US20070058037A1 - User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same - Google Patents

User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same Download PDF

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Publication number
US20070058037A1
US20070058037A1 US11/407,217 US40721706A US2007058037A1 US 20070058037 A1 US20070058037 A1 US 20070058037A1 US 40721706 A US40721706 A US 40721706A US 2007058037 A1 US2007058037 A1 US 2007058037A1
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US
United States
Prior art keywords
information
receptacle
prohibited object
image
user interface
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US11/407,217
Inventor
Eric Bergeron
Jean Lachapelle
Marc Gendron
Bertrand Couture
Michel Bouchard
Luc Perron
Martin Lacasse
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Vanderlande APC Inc
Original Assignee
Optosecurity Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Optosecurity Inc filed Critical Optosecurity Inc
Assigned to OPTOSECURITY INC. reassignment OPTOSECURITY INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BERGERON, ERIC, BOUCHARD, MICHEL R., COUTURE, BERTRAND, GENDRON, MARC, LACASSE, MARTIN, LACHAPELLE, JEAN, PERRON, LUC
Priority to CA002608121A priority Critical patent/CA2608121A1/en
Priority to EP06741416A priority patent/EP1880331A4/en
Priority to PCT/CA2006/000655 priority patent/WO2006119609A1/en
Priority to AU2006246250A priority patent/AU2006246250A1/en
Priority to CA002608124A priority patent/CA2608124A1/en
Priority to US11/431,719 priority patent/US20070041613A1/en
Priority to PCT/CA2006/000751 priority patent/WO2006119629A1/en
Publication of US20070058037A1 publication Critical patent/US20070058037A1/en
Priority to CA002584683A priority patent/CA2584683A1/en
Priority to US11/785,116 priority patent/US20080062262A1/en
Abandoned legal-status Critical Current

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    • G01V5/22
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/88Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters
    • G06V10/89Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators
    • G06V10/893Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators characterised by the kind of filter
    • G06V10/898Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators characterised by the kind of filter combination of filters, e.g. phase-only filters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/05Recognition of patterns representing particular kinds of hidden objects, e.g. weapons, explosives, drugs

Definitions

  • the present invention relates generally to security systems and, more particularly, to a user interface for use in screening luggage, mail parcels or cargo containers to identify certain objects located therein or for screening persons to identify certain objects located thereon and to a method and system for implementing such a user interface.
  • security-screening systems at airports make use of devices generating penetrating radiation, such as x-ray devices, to scan individual pieces of luggage to generate an image conveying the contents of the luggage.
  • the image is displayed on a screen and is examined by a human operator whose task it is to identify, on the basis of the image, potentially threatening objects located in the luggage.
  • a deficiency with current systems is that they are entirely reliant on the human operator to identify potentially threatening objects.
  • the performance of the human operator greatly varies according to such factors as poor training and fatigue.
  • the process of detection and identification of threatening objects is highly susceptible to human error.
  • the invention provides a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening.
  • the method comprises receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle.
  • the method also includes displaying first information conveying an image associated with the receptacle on the basis of the image signal.
  • the method also includes displaying second information conveying a presence of at least one prohibited object in the receptacle, the second information being displayed simultaneously with the first information.
  • the method also includes providing a control allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the at least one prohibited object.
  • the first information and second information are displayed in a first viewing window and the third information is displayed in a second viewing window.
  • the control is adapted for causing the second viewing window to be displayed to a user.
  • control allows the user to cause the third information to be displayed by using any suitable input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • control may be embodied in any suitable form including, for example, a selection box.
  • the graphical user interface module displays a prohibited object list, the prohibited object list including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected.
  • at least one entry in the prohibited object list conveys a level of confidence associated to detection of the corresponding prohibited object in the receptacle.
  • the graphical user interface module is adapted for enabling a user to select an entry from the plurality of entries in the prohibited object list and to display information associated with the entry selected by the user.
  • the type of information displayed associated with the entry selected can vary from one implementation to the other depending on the specific application. Examples of the type of information that can be displayed include an image of the selected prohibited object detected and a risk levels associated to the prohibited object detected.
  • the second information conveys the presence of at least one prohibited object in the receptacle in either textual format or graphical format.
  • the second information conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
  • the method comprises receiving a detection signal conveying the presence of at least one prohibited object in the receptacle and processing the detection signal to derive the second information.
  • the detection signal may convey a plurality of information items.
  • the detection signal may provide information allowing to identify the type of prohibited object detected, the level of confidence associated to the detection process and the position of the prohibited object in the receptacle amongst others.
  • the graphical user interface module may be operative for processing the data element indicative of the level of confidence in combination with a detection sensitivity level.
  • the second information may be omitted from the user interface module.
  • the user interface provides a control allowing a user to modify the detection sensitivity level.
  • receptacle is used to broadly describe an entity adapted for receiving objects therein such as, for example, a luggage item, a cargo container or a mail parcel.
  • the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.
  • the invention provides and apparatus suitable for implementing a user interface for use in screening a receptacle to detect the presence of one or more prohibited objects in accordance with the above described method.
  • the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for displaying information associated to the content of a receptacle in accordance with the above described method.
  • the invention provides an apparatus for implementing a user interface module for use in screening receptacles to detect the presence of one or more prohibited objects.
  • the apparatus comprises means for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle.
  • the apparatus also comprises means for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle.
  • the apparatus also comprises means for implementing the user interface module.
  • the user interface module is adapted for displaying first information conveying an image associated with the receptacle on the basis of the image signal.
  • the user interface module is also adapted for displaying second information conveying a presence of at least one prohibited object in the receptacle, the second information being displayed simultaneously with the first information and being derived at least in part on the basis of the detection signal.
  • the user interface module is also adapted for providing a control allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the at least one prohibited object.
  • the apparatus also comprises means for releasing a signal adapted to cause a display module to display the user interface module.
  • the invention provides a system for detecting the presence of one or more prohibited objects in a receptacle.
  • the system includes an input, an optical correlator and an apparatus for implementing a user interface module.
  • the input is for receiving data conveying graphic information regarding the contents of the receptacle.
  • the optical correlator is in communication with the input and is operative for processing the graphic information to detect a depiction of the one or more prohibited objects in the receptacle.
  • the apparatus implementing the user interface module is in communication with the input and with the optical correlator.
  • the user interface module implemented by the apparatus is operative for displaying first information conveying an image associated with the receptacle on the basis of the data conveying graphic information regarding the contents of the receptacle.
  • the user interface module is also adapted for displaying second information conveying a presence of one or more prohibited objects in the receptacle, the second information being displayed simultaneously with the first information.
  • the user interface module is also operative for releasing a signal adapted to cause a display module to display the user interface module.
  • the invention provides a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening.
  • the method comprises receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle and displaying first information conveying an image associated with the receptacle on the basis of the image signal.
  • the method also comprises receiving a detection signal conveying a presence of at least one prohibited object in the receptacle and displaying second information conveying a presence of at least one prohibited object in the receptacle.
  • the second information is displayed simultaneously with the first information and is derived at least in part on the basis of the detection signal.
  • the invention provides an apparatus suitable for implementing a user interface for use in screening a receptacle to detect the presence of one or more prohibited objects in accordance with the above described method.
  • the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for displaying information associated to the content of a receptacle in accordance with the above described method.
  • the invention provides an apparatus for implementing a user interface module for use in screening a person to detect the presence of one or more prohibited objects.
  • the apparatus comprising a first input for receiving an image signal associated with the person and a second input for receiving a detection signal conveying a presence of at least one prohibited object on the person.
  • the apparatus also includes a processing unit operative for implementing the user interface module.
  • the user interface module is adapted for displaying first information conveying an image associated with the person on the basis of the image signal and displaying second information conveying a presence of at least one prohibited object on the person.
  • the second information is displayed simultaneously with the first information and is derived at least in part on the basis of the detection signal.
  • the apparatus also includes an output for releasing a signal adapted to cause a display module to display said user interface module.
  • FIG. 1 is a high-level block diagram of a system for screening a receptacle to detect therein the presence of one or more prohibited objects in accordance with a specific example of implementation of the present invention
  • FIG. 2 is a block diagram of an output module suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention
  • FIG. 3 is a block diagram of an apparatus suitable for implementing a user interface for use in screening a receptacle in accordance with a specific example of implementation of the present invention
  • FIG. 4 shows a flow diagram depicting a process for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening;
  • FIG. 5 a and 5 b depict viewing windows of a user interface module displayed by the output module of FIG. 2 in accordance with a specific example of implementation of the present invention
  • FIG. 5 c depicts a viewing window of a user interface module displayed by the output module of FIG. 2 in accordance with an alternative specific example of implementation of the present invention
  • FIG. 5 d depicts a control window of a user interface module displayed by the apparatus of FIG. 3 allowing a user to select screening options in accordance with a specific example of implementation of the present invention
  • FIG. 6 is a block diagram of an apparatus for processing images suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention
  • FIG. 7 is a flow diagram depicting a process for detecting a presence of at least one target object in the receptacle in accordance with specific examples of implementation of the present invention.
  • FIG. 8 shows three images associated to a target object suitable for use in connection with the system depicted in FIG. 1 , each image depicting the target object in a different orientation, in accordance with a specific example of implementation of the present invention
  • FIG. 9 shows a mosaic image including a plurality of sub-images associated with a target object suitable for use in connection with the system depicted in FIG. 1 , each sub-image depicting the target object in a different orientation and scale, in accordance with a specific example of implementation of the present invention
  • FIG. 10 is a functional block diagram a luggage screening system including an optical correlator in accordance with a specific example of implementation of the present invention.
  • FIG. 11 is a block diagram depicting the functioning of an optical correlator in accordance with a specific example of implementation of the present invention.
  • FIG. 12 depicts a Fourier transform, amplitude and phase, of the spatial domain image for number 2 ;
  • FIG. 13 shows two images associated to a person suitable for use in a system for screening a person to detect the presence of one or more prohibited objects in accordance with a specific example of implementation of the present invention
  • FIG. 14 is a block diagram of an apparatus suitable for implementing a user interface for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening in accordance with a specific example of implementation of the present invention
  • FIG. 15 is a block diagram of an alternative implementation of an apparatus suitable for for use in detecting the presence of one or more prohibited objects in a receptacle during security screening in accordance with a specific example of implementation of the present invention
  • FIG. 16 shows a functional block diagram of a client-server system suitable for use in screening a receptacle to detect therein the presence of one or more prohibited objects in accordance with an alternative specific example of implementation of the present invention.
  • FIG. 1 Shown in FIG. 1 is a system 100 for screening a receptacle in accordance with a specific example of implementation of the present invention.
  • receptacle as used for the purposes of the present description, is used to broadly describe an entity adapted for receiving objects therein such as, for example, a luggage item, a cargo container or a mail parcel.
  • the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.
  • the system 100 includes an image generation device 102 ; an apparatus 106 in communication with the image generation device 102 and an output module 108 .
  • the image generation device 102 generates an image signal associated with a receptacle 104 .
  • the image signal conveys information related to the contents of the receptacle 104 .
  • the apparatus 106 receives the image signal associated with the receptacle 104 and processes that image signal in combination with a plurality of target images associated with target objects to detect a presence of at least one target object in the receptacle 104 .
  • the plurality of target images is stored in a database of target images 110 .
  • the apparatus 106 In response to detection of the presence of at least one target object in the receptacle 104 , the apparatus 106 generates a detection signal conveying the presence of the target object in the receptacle 104 . Examples of the manner in which the detection signal can be derived are described later on in the specification.
  • the output module 108 conveys to a user information derived at least in part on the basis of the detection signal to a user of the system.
  • the system 100 provides assistance to the human security personnel using the system in detecting certain target objects, including prohibited objects, and decreases the susceptibility of the screening process to human error.
  • the image generation device 102 uses penetrating radiation or emitted radiation to generate the image associated with the receptacle 104 .
  • penetrating radiation or emitted radiation include, without being limited to, x-ray, gamma ray, computed tomography (CT scans), thermal imaging, TeraHertz and millimeter wave devices.
  • CT scans computed tomography
  • thermal imaging TeraHertz
  • millimeter wave devices such devices are known in the art and as such will not be described further here.
  • the image generation device 102 is a conventional x-ray machine adapted for generating an x-ray image of the receptacle 104 .
  • the image signal generated by the image generation device 102 and associated with the receptacle 104 may be conveyed as a two-dimensional (2-D) image or as a three-dimensional (3-D) image and may be in any suitable format. Possible formats include, without being limited to, JPEG, GIF, TIFF and bitmap amongst others. Preferably, the image signal is in a format that can be displayed on a display screen.
  • the database of target images 110 includes a plurality of entries associated to respective target objects that the system 100 is designed to detect.
  • target image for each entry associated to a target object at least one image (hereinafter referred to as a “target image”) is provided in the database of target images 110 .
  • the format of the target images will depend upon the image processing algorithm implemented by the apparatus 106 . More specifically, the format of the target images is such that a comparison operation can be performed by the apparatus 106 between the target images and data derived from the image signal associated with the receptacle 104 .
  • a set of images is provided in the database of target images 1 10 .
  • images depicting the target object in various orientations may be provided.
  • FIG. 6 of the drawings depicts an example of arbitrary 3D orientations of a target object.
  • characteristics of the target object are provided. Such characteristics may include, without being limited to, the name of the target object, its associated threat level, the recommended handling procedure when such a target object is detected and any other suitable information.
  • the threat level information associated to the target object convey the relative threat level of a prohibited object compared to other prohibited objects in the database of target images 110 .
  • a gun would be given a relatively high threat level while a metallic nail file would be given a relatively low level threat level and a pocket knife would be given a threat level between that of the nail file and the gun.
  • each entry in the database of target images 110 is also associated to a respective target object identifier data element.
  • the database of target images 110 includes at least one entry associated to a prohibited object, such as a weapon.
  • a prohibited object such as a weapon.
  • luggage screening in an airport facility for example
  • the prohibited object typically constitutes a potential threat to the safety of the passenger or aircraft.
  • the prohibited object is typically an object that is normally not permitted to be sent through the mail, such as guns (in Canada) for example, due to registration requirements/permits and so on.
  • the database of target images 110 includes one or more entries associated to objects which are not prohibited but which may represent potential threats. For example, the presence of a metal plate or a metal canister in a piece of luggage going through luggage security screening is not prohibited in itself. However such objects may conceal one or more dangerous objects. As such, it is desirable to be able to detect the presence of such objects in receptacle such as to bring them to the attention of the security screeners.
  • the specific design and content of the database of target images 110 may vary from one implementation to the next without detracting from the spirit of the invention.
  • the design of the database is not critical to the present invention and as such will not be described further here.
  • the database of target images 110 has been shown in FIG. 1 to be a component separate from the apparatus 106 , it will be appreciated that in certain embodiments the database of target images 110 may be part of apparatus 106 and that such implementations do not detract from the spirit of the invention. In addition, it will also be appreciated that in certain implementations, the database of target images 110 is shared between multiple apparatuses 106 .
  • the output module 108 conveys to a user of the system information derived at least in part on the basis of the detection signal.
  • the output module 108 includes an output device 202 and an output controller unit 200 .
  • the output device 202 may be any device suitable for conveying information to a user of the system 100 regarding the presence of a prohibited object in the receptacle 104 .
  • the information may be conveyed in visual format, audio format or as a combination of visual and audio formats.
  • the output device 202 is in communication with the output module 200 and includes a display unit adapted for displaying in visual format information related to the presence of a prohibited object in the receptacle 104 on the basis of a signal received from the output module 200 .
  • the output device 202 includes a printer adapted for displaying in printed format information related to the presence of a prohibited object in the receptacle 104 .
  • the output device 202 includes an audio output unit adapted for releasing an audio signal conveying information related to the presence of a prohibited object in the receptacle 104 .
  • the output device 202 includes a set of visual elements, such as lights or other suitable visual elements, adapted for conveying in visual format information related to the presence of a prohibited object in the receptacle 104 .
  • the person skilled in the art will readily appreciate, in light of the present specification, that other suitable types of output devices may be used here without detracting from the spirit of the invention.
  • the output controller unit 200 receives the detection signal conveying the presence of the at least one prohibited object in the receptacle 104 from apparatus 106 (shown in FIG. 1 ).
  • the detection signal conveys position information related to a certain prohibited object detected in the receptacle 104 and information allowing for the identification of the prohibited object.
  • the detection signal also conveys a prohibited object identifier data element.
  • the prohibited object identifier data element is associated to an entry in the database of target images 110 .
  • the output controller unit 200 includes an apparatus 1510 of the type depicted in FIG. 3 implementing a user interface module.
  • the output controller unit 200 is adapted for communicating with an output device 202 including a display screen for causing the latter to display the user interface module generated by the apparatus 1510 .
  • the apparatus 1510 implements a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening.
  • a specific example of a method implemented by the apparatus 1510 will now be described with reference to FIG. 4 .
  • an image signal associated with a receptacle is received, the image signal conveying information related to the contents of the receptacle.
  • first information conveying an image associated with the receptacle on the basis of the image signal is caused to be displayed.
  • second information is displayed, the second information conveying a presence of at least one prohibited object in the receptacle. The second information is displayed simultaneously with the first information.
  • the second information is derived from a detection received from the image processing apparatus 106 and conveying the presence of at least one prohibited object in the receptacle.
  • a control is provided for allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the prohibited object whose presence in the receptacle was detected.
  • the apparatus 1510 includes a first input 1512 , a second input 1502 , a third input 1504 , a user input 1550 , a processing unit 1506 and an output 1508 .
  • the first input 1512 is for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle.
  • the image signal is derived from a signal generated by the image generation device 102 (shown in FIG. 1 ).
  • the second input 1502 is for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle.
  • the detection signal is provided by the image processing apparatus 106 .
  • the type of information received at the second input 1502 depends on the specific implementation of the image processing apparatus 106 and may vary from one implementation to the next without detracting from the spirit of the invention. Examples of the type of information that may be received include information on the position of the prohibited object detected, information about the level of confidence of the detection and data allowing identifying the prohibited object detected.
  • the third input 1504 is for receiving information associated to the one or more prohibited objects detected in the receptacle from the database of target images 110 .
  • the type of information received at the third input 1504 depends on the content of the database of target images 110 and may vary from one implementation to the next. Examples of the type of information that may be received include images depicting the target object and characteristics of the target object. Such characteristics may include, without being limited to, the name of the target object, dimensions of the target object, its associated threat level, the recommended handling procedure when such a target object is detected and any other suitable information.
  • the user input 1550 is for receiving signals from a user input device, the signals conveying commands for controlling the information displayed by the user interface module or for annotating the information displayed.
  • Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.
  • the processing unit 1506 is in communication with the first input 1512 , the second input 1502 , the third input 1504 and the user input 1550 and implements a user interface module for displaying information for use in screening receptacles to detect the presence of one or more prohibited objects.
  • the output 1508 is for releasing a signal for causing the output device 202 (shown in FIG. 2 ) to display the graphical user interface module implemented by processing unit 1506 .
  • a graphical user interface module implemented by apparatus 1510 in accordance with a specific example of implementation is described in greater detail herein below with reference to figures 5 a , 5 b , 5 c and 5 d.
  • FIG. 5 a there is shown a display generated by a graphical user interface module in accordance with a non-limiting implementation on the invention.
  • the user interface module displays first information 1604 conveying an image associated with a receptacle on the basis of the image signal received at input 1512 (shown in FIG. 3 ).
  • the image associated with the receptacle may be in any suitable format and will depend on the format of the image signal received at input 1512 .
  • the image may be of type x-ray, gamma-ray, computed tomography (CT scans), TeraHertz, millimeter wave or emitted radiation amongst others.
  • the user interface module also displays second information 1606 conveying a presence of one or more prohibited objects in the receptacle on the basis of the detection signal received at input 1502 (shown in FIG. 3 ).
  • the second information 1606 is derived at least in part on the basis of the detection signal received at second input 1502 .
  • the second information 1606 is displayed simultaneously with the first information 1604 .
  • the second information 1606 conveys position information related to one or more prohibited objects whose presence in the receptacle was detected.
  • the second information may convey the presence of one or more prohibited object in the receptacle in textual format in graphical format or as a combination of graphical information and textual information.
  • the second information may appear in a dialog box with a message of the form “A ### prohibited object name ### has been detected.”
  • the second information 1606 includes visual graphic indicators in the form of circles positioned such as to identify the location of the one or more prohibited objects in the image associated with the receptacle. The location of the circles is derived on the basis of the content of the detection signal received at input 1502 (shown in FIG. 3 ). It will be readily apparent that visual indicators of any suitable shape (e.g. square, arrows, etc . . .
  • may be used to identify the location of the one or more prohibited objects in the image associated with the receptacle and that the examples depicted in the figures have been presented for the purpose of illustration only. Moreover, functionality may be provided to the user to allow the latter to modify the appearance, such as size, shape and/or color, of the visual indicators used to identify the location of the one or more prohibited objects in the image associated with the receptacle.
  • the manner in which such a functionality would be provided is not critical to the present invention and as such will not be described further here.
  • the user interface module also provides a control 1608 allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the one or more prohibited objects.
  • the control 1608 allows the user to cause the third information to be displayed by using an input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • the control 1608 is in the form of a selection box including an actuation button that can be selectively actuated by a user.
  • the control 1608 is provided as a physical button (or key) on a keyboard or other input device that can be selectively actuated by a user.
  • the physical button (or key) is in communication with the apparatus 1510 (shown in FIG. 3 ) through user input 1550 .
  • the first information 1604 and the second information 1606 are displayed in a first viewing window 1602 and the third information is displayed in a second viewing window 1630 of the type depicted in figure 5 b .
  • the first and second viewing windows 1602 and 1630 may be displayed concurrently on same display screen, concurrently on separate display screens or separately such that when the second viewing window 1630 is displayed the first viewing window 1602 is partially or fully concealed.
  • the control 1608 allows a user to cause the second viewing window displaying third information to be displayed.
  • FIG. 5 c of the drawings depicts an alternative embodiment of a user interface module where the first and second viewing windows 1602 and 1630 are displayed concurrently.
  • a second viewing window 1630 for displaying third information conveying at least one characteristic associated to the one or more prohibited objects detected in the receptacle.
  • the type of data conveyed by the third information will vary from one implementation to another.
  • the third information conveys an image 1632 and object characteristics 1638 including a description, a risk level and a level of confidence for the detection, each of the above being associated with one of the prohibited objects that was detected.
  • Other types of information that may be conveyed include, without being limited to: handling procedure when such a prohibited object is detected, dimensions of the prohibited object or any other characteristics of the prohibited object that could assist the user in validating the information provided, confirm its presence, or facilitate its handling.
  • the third information may be conveyed in textual formal or graphical format.
  • the third information may include information related to the level of confidence for the detection using a color schema.
  • a non-limiting example of a color scheme that may be used in the following:
  • the third information may include information related to the level of confidence for the detection using a shape schema.
  • the use of a shape based scheme to show information related to the level of threat is particularly useful for individuals who are color blind or for use with monochromatic display screens.
  • a non-limiting example of a shape scheme that may be used in the following:
  • the processing unit 1506 is adapted to transmit a query signal to the database of prohibited objects 110 (shown in FIG. 1 ), on the basis of information received through input 1502 in the detection signal, in order to obtain certain information elements associated to a detected prohibited object, for example an image, a description, a risk level and a handling procedure amongst others.
  • the database of prohibited objects 110 (shown in FIG. 1 ) transmits the requested information with the processing unit 1506 through input 1504 .
  • a signal conveying information associated with one of the prohibited objects that was detected can automatically provided to the apparatus 1510 without requiring a query.
  • the graphical user interface module displays a prohibited object list 1634 including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected.
  • the prohibited object list 1634 is displayed in the second viewing window 1630 however it will be readily apparent that such a list may alternatively be displayed in the first viewing window 1602 or in yet another viewing window distinct from the first viewing window 1602 and the second viewing window 1630 without detracting from the spirit of the invention.
  • the prohibited object list 1634 may be displayed in the first viewing window 1602 and may perform the functionality of the control 1608 . More specifically, in this alternative implementation, the control 1608 (shown in FIG.
  • 5 a is embodied in the form of a list of prohibited objects including entries associated to prohibited objects detected in the receptacle.
  • the user is enabled to select one or more entries from the list of detected prohibited objects.
  • third information conveying at least one characteristic associated to the one or more selected prohibited objects is caused to be displayed by the user interface.
  • each entry in the list of entries 1634 includes information conveying a level of confidence associated to the presence of the corresponding prohibited object in the receptacle.
  • the information conveying a level of confidence is extracted from the detection signal received at input 1502 .
  • the graphical user interface module is operative for processing a data element indicative of the level of confidence received in the detection signal in combination with a detection sensitivity level.
  • the level of confidence associated to the presence of a prohibited object in the receptacle conveyed by the data element in the detection signal is below the detection sensitivity level
  • the second information associated with the prohibited object is omitted from the user interface module.
  • the prohibited object is not listed in the list of entries 1634 . As such, only information associated to prohibited objects for which detection levels of confidence exceeds the detection sensitivity level is provided by the user interface.
  • each entry in the list of entries 1634 includes information conveying a threat level (not shown in the figures) associated to the corresponding prohibited object in the receptacle.
  • the information conveying a threat level is extracted from the signal received from the database of target images 110 received at third input 1504 .
  • the threat level information associated to the prohibited object may convey the relative threat level of a prohibited object compared to other prohibited objects in the database of target images 110 . For example, a gun would be given a relatively high threat level while a metallic nail file would be given a relatively low threat level and perhaps a pocket knife would be given a threat level between that of the nail file and the gun.
  • functionality is provided to the user for allowing the latter to sort the entries in the list of entries 1634 on the basis of one or more selection criteria.
  • criteria may include, without being limited to, the detection levels of confidence and/or the threat level.
  • such functionality may be enabled by displaying a control (not shown on the figures) on the user interface in the form of a pull-down menu providing a user with a set of sorting criteria and allowing the user to select the criteria via a user input device.
  • the entries in the list of entries 1634 are sorting on the basis of the criteria selected by the user.
  • functionality is provided to the user for allowing the latter to add and/or remove one or more entries in the list of entries 1634 .
  • Removing an entry may be desirable for example when the screening personnel observes the detection results and decides that the detection was erroneous or, alternatively, that the object detected is not particularly problematic.
  • Adding an entry may be desirable for example when the screening personnel observes the presence of a prohibited object on the image displayed which was not detected.
  • the user is prompted to enter information conveying a reason why the entry was removed/added from/to the list of entries.
  • the information may be entered using any suitable user input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.
  • the graphical user interface module enables a user to select one or more entries from the plurality of entries in the prohibited object list 1634 for which third information is to be displayed in the second viewing window 1630 .
  • the user can select one or more entries entry from the prohibited object list 1634 by using an input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • the user selection is received at user input 1550 .
  • information associated with the one or more entries selected in the prohibited object list 1634 is displayed in the second viewing window 1630 .
  • the user interface module is adapted for displaying a second control (not shown in the figures) for allowing a user to cause the second information to be removed from the user interface module.
  • the user interface module is adapted for displaying additional controls 1636 for allowing a user to modify the configuration of the user interface.
  • the user interface module displays a control window of the type depicted in FIG. 5 d, in response to actuation of control button 1680 , allowing a user to select screening options.
  • the user is enabled to select between the following screening options:
  • the setting threshold sensitivity/confidence level 1660 may only be made available to user having certain privileges (examples screening supervisors or security directors).
  • the user interface module may include some type of user identification functionality, such as a login process, to identify the user of the screening system.
  • the user interface module upon selection by the user of the setting threshold sensitivity/confidence level 1660 option, may prompt the user to enter a password for allowing the user to modify the detection sensitivity level of the screening system.
  • the user interface module is adapted to allow the user to add complementary information to the information being displayed on the user interface.
  • the user is enabled to insert markings in the form of text and/or visual indicators in the image displayed on the user interface.
  • the markings may be used, for example, to emphasize certain portions of the receptacle.
  • the marked-up image may then be transmitted to a third party location, such as a checking station, so that the checking station is alerted to verify the marked portion of the receptacle to locate a prohibited object.
  • the user input 1550 receives signals from a user input device, the signals conveying commands for marking the image displayed in the user interface.
  • Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.
  • a mouse keyboard
  • pointing device pointing device
  • speech recognition unit touch sensitive screen
  • the user interface module is adapted to store a history of the image signals received at first input 1512 conveying information related to the contents of previously screened receptacles.
  • the image signals may be stored in association with the corresponding detection signals received at input 1502 and any corresponding user input received at input 1550 .
  • the history of prior images may be accessed through a suitable control (not shown in the figures) provided on the user interface.
  • the control may be actuated to cause a list for prior images to be displayed to the user.
  • the user may then be enabled to select one or more entries in the list of prior images.
  • the selection may be effected on the basis of the images themselves or by allowing the user to specify either a time or time period associated to the images in the history of prior images.
  • the one or more images from the history of prior images may then be displayed to the user along with information regarding the prohibited objects detected in those images. When multiple images are selected, the selected images may be displayed concurrently with another or may be displayed separately.
  • the user interface module is adapted to assign a classification to the receptacle depending upon the detection signal received at second input 1502 and optionally on the basis of information associated with the prohibited objects conveyed by the detection signal.
  • the classification criteria may vary from one implementation to the other and may be further conditioned on the basis of external factors such as national security levels.
  • the classification may be a two level classification, such as an “ACCEPTED/REJECTED” type of classification or alternatively may be a multi-level classification.
  • An example of a multi-level classification is a three level classification where the receptacles are classified as “LOW/MEDIUM/ HIGH RISK”. The classifications may then be associated to respective handling procedures.
  • each class is associated to a set of criteria.
  • criteria may include, without being limited to: a threshold confidence level associated to the detection process, the level of risk associated with the prohibited object detection and whether a prohibited object was detected. It will be readily apparent to the person skilled in the art in light of the specification that other criteria may be used without detracting from the spirit of the invention.
  • the apparatus 200 for implementing a user interface then releases a signal for causing the output device 202 , in the form of a display, to convey the user interface to a user of the system.
  • the output controller unit 200 is adapted to cause an audio unit to convey information related to the certain target object in the receptacle 104 .
  • the output controller unit 200 generates audio data conveying the presence of the certain target object in the receptacle 104 , the location of the certain target object in the receptacle 104 and the characteristics of the target object.
  • the apparatus 106 includes a first input 310 , a second input 314 , an output 312 and a processing unit, generally comprising a pre-processing module 300 , an image comparison module 302 and a detection signal generator module 306 .
  • the first input 310 is for receiving an image signal associated with a receptacle from the image generation device 102 (shown in FIG. 1 ).
  • the second input 314 is for receiving target images from the database of target images 110 . It will be appreciated that in embodiments where the database of target images 110 is part of apparatus 106 , the second input 314 may be omitted.
  • the output 312 is for releasing a detection signal conveying the presence of a target object in the receptacle 104 for transmittal to output module 108 .
  • the processing unit of the apparatus 106 receives the image signal associated with the receptacle 104 from the first input 310 and processes that image signal in combination with a plurality of target images associated with target objects received at input 314 to detect a presence of a target object in the receptacle 104 . In response to detection of the presence of at least one target object in the receptacle 104 , the processing unit of the apparatus 106 generates and releases at output 312 a detection signal conveying the presence of the target object in the receptacle 104 .
  • the pre-processing module 300 receives an image signal associated with the receptacle 104 is received via the first input 310 .
  • the pre-processing module 300 processes the image signal in order to enhance the image, remove extraneous information therefrom and remove noise artefacts in order to obtain more accurate comparison results.
  • the complexity of the requisite level of pre-processing and the related tradeoffs between speed and accuracy depend on the application. Examples of pre-processing may include, without being limited to, brightness and contrast manipulation, histogram modification, noise removal and filtering amongst others.
  • the pre-processing module 300 may actually be external to the apparatus 106 , e.g., it may be integrated as part of the image generation device 102 or as an external component. It will also be appreciated that the pre-processing module 300 (and hence step 501 ) may be omitted in certain embodiments of the present invention without detracting from the spirit of the invention. As part of step 501 , the pre-processing module 300 releases a modified image signal for processing by the image comparison module 302 .
  • the image comparison module 302 verifies whether there remain any unprocessed target images in the database of target images 110 . In the affirmative, the image comparison module 302 proceeds to step 503 where the next target image is accessed and the image comparison module 302 then proceeds to step 504 . If at step 502 all target images in the database of target images 110 have been processed, the image comparison module 302 proceeds to step 508 and the process is completed.
  • the image comparison module 302 compares the image signal associated with the receptacle 104 against the target image accessed at step 503 to determine whether a match exists.
  • the comparison may be effected using any image processing algorithm suitable for comparing two images. Examples of algorithms that can be used to perform image processing and comparison include without being limited to:
  • the image comparison module 302 includes an edge detector to perform part of the comparison at step 504 .
  • the comparison performed at step 504 includes effecting a correlation operation between data derived from the image signal and the target images in the database 110 .
  • the correlation operation is performed by an optical correlator.
  • an optical correlator suitable for use in comparing two images will be described later on in the specification.
  • the correlation operation is performed by a digital correlator.
  • the image comparison module 302 then proceeds to step 506 where the result of the comparison effected at step 504 is processed to determine whether a match exists between the image signal associated with the receptacle 104 and the target image. In the absence of a match, the image comparison module 302 returns to step 502 . In response to detection of a match, the image comparison module 302 triggers the detection signal generation module 306 to execute step 510 . Then, the image comparison module 302 returns to step 502 to continue processing with respect to the next target image.
  • the detection signal generation module 306 generates a detection signal conveying the presence of the target object in the receptacle 104 , and the detection signal is released at output 312 .
  • the detection signal may simply convey the fact that a target object has been detected as present in the receptacle 104 , without necessarily specifying the identity of the target object.
  • the detection signal may convey the actual identity of the detected target object detected as being present in the receptacle 104 .
  • the detection signal may include information related to the positioning of the target object within the receptacle 104 and optionally a target object identifier data element associated to the target object determined to be a potential match.
  • step 504 which involves a comparison between the image signal associated with the receptacle 104 and the target images from the database of target images 110 , is performed using a correlation operation.
  • the correlation operation multiplies together the Fourier transform of the image signal associated with the receptacle 104 with the Fourier transform complex conjugate of a target image.
  • the result of the correlation operation provides a measure of the degree of similarity between the two images.
  • the image comparison module 302 includes an optical correlator unit for computing the correlation between the image signal associated with the receptacle 104 and a target image from the database of target images 110 .
  • the optical correlator include a joint transform correlator (JTC) and a focal plane correlator (FPC).
  • the optical correlator multiplies together the Fourier transform of the image signal associated with the receptacle 104 with the Fourier transform complex conjugate of a target image and records the result with a camera. An energy peak measured with that camera indicates a match between the image signal associated with the receptacle 104 and the target image.
  • an optical correlator performs the correlation operation physically through light-based computation, rather than by using software running on a silicon-based computer, which allows computations to be performed at a higher speed than is possible with a software implementation and thus provides for improved real-time performance.
  • the correlation computation may also be implemented using a digital correlator.
  • the correlation operation is computationally intensive and, in certain implementations requiring real-time performance, the use of a digital correlator may not provide a suitable performance. In such implementations, an optical correlator will be preferred.
  • the correlation computation is performed between an images associated with the receptacle 104 and the target images from the database of target images 110 , which includes a plurality of target images associated to objects, which the system 100 is designed to detect.
  • the content and format of the database of target images 110 may vary from one implementation to the next.
  • the next paragraphs describe manners in which the database 110 can be generated when a correlation computation is used to effect a comparison between an image associated with the receptacle 104 and the target images from the database of target images 110 .
  • the skilled person in the art will readily appreciate in fight of the present description that other manners for generating the database 110 may be used without detracting from the spirit of the invention.
  • the database of target images 110 includes data indicative of the Fourier transform of the target image.
  • This data will herein be referred to as a template or filter.
  • the Fourier transform of the target image is digitally pre-computed such as to improve the speed of the correlation operation when the system is in use.
  • Image processing and enhancement can be performed on an original image of a target object to obtain better matching performance depending on the environment and application.
  • the generation of the reference template or filter is performed in a few steps. First, the background is removed from the target image.
  • the target image is extracted from the background and the background is replaced by a black background.
  • the resulting image is then processed through a Fourier transform function.
  • the result of this transform is a complex image.
  • a phase only filter (POF) for example will only contain the complex conjugate of the phase information (between zero and 2 pi) which is mapped to a 0 to 255 range values. These 256 values correspond in fact to the 256 levels of gray of an image.
  • phase only filters Phase only filters
  • a MACE Minimum Average Correlation Energy
  • the MACE filter combines several different 2D projections of a given object and encodes them in a single MACE filter instead of having one 2D projection per filter.
  • One of the benefits of using MACE filters is that the resulting database of target images 110 would take less space since it would include fewer items. Also, since the number of correlation operations needed to identify a single target object would be reduced, the total processing time to determine whether a given object is present would also be reduced.
  • MACE filters Mahalanobis, A., B. V. K. Vijaya Kumar, and D. Casasent (1987); Minimum average correlation energy filters, Appl. Opt. 26 no. 17, 3633-3640. The contents of this document are incorporated herein by reference.
  • Another way of reducing the processing time of the correlation computation is to take advantage of the linear properties of the Fourier transform.
  • a composite image can be formed, herein referred to as a mosaic.
  • the correlation is computed simultaneously on all the sub-images without incurring any substantial time penalty.
  • a mosaic may contain several different target objects or several different orientations of the same target object or a combination of both.
  • FIG. 9 of the drawings depicts a mosaic including a target object in various orientations and scales. The parallel processing 5 capabilities of a mosaic effectively increase the throughput of an optical correlator.
  • FIG. 10 depicts a high level functional block diagram of a receptacle screening system using an optical correlator as part of the image comparison module 302 .
  • an image 800 associated with a receptacle is generated by the image generation device 102 and provided as input to the pre-processing module 300 .
  • the pre-processing module 300 performs image acquisition and pre-processing operations and forwards the pre-processed signal to the optical correlator, which is part of the image comparison module 302 .
  • the pre-processed image undergoes an optical Fourier transformation 840 .
  • the result of the transformation is multiplied 820 by the (previously computed) Fourier transform complex conjugate of a target image 804 obtained from the database of target images 110 .
  • the optical correlator then processes the result of the multiplication of the two Fourier transforms by applying another optical Fourier transform 822 .
  • the resulting signal is captured by a camera at what is referred to as the correlation plane, which yields the correlation output.
  • the correlation output is released for transmission to the detection signal generator 306 where it is analyzed. A peak in the correlation output indicates a match between the image 800 associated with the receptacle 104 and the target image 804 .
  • the result of the processing is then conveyed to the user by output module 108 .
  • the Fourier transform of the image 800 associated with the receptacle 104 is performed as follows: The image is displayed internally on a small Liquid Crystal Display (LCD). A collimated coherent light beam projects the image through a lens that performs the equivalent of a Fourier transform on the image.
  • the multiplication 820 of the Fourier transform of the image 800 by the (previously computed) Fourier transform complex conjugate of a target image 804 is performed by projecting the Fourier transform of the image 800 on a second LCD screen on which is displayed the template or filter associated to the target image 804 .
  • the detection signal generator module 306 includes a frame grabber implemented by a digital computer. The digital computer is programmed to detect correlation peaks captured by the CCD.
  • FIG. 11 The inner workings of the aforementioned non-limiting example optical correlator are illustrated in FIG. 11 .
  • a laser source 900 that generates a coherent light beam used to project images across the correlator.
  • the light beam is directed first through a small set of lenses 902 used to expand its diameter in order to illuminate, in parallel, the whole surface of a first LCD screen 904 .
  • the image 800 associated with the receptacle 104 is displayed on the first LCD screen 904 either through a direct camera interface or provided as a VGA image by a computing device.
  • the first LCD screen 904 is illuminated by the light beam and the image is propagated through the correlator.
  • the image 800 captured by the camera is that of a gun on a conveyor belt.
  • the light beam modulated by the first image on the first LCD screen 904 is then propagated through a second set of lenses 906 , referred to as a Fourier lens since it performs the equivalent of the Fourier transform mathematical operation.
  • the inherent properties of light are used to physically perform the appropriate calculations. Specifically, the propagation of light is a function which corresponds to the kernel of the Fourier transform operation, thus the propagation of light along the axis of a Fourier lens represents a sufficiently strong approximation of this natural phenomenon to assert that the light beam undergoes a Fourier transform. Otherwise stated, a lens has the inherent property of performing a Fourier transform on images observed at its front focal plane, provided that this image is displayed at its back focal plane.
  • the Fourier transform which can normally be rather computation-intensive when calculated by a digital computer, is performed in the optical correlator simply by the propagation of the light.
  • the mathematics behind this optical realization is equivalent to the exact Fourier transform function and can be modeled with standard fast Fourier algorithms.
  • Fourier transforms the reader is invited to consider B. V. K. Vijaya Kumar, Marios Savvides, Krithika Venkataramani,and Chunyan Xie , “Spatial frequency domain image processing for biometric recognition”, Biometrics ICIP Conference 2002 or alternatively J. W. Goodman, Introduction to Fourier Optics, 2nd Edition, McGraw-Hill, 1996. The contents of these documents are incorporated herein by reference.
  • the signal is projected on a second LCD screen 908 on which is displayed the target template, i.e., Fourier transform of the target image.
  • the target template i.e., Fourier transform of the target image.
  • the Fourier transform of the image associated with the receptacle goes through the second LCD screen 908 on which the target template is displayed, the light beam crosses a second Fourier lens 910 which, again, optically computes the equivalent of a Fourier transform multiplication.
  • This operation corresponds to a correlation in the spatial domain.
  • the target image displayed on the second LCD screen 908 in fact induces a phase variation on the incoming light beam. Each pixel can potentially induce a phase change whose magnitude is equivalent to its grey level.
  • the Fourier transform displayed on the first LCD screen 904 is multiplied with the Fourier transform of the target image, which is equivalent to performing a correlation.
  • the second Fourier lens 910 finally concentrates the light beam on a small area camera or CCD 912 where the result of the correlation is measured, so to speak.
  • the CCD (camera) 912 in fact measures energy peaks on the correlation plane. The position of a correlation peak corresponds in fact to the location of the target object center in the image 800 associated with the receptacle.
  • the CCD communicates the signal from the optical correlator to the detection signal generator module 306 .
  • the detection signal generator module 306 is a computing unit including a frame grabber and software.
  • the software is adapted to processing the signal received from the correlator to detect energy peaks as gray level video signals varying between 0 and 255 .
  • a strong intensity peak on the correlation plane indicates a match between the image 800 associated with the receptacle and the target image 804 .
  • the location of the energy peak also indicates the location of the center of the target image in the image 800 associated with the receptacle.
  • the detection signal generator module 306 generates a detection signal.
  • the detection signal may provide, for example, information about the level of the peak(s) and, optionally, the position of the peak(s).
  • the detection signal may also include data allowing identifying the target object for which the level of the peak(s) and, optionally, the position of the peak(s) is being provided.
  • the Fourier transform as applied to images will now be described in general terms.
  • the Fourier transform is a mathematical tool used to convert the information present within an object's image into its frequency representation.
  • an image can be seen as a superposition of various spatial frequencies and the Fourier transform is a mathematical operation used to compute the intensity of each of these frequencies within the original image.
  • the spatial frequencies represent the rate of variation of image intensity in space. Consequently, a smooth or uniform pattern mainly contains low frequencies. Sharply contoured patterns, by contrast, exhibit a higher frequency content.
  • the Fourier transform is a global operator: changing a single frequency of the Fourier transform affects the whole object in the spatial domain.
  • ⁇ and ⁇ represent the pixel coordinates in the correlation plane
  • C( ⁇ , ⁇ ) stands for the correlation
  • x and y identify the pixel coordinates of the input image
  • f(x, y) is the original input image
  • h *( ⁇ , ⁇ ) is the complex conjugate of the correlation filter.
  • the use of optics for computing a correlation operation allows the computation to be performed in a shorter time than by using a digital implementation of the correlation. It turns out that an optical lens properly positioned (i.e. input and output images are located on the lens's focal planes) automatically computes the Fourier transform of the input image.
  • the Fourier transform of a target image can be computed beforehand and submitted to the correlator as a mask or template.
  • the target template (or filter in short) is generated by computing the Fourier transform of the reference template. This type of filter is called a matched filter.
  • FIG. 10 depicts the Fourier transform of the spatial domain image of a ‘ 2 ’. It can be seen that most of the energy (bright areas) is contained in the central portion of the Fourier transform image which correspond to low spatial frequencies (the images are centred on the origin of the Fourier plane). The energy is somewhat more dispersed in the medium frequencies and is concentrated in orientations representative of the shape of the input image. Finally, little energy is contained in the upper frequencies.
  • the right-hand-side image shows the phase content of the Fourier transform. The phase is coded from black (0°) to white ( 360°).
  • Matched filters are specifically adapted to respond to one image in particular: they are optimized to respond to an object with respect to its energy content.
  • the contour of an object corresponds to its high frequency content. This can be easily understood as the contour represent areas where the intensity varies rapidly (hence a high frequency).
  • the matched filter can be divided by its module (the image is normalized), over the whole Fourier transform image.
  • phase only filters Phase - Only Matched Filtering ”, Joseph L. Homer and Peter D. Gianino, Appl. Opt. Vol. 23 no. 6, 15 Mar. 1994, pp. 812-816. The contents of this document are incorporated herein by reference.
  • the discrimination provided by the POF filter has some disadvantages. It turns out that, although the optical correlator is somewhat insensitive to the size of the objects to be recognized, the images are expected to be properly sized, otherwise the features might not be registered properly. To understand this requirement, imagine a filter defined out of a given instance of a ‘2’. If that filter is applied to a second instance of a ‘2’ whose contour is slightly different, the correlation peak will be significantly reduced as a result of the great sensitivity of the filter to the original shape.
  • a different type of filter termed a composite filter, was introduced to overcome these limitations. The reader is invited to refer to the following document for additional information regarding this different type of composite filter: H. J. Caufield and W. T. Maloney, Improved discrimination in optical character recognition, Appl. Opt., 8, 2354, 1969. The contents of this document are incorporated herein by reference.
  • filters can be designed by:
  • composite filters are composed of the response of individual POF filters to the same symbol.
  • a filter generated in this fashion is likely to be more robust to minor signature variations as the irrelevant high frequency features will be averaged out.
  • the net effect is an equalization of the response of the filter to the different instances of a given symbol.
  • Composite filters can also be used to reduce the response of the filter to the other classes of symbols.
  • the coefficient b for example, is set to a negative value, then the filter response to a symbol of class b will be significantly reduced.
  • the correlation peak will be high if h a ( x,y ) is at the input image, and low if h b ( x,y ) is present at the input.
  • OCR Optical character recognition
  • a system for screening people includes components similar to those described in connection with the system depicted in FIG. 1 .
  • the image generation device 102 is configured to scan a person and possibly to scan the person along various axes and/or views to generate multiple images associated to the person.
  • the image or images associated with the person convey information related to the objects carried by the person.
  • FIG. 13 depicts two images associated with a person suitable for use in connection with a specific implementation of the system. Each image is then processed in accordance with the method described in the present specification to detect the presence of prohibited objects on the person.
  • the database of target objects 110 may further include entries associated to non-prohibited objects and/or objects that do not represent a potential threat.
  • Such entries may be used to detect objects commonly carried by people such as cell-phones, watches and rings, for example, which are not prohibited and not threatening.
  • identifying such objects and indicating to the screeners that such objects are not prohibited and/or do not represent a potential and as such can be ignored, unnecessary manual verifications can be avoided.
  • Certain portions of the apparatus 1510 for implementing a user interface can be implemented on a general purpose digital computer 1300 , of the type depicted in FIG. 14 , including a processing unit 1302 and a memory 1304 connected by a communication bus.
  • the memory includes data 1308 and program instructions 1306 .
  • the processing unit 1302 is adapted to process the data 1308 and the program instructions 1306 in order to implement the functional blocks described in the specification and depicted in the drawings.
  • the digital computer 1300 may also comprise an I/O interface 1310 for receiving or sending data elements to external devices.
  • certain portions of the image processing apparatus 106 can also be implemented on a general purpose digital computer having a similar structure as that described in connection with FIG. 14 .
  • Certain portions of the image processing apparatus 106 and of the apparatus 1510 for implementing a user interface may be implemented on a same general purpose digital computer without detracting from the spirit of the invention.
  • the above-described image processing apparatus 106 can be implemented on a dedicated hardware platform where electrical/optical components implement the functional blocks described in the specification and depicted in the drawings. Specific implementations may be realized using ICs, ASICs, DSPs, FPGA, an optical correlator, digital correlator or other suitable hardware platform.
  • image processing apparatus 106 and the apparatus 1510 for implementing a user interface can be implemented as a combination of dedicated hardware and software such as apparatus 1200 of the type depicted in FIG. 15 .
  • an implementation comprises an optical correlator 1208 or other dedicated image processing hardware and a general purpose computing unit 1206 including a CPU 1212 and a memory 1214 connected by a communication bus.
  • the memory includes data 1218 and program instructions 1216 .
  • the CPU 1212 is adapted to process the data 1218 and the program instructions 1216 in order to implement the functional blocks described in the specification and depicted in the drawings.
  • the CPU 1212 is also adapted to exchange data with the optical correlator 1208 over communication link 1210 to make use of the optical correlator's image processing capabilities.
  • the apparatus 1202 may also comprise I/O interfaces 1202 1204 for receiving or sending data elements to external devices.
  • a single optical correlator 1208 can be shared by multiple general purpose computing units 1206 .
  • conventional parallel processing techniques can be used for sharing a common hardware resource.
  • the optical correlator suitable for use in the system described includes two video inputs.
  • the video inputs are suitable for receiving a signal derived from an image generation device and a signal derived from a database of target images.
  • the video inputs are suitable for receiving a signal in an NTSC compatible format or a VGA compatible format. It will be appreciated that either one of the video inputs may be adapted for receiving signals of lower or higher resolution than the VGA compatible format signal.
  • the video input suitable for receiving a signal in an NTSC compatible format may be adapted for receiving signals in suitable formats such as, but not limited to, PAL and SECAM.
  • the optical correlator is adapted to process an image received at the video input having an area of 640 ⁇ 480 pixels.
  • the optical correlator's processing capability is independent of the size of the image, as opposed to digital systems that require more processing time and power as images get larger.
  • the system for screening a receptacle 100 may also be of a distributed nature where the image signals associated with the receptacles are obtained at one location or more locations and transmitted over a network to a server unit implementing the method described above.
  • the server unit may then transmit a signal for causing an output unit to display information to the user.
  • the output unit may be located in the same location where the image signal associated with the receptacle was obtained or in the same location as the server unit or in yet another location.
  • the output unit is part of a centralized receptacle screening facility.
  • FIG. 16 illustrates a network-based client-server system 1300 for system for screening receptacles.
  • the client-server system 1300 includes a plurality of client systems 1302 , 1304 , 1306 and 1308 connected to a server system 1310 through network 1312 .
  • the communication links 1314 between the client systems 1302 , 1304 , 1306 and 1308 and the server system 1310 can be metallic conductors, optical fibres or wireless, without departing from the spirit of the invention.
  • the network 1312 may be any suitable network including but not limited to a global public network such as the Internet, a private network and a wireless network.
  • the server 1310 may be adapted to process and issue signals concurrently using suitable methods known in the computer related arts.
  • the server system 1310 includes a program element 1316 for execution by a CPU.
  • Program element 1316 includes functionality to implement the methods described above, including a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects during security screening of a receptacle, and includes the necessary networking functionality to allow the server system 1310 to communicate with the client systems 1302 , 1304 , 1306 and 1308 over network 1312 .
  • the client systems 1302 , 1304 , 1306 and 1308 include display units responsive to signals received from the server system 1310 for displaying user interface module implementation by the server system 1310 .
  • server system 1310 also includes an optical correlator unit.

Abstract

An apparatus and method for implementing a user interface module for use in screening a receptacle to detect therein the presence of one or more prohibited objects is provided. An image signal associated with the receptacle conveying information related to the receptacle's contents and a detection signal conveying a presence of at least one prohibited object in the receptacle are received. A user interface module is adapted for displaying first information conveying an image associated with the receptacle on the basis of the image signal. The user interface module is also adapted for displaying, simultaneously with the first information, second information conveying the presence of the prohibited object in the receptacle. The second information is derived at least in part on the basis of the detection signal. As a variant, the user interface module is adapted for providing a control allowing a user to cause third information to be displayed. The third information conveys at least one characteristic associated to the prohibited object. Alternative implementations of the user interface module may be made for use in screening a person to detect thereon the presence of one or more prohibited objects.

Description

    CROSS-REFERENCES TO RELATED APPLICATIONS
  • This application is a continuation-in-part application of international PCT patent application serial number PCT/CA2005/000716 filed May 11, 2005 designating the United States.
  • The contents of the above referenced applications are incorporated herein by reference.
  • Field of the Invention
  • The present invention relates generally to security systems and, more particularly, to a user interface for use in screening luggage, mail parcels or cargo containers to identify certain objects located therein or for screening persons to identify certain objects located thereon and to a method and system for implementing such a user interface.
  • BACKGROUND
  • Security in airports, train stations, ports, mail sorting facilities, office buildings and other public or private venues is becoming increasingly important in particular in light of recent violent events.
  • Typically, security-screening systems at airports make use of devices generating penetrating radiation, such as x-ray devices, to scan individual pieces of luggage to generate an image conveying the contents of the luggage. The image is displayed on a screen and is examined by a human operator whose task it is to identify, on the basis of the image, potentially threatening objects located in the luggage.
  • A deficiency with current systems is that they are entirely reliant on the human operator to identify potentially threatening objects. However, the performance of the human operator greatly varies according to such factors as poor training and fatigue. As such, the process of detection and identification of threatening objects is highly susceptible to human error.
  • Another deficiency with current systems is that the labour costs associated with such systems are significant since human operators must view the images.
  • Yet another deficiency is that the images displayed on the x-ray machines provide little, if any, guidance as to what is being observed. It will be appreciated that failure to identify a threatening object, such as a weapon for example, may have serious consequences, such as property damage, injuries and human deaths.
  • Consequently, there is a need in the industry for providing a method and system for use in screening luggage items, mail parcels, cargo containers or persons to identify certain objects that alleviate at least in part the deficiencies of the prior art.
  • SUMMARY OF THE INVENTION
  • In accordance with a broad aspect, the invention provides a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening. The method comprises receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle. The method also includes displaying first information conveying an image associated with the receptacle on the basis of the image signal. The method also includes displaying second information conveying a presence of at least one prohibited object in the receptacle, the second information being displayed simultaneously with the first information. The method also includes providing a control allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the at least one prohibited object.
  • In accordance with a specific implementation, the first information and second information are displayed in a first viewing window and the third information is displayed in a second viewing window. Optionally, the control is adapted for causing the second viewing window to be displayed to a user.
  • In accordance with a specific implementation, the control allows the user to cause the third information to be displayed by using any suitable input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen. In addition, the control may be embodied in any suitable form including, for example, a selection box.
  • In accordance with a specific implementation, the graphical user interface module displays a prohibited object list, the prohibited object list including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected. Optionally, at least one entry in the prohibited object list conveys a level of confidence associated to detection of the corresponding prohibited object in the receptacle. The graphical user interface module is adapted for enabling a user to select an entry from the plurality of entries in the prohibited object list and to display information associated with the entry selected by the user. The type of information displayed associated with the entry selected can vary from one implementation to the other depending on the specific application. Examples of the type of information that can be displayed include an image of the selected prohibited object detected and a risk levels associated to the prohibited object detected.
  • In accordance with a specific implementation, the second information conveys the presence of at least one prohibited object in the receptacle in either textual format or graphical format. Optionally, the second information conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
  • In accordance with a specific implementation, the method comprises receiving a detection signal conveying the presence of at least one prohibited object in the receptacle and processing the detection signal to derive the second information. The detection signal may convey a plurality of information items. For example, the detection signal may provide information allowing to identify the type of prohibited object detected, the level of confidence associated to the detection process and the position of the prohibited object in the receptacle amongst others. In the specific example where the detection signal provides information associated level of confidence associated to the detection process, the graphical user interface module may be operative for processing the data element indicative of the level of confidence in combination with a detection sensitivity level. When the level of confidence associated to the presence a prohibited object in the receptacle is below the detection sensitivity level, the second information may be omitted from the user interface module. Optionally, the user interface provides a control allowing a user to modify the detection sensitivity level.
  • For the purpose of this specification, the expression “receptacle” is used to broadly describe an entity adapted for receiving objects therein such as, for example, a luggage item, a cargo container or a mail parcel.
  • For the purpose of this specification, the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.
  • In accordance with another broad aspect, the invention provides and apparatus suitable for implementing a user interface for use in screening a receptacle to detect the presence of one or more prohibited objects in accordance with the above described method.
  • In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for displaying information associated to the content of a receptacle in accordance with the above described method.
  • In accordance with another broad aspect, the invention provides an apparatus for implementing a user interface module for use in screening receptacles to detect the presence of one or more prohibited objects. The apparatus comprises means for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle. The apparatus also comprises means for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle. The apparatus also comprises means for implementing the user interface module. The user interface module is adapted for displaying first information conveying an image associated with the receptacle on the basis of the image signal. The user interface module is also adapted for displaying second information conveying a presence of at least one prohibited object in the receptacle, the second information being displayed simultaneously with the first information and being derived at least in part on the basis of the detection signal. The user interface module is also adapted for providing a control allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the at least one prohibited object. The apparatus also comprises means for releasing a signal adapted to cause a display module to display the user interface module.
  • In accordance with yet another broad aspect, the invention provides a system for detecting the presence of one or more prohibited objects in a receptacle. The system includes an input, an optical correlator and an apparatus for implementing a user interface module. The input is for receiving data conveying graphic information regarding the contents of the receptacle. The optical correlator is in communication with the input and is operative for processing the graphic information to detect a depiction of the one or more prohibited objects in the receptacle. The apparatus implementing the user interface module is in communication with the input and with the optical correlator. The user interface module implemented by the apparatus is operative for displaying first information conveying an image associated with the receptacle on the basis of the data conveying graphic information regarding the contents of the receptacle. The user interface module is also adapted for displaying second information conveying a presence of one or more prohibited objects in the receptacle, the second information being displayed simultaneously with the first information. The user interface module is also operative for releasing a signal adapted to cause a display module to display the user interface module.
  • In accordance with another broad aspect, the invention provides a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening. The method comprises receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle and displaying first information conveying an image associated with the receptacle on the basis of the image signal. The method also comprises receiving a detection signal conveying a presence of at least one prohibited object in the receptacle and displaying second information conveying a presence of at least one prohibited object in the receptacle. The second information is displayed simultaneously with the first information and is derived at least in part on the basis of the detection signal.
  • In accordance with another broad aspect, the invention provides an apparatus suitable for implementing a user interface for use in screening a receptacle to detect the presence of one or more prohibited objects in accordance with the above described method.
  • In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for displaying information associated to the content of a receptacle in accordance with the above described method.
  • In accordance with yet another broad aspect, the invention provides an apparatus for implementing a user interface module for use in screening a person to detect the presence of one or more prohibited objects. The apparatus comprising a first input for receiving an image signal associated with the person and a second input for receiving a detection signal conveying a presence of at least one prohibited object on the person. The apparatus also includes a processing unit operative for implementing the user interface module. The user interface module is adapted for displaying first information conveying an image associated with the person on the basis of the image signal and displaying second information conveying a presence of at least one prohibited object on the person. The second information is displayed simultaneously with the first information and is derived at least in part on the basis of the detection signal. The apparatus also includes an output for releasing a signal adapted to cause a display module to display said user interface module.
  • Other aspects and features of the present invention will become apparent to those ordinarily skilled in the art upon review of the following description of specific embodiments of the invention in conjunction with the accompanying Figures.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • A detailed description of the embodiments of the present invention is provided herein below, by way of example only, with reference to the accompanying drawings, in which:
  • FIG. 1 is a high-level block diagram of a system for screening a receptacle to detect therein the presence of one or more prohibited objects in accordance with a specific example of implementation of the present invention;
  • FIG. 2 is a block diagram of an output module suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention;
  • FIG. 3 is a block diagram of an apparatus suitable for implementing a user interface for use in screening a receptacle in accordance with a specific example of implementation of the present invention;
  • FIG. 4 shows a flow diagram depicting a process for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening;
  • FIG. 5 a and 5 b depict viewing windows of a user interface module displayed by the output module of FIG. 2 in accordance with a specific example of implementation of the present invention;
  • FIG. 5 c depicts a viewing window of a user interface module displayed by the output module of FIG. 2 in accordance with an alternative specific example of implementation of the present invention;
  • FIG. 5 d depicts a control window of a user interface module displayed by the apparatus of FIG. 3 allowing a user to select screening options in accordance with a specific example of implementation of the present invention;
  • FIG. 6 is a block diagram of an apparatus for processing images suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention;
  • FIG. 7 is a flow diagram depicting a process for detecting a presence of at least one target object in the receptacle in accordance with specific examples of implementation of the present invention;
  • FIG. 8 shows three images associated to a target object suitable for use in connection with the system depicted in FIG. 1, each image depicting the target object in a different orientation, in accordance with a specific example of implementation of the present invention;
  • FIG. 9 shows a mosaic image including a plurality of sub-images associated with a target object suitable for use in connection with the system depicted in FIG. 1, each sub-image depicting the target object in a different orientation and scale, in accordance with a specific example of implementation of the present invention;
  • FIG. 10 is a functional block diagram a luggage screening system including an optical correlator in accordance with a specific example of implementation of the present invention;
  • FIG. 11 is a block diagram depicting the functioning of an optical correlator in accordance with a specific example of implementation of the present invention;
  • FIG. 12 depicts a Fourier transform, amplitude and phase, of the spatial domain image for number 2;
  • FIG. 13 shows two images associated to a person suitable for use in a system for screening a person to detect the presence of one or more prohibited objects in accordance with a specific example of implementation of the present invention;
  • FIG. 14 is a block diagram of an apparatus suitable for implementing a user interface for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in a receptacle during security screening in accordance with a specific example of implementation of the present invention;
  • FIG. 15 is a block diagram of an alternative implementation of an apparatus suitable for for use in detecting the presence of one or more prohibited objects in a receptacle during security screening in accordance with a specific example of implementation of the present invention;
  • FIG. 16 shows a functional block diagram of a client-server system suitable for use in screening a receptacle to detect therein the presence of one or more prohibited objects in accordance with an alternative specific example of implementation of the present invention.
  • In the drawings, the embodiments of the invention are illustrated by way of examples. It is to be expressly understood that the description and drawings are only for the purpose of illustration and are an aid for understanding. They are not intended to be a definition of the limits of the invention.
  • DETAILED DESCRIPTION
  • Shown in FIG. 1 is a system 100 for screening a receptacle in accordance with a specific example of implementation of the present invention. It is to be understood that the expression “receptacle”, as used for the purposes of the present description, is used to broadly describe an entity adapted for receiving objects therein such as, for example, a luggage item, a cargo container or a mail parcel. In addition, the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.
  • As depicted, the system 100 includes an image generation device 102; an apparatus 106 in communication with the image generation device 102 and an output module 108.
  • The image generation device 102 generates an image signal associated with a receptacle 104. The image signal conveys information related to the contents of the receptacle 104. The apparatus 106 receives the image signal associated with the receptacle 104 and processes that image signal in combination with a plurality of target images associated with target objects to detect a presence of at least one target object in the receptacle 104. In a specific implementation, the plurality of target images is stored in a database of target images 110. In response to detection of the presence of at least one target object in the receptacle 104, the apparatus 106 generates a detection signal conveying the presence of the target object in the receptacle 104. Examples of the manner in which the detection signal can be derived are described later on in the specification. The output module 108 conveys to a user information derived at least in part on the basis of the detection signal to a user of the system.
  • Advantageously, the system 100 provides assistance to the human security personnel using the system in detecting certain target objects, including prohibited objects, and decreases the susceptibility of the screening process to human error.
  • Image Generation Device 102
  • In a specific example of implementation, the image generation device 102 uses penetrating radiation or emitted radiation to generate the image associated with the receptacle 104. Specific examples of such devices include, without being limited to, x-ray, gamma ray, computed tomography (CT scans), thermal imaging, TeraHertz and millimeter wave devices. Such devices are known in the art and as such will not be described further here. In a non-limiting example of implementation, the image generation device 102 is a conventional x-ray machine adapted for generating an x-ray image of the receptacle 104.
  • The image signal generated by the image generation device 102 and associated with the receptacle 104 may be conveyed as a two-dimensional (2-D) image or as a three-dimensional (3-D) image and may be in any suitable format. Possible formats include, without being limited to, JPEG, GIF, TIFF and bitmap amongst others. Preferably, the image signal is in a format that can be displayed on a display screen.
  • Database of Target Images 110
  • In a specific example of implementation, the database of target images 110 includes a plurality of entries associated to respective target objects that the system 100 is designed to detect.
  • In a non-limiting implementation, for each entry associated to a target object at least one image (hereinafter referred to as a “target image”) is provided in the database of target images 110. The format of the target images will depend upon the image processing algorithm implemented by the apparatus 106. More specifically, the format of the target images is such that a comparison operation can be performed by the apparatus 106 between the target images and data derived from the image signal associated with the receptacle 104.
  • Optionally, for each entry associated to a target object, a set of images is provided in the database of target images 1 10. For example, images depicting the target object in various orientations may be provided. FIG. 6 of the drawings depicts an example of arbitrary 3D orientations of a target object.
  • Optionally still, for each entry associated to a target object, characteristics of the target object are provided. Such characteristics may include, without being limited to, the name of the target object, its associated threat level, the recommended handling procedure when such a target object is detected and any other suitable information. In a specific implementation, the threat level information associated to the target object convey the relative threat level of a prohibited object compared to other prohibited objects in the database of target images 110. For example, a gun would be given a relatively high threat level while a metallic nail file would be given a relatively low level threat level and a pocket knife would be given a threat level between that of the nail file and the gun. Optionally still, each entry in the database of target images 110 is also associated to a respective target object identifier data element. In a non-limiting example of implementation, the database of target images 110 includes at least one entry associated to a prohibited object, such as a weapon. In the case of luggage screening (in an airport facility for example) the prohibited object typically constitutes a potential threat to the safety of the passenger or aircraft.
  • In the case of mail parcel screening, the prohibited object is typically an object that is normally not permitted to be sent through the mail, such as guns (in Canada) for example, due to registration requirements/permits and so on.
  • In a non-limiting example of implementation, the database of target images 110 includes one or more entries associated to objects which are not prohibited but which may represent potential threats. For example, the presence of a metal plate or a metal canister in a piece of luggage going through luggage security screening is not prohibited in itself. However such objects may conceal one or more dangerous objects. As such, it is desirable to be able to detect the presence of such objects in receptacle such as to bring them to the attention of the security screeners.
  • The specific design and content of the database of target images 110 may vary from one implementation to the next without detracting from the spirit of the invention. The design of the database is not critical to the present invention and as such will not be described further here.
  • Although the database of target images 110 has been shown in FIG. 1 to be a component separate from the apparatus 106, it will be appreciated that in certain embodiments the database of target images 110 may be part of apparatus 106 and that such implementations do not detract from the spirit of the invention. In addition, it will also be appreciated that in certain implementations, the database of target images 110 is shared between multiple apparatuses 106.
  • Output Module 108
  • In a specific example of implementation, the output module 108 conveys to a user of the system information derived at least in part on the basis of the detection signal.
  • A specific example of implementation of the output module 108 is shown in FIG. 2 of the drawings. As depicted, the output module includes an output device 202 and an output controller unit 200.
  • The output device 202 may be any device suitable for conveying information to a user of the system 100 regarding the presence of a prohibited object in the receptacle 104. The information may be conveyed in visual format, audio format or as a combination of visual and audio formats. In a first specific example of implementation, the output device 202 is in communication with the output module 200 and includes a display unit adapted for displaying in visual format information related to the presence of a prohibited object in the receptacle 104 on the basis of a signal received from the output module 200. In a second specific example of implementation, the output device 202 includes a printer adapted for displaying in printed format information related to the presence of a prohibited object in the receptacle 104. In a third specific example of implementation, the output device 202 includes an audio output unit adapted for releasing an audio signal conveying information related to the presence of a prohibited object in the receptacle 104. In a fourth specific example of implementation, the output device 202 includes a set of visual elements, such as lights or other suitable visual elements, adapted for conveying in visual format information related to the presence of a prohibited object in the receptacle 104. The person skilled in the art will readily appreciate, in light of the present specification, that other suitable types of output devices may be used here without detracting from the spirit of the invention.
  • The output controller unit 200 receives the detection signal conveying the presence of the at least one prohibited object in the receptacle 104 from apparatus 106 (shown in FIG. 1). In a specific implementation, the detection signal conveys position information related to a certain prohibited object detected in the receptacle 104 and information allowing for the identification of the prohibited object. Optionally, the detection signal also conveys a prohibited object identifier data element. The prohibited object identifier data element is associated to an entry in the database of target images 110.
  • In a first specific example of implementation, the output controller unit 200 includes an apparatus 1510 of the type depicted in FIG. 3 implementing a user interface module. In such an implementation, the output controller unit 200 is adapted for communicating with an output device 202 including a display screen for causing the latter to display the user interface module generated by the apparatus 1510.
  • The apparatus 1510 implements a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening. A specific example of a method implemented by the apparatus 1510 will now be described with reference to FIG. 4. At step 1700, an image signal associated with a receptacle is received, the image signal conveying information related to the contents of the receptacle. At step 1702, first information conveying an image associated with the receptacle on the basis of the image signal is caused to be displayed. At step 1704, second information is displayed, the second information conveying a presence of at least one prohibited object in the receptacle. The second information is displayed simultaneously with the first information. The second information is derived from a detection received from the image processing apparatus 106 and conveying the presence of at least one prohibited object in the receptacle. Optionally, at step 1706, a control is provided for allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the prohibited object whose presence in the receptacle was detected.
  • The apparatus 1510 includes a first input 1512, a second input 1502, a third input 1504, a user input 1550, a processing unit 1506 and an output 1508.
  • The first input 1512 is for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle. In a specific implementation, the image signal is derived from a signal generated by the image generation device 102 (shown in FIG. 1).
  • The second input 1502 is for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle. In a specific implementation, the detection signal is provided by the image processing apparatus 106. The type of information received at the second input 1502 depends on the specific implementation of the image processing apparatus 106 and may vary from one implementation to the next without detracting from the spirit of the invention. Examples of the type of information that may be received include information on the position of the prohibited object detected, information about the level of confidence of the detection and data allowing identifying the prohibited object detected.
  • The third input 1504 is for receiving information associated to the one or more prohibited objects detected in the receptacle from the database of target images 110. The type of information received at the third input 1504 depends on the content of the database of target images 110 and may vary from one implementation to the next. Examples of the type of information that may be received include images depicting the target object and characteristics of the target object. Such characteristics may include, without being limited to, the name of the target object, dimensions of the target object, its associated threat level, the recommended handling procedure when such a target object is detected and any other suitable information.
  • The user input 1550 is for receiving signals from a user input device, the signals conveying commands for controlling the information displayed by the user interface module or for annotating the information displayed. Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.
  • The processing unit 1506 is in communication with the first input 1512, the second input 1502, the third input 1504 and the user input 1550 and implements a user interface module for displaying information for use in screening receptacles to detect the presence of one or more prohibited objects.
  • The output 1508 is for releasing a signal for causing the output device 202 (shown in FIG. 2) to display the graphical user interface module implemented by processing unit 1506. A graphical user interface module implemented by apparatus 1510 in accordance with a specific example of implementation is described in greater detail herein below with reference to figures 5 a, 5 b, 5 c and 5 d.
  • With reference to FIG. 5 a, there is shown a display generated by a graphical user interface module in accordance with a non-limiting implementation on the invention.
  • As depicted, the user interface module displays first information 1604 conveying an image associated with a receptacle on the basis of the image signal received at input 1512 (shown in FIG. 3). The image associated with the receptacle may be in any suitable format and will depend on the format of the image signal received at input 1512. For example, the image may be of type x-ray, gamma-ray, computed tomography (CT scans), TeraHertz, millimeter wave or emitted radiation amongst others.
  • The user interface module also displays second information 1606 conveying a presence of one or more prohibited objects in the receptacle on the basis of the detection signal received at input 1502 (shown in FIG. 3). The second information 1606 is derived at least in part on the basis of the detection signal received at second input 1502. Preferably, the second information 1606 is displayed simultaneously with the first information 1604. In a specific example, the second information 1606 conveys position information related to one or more prohibited objects whose presence in the receptacle was detected. The second information may convey the presence of one or more prohibited object in the receptacle in textual format in graphical format or as a combination of graphical information and textual information. In textual format, the second information may appear in a dialog box with a message of the form “A ### prohibited object name ### has been detected.” In the specific implementation depicted in FIG. 5 a, the second information 1606 includes visual graphic indicators in the form of circles positioned such as to identify the location of the one or more prohibited objects in the image associated with the receptacle. The location of the circles is derived on the basis of the content of the detection signal received at input 1502 (shown in FIG. 3). It will be readily apparent that visual indicators of any suitable shape (e.g. square, arrows, etc . . . ) may be used to identify the location of the one or more prohibited objects in the image associated with the receptacle and that the examples depicted in the figures have been presented for the purpose of illustration only. Moreover, functionality may be provided to the user to allow the latter to modify the appearance, such as size, shape and/or color, of the visual indicators used to identify the location of the one or more prohibited objects in the image associated with the receptacle. The manner in which such a functionality would be provided is not critical to the present invention and as such will not be described further here.
  • The user interface module also provides a control 1608 allowing a user to cause third information to be displayed, the third information conveying at least one characteristic associated to the one or more prohibited objects. In a specific implementation, the control 1608 allows the user to cause the third information to be displayed by using an input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen. In the example depicted, the control 1608 is in the form of a selection box including an actuation button that can be selectively actuated by a user. In an alternative embodiment, the control 1608 is provided as a physical button (or key) on a keyboard or other input device that can be selectively actuated by a user. In such an implementation, the physical button (or key) is in communication with the apparatus 1510 (shown in FIG. 3) through user input 1550.
  • In a specific example of implementation, the first information 1604 and the second information 1606 are displayed in a first viewing window 1602 and the third information is displayed in a second viewing window 1630 of the type depicted in figure 5 b. The first and second viewing windows 1602 and 1630 may be displayed concurrently on same display screen, concurrently on separate display screens or separately such that when the second viewing window 1630 is displayed the first viewing window 1602 is partially or fully concealed. In a specific implementation, the control 1608 allows a user to cause the second viewing window displaying third information to be displayed. FIG. 5 c of the drawings depicts an alternative embodiment of a user interface module where the first and second viewing windows 1602 and 1630 are displayed concurrently.
  • With reference to FIG. 5 b, there is shown a second viewing window 1630 for displaying third information conveying at least one characteristic associated to the one or more prohibited objects detected in the receptacle. The type of data conveyed by the third information will vary from one implementation to another.
  • In the specific example depicted in FIG. 5 b, the third information conveys an image 1632 and object characteristics 1638 including a description, a risk level and a level of confidence for the detection, each of the above being associated with one of the prohibited objects that was detected. Other types of information that may be conveyed include, without being limited to: handling procedure when such a prohibited object is detected, dimensions of the prohibited object or any other characteristics of the prohibited object that could assist the user in validating the information provided, confirm its presence, or facilitate its handling. The third information may be conveyed in textual formal or graphical format. For example, the third information may include information related to the level of confidence for the detection using a color schema. A non-limiting example of a color scheme that may be used in the following:
      • Red: threat positively detected.
      • Yellow: possible threat detected.
      • Green: No threat detected.
  • In yet another example, the third information may include information related to the level of confidence for the detection using a shape schema. The use of a shape based scheme to show information related to the level of threat is particularly useful for individuals who are color blind or for use with monochromatic display screens. A non-limiting example of a shape scheme that may be used in the following:
      • Diamond: threat positively detected.
      • Triangle: possible threat detected.
      • Square: No threat detected.
  • In a specific example of implementation, the processing unit 1506 is adapted to transmit a query signal to the database of prohibited objects 110 (shown in FIG. 1), on the basis of information received through input 1502 in the detection signal, in order to obtain certain information elements associated to a detected prohibited object, for example an image, a description, a risk level and a handling procedure amongst others. In response to the query signal, the database of prohibited objects 110 (shown in FIG. 1) transmits the requested information with the processing unit 1506 through input 1504. Alternatively, a signal conveying information associated with one of the prohibited objects that was detected can automatically provided to the apparatus 1510 without requiring a query.
  • In the specific example of implementation depicted in figure 5 b, the graphical user interface module displays a prohibited object list 1634 including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected. In the example depicted, the prohibited object list 1634 is displayed in the second viewing window 1630 however it will be readily apparent that such a list may alternatively be displayed in the first viewing window 1602 or in yet another viewing window distinct from the first viewing window 1602 and the second viewing window 1630 without detracting from the spirit of the invention. Alternatively still, the prohibited object list 1634 may be displayed in the first viewing window 1602 and may perform the functionality of the control 1608. More specifically, in this alternative implementation, the control 1608 (shown in FIG. 5 a) is embodied in the form of a list of prohibited objects including entries associated to prohibited objects detected in the receptacle. The user is enabled to select one or more entries from the list of detected prohibited objects. In response to the user's selection, third information conveying at least one characteristic associated to the one or more selected prohibited objects is caused to be displayed by the user interface.
  • Optionally, each entry in the list of entries 1634 includes information conveying a level of confidence associated to the presence of the corresponding prohibited object in the receptacle. The information conveying a level of confidence is extracted from the detection signal received at input 1502. In a specific example of implementation, the graphical user interface module is operative for processing a data element indicative of the level of confidence received in the detection signal in combination with a detection sensitivity level. When the level of confidence associated to the presence of a prohibited object in the receptacle conveyed by the data element in the detection signal is below the detection sensitivity level, the second information associated with the prohibited object is omitted from the user interface module. In addition, the prohibited object is not listed in the list of entries 1634. As such, only information associated to prohibited objects for which detection levels of confidence exceeds the detection sensitivity level is provided by the user interface.
  • Optionally, each entry in the list of entries 1634 includes information conveying a threat level (not shown in the figures) associated to the corresponding prohibited object in the receptacle. The information conveying a threat level is extracted from the signal received from the database of target images 110 received at third input 1504. The threat level information associated to the prohibited object may convey the relative threat level of a prohibited object compared to other prohibited objects in the database of target images 110. For example, a gun would be given a relatively high threat level while a metallic nail file would be given a relatively low threat level and perhaps a pocket knife would be given a threat level between that of the nail file and the gun.
  • Optionally still, functionality is provided to the user for allowing the latter to sort the entries in the list of entries 1634 on the basis of one or more selection criteria. Such criteria may include, without being limited to, the detection levels of confidence and/or the threat level. In a specific example, such functionality may be enabled by displaying a control (not shown on the figures) on the user interface in the form of a pull-down menu providing a user with a set of sorting criteria and allowing the user to select the criteria via a user input device. In response to the user selection, the entries in the list of entries 1634 are sorting on the basis of the criteria selected by the user. Other manners for providing such functionality will become readily apparent to the person skilled in the art in light of the present description and as such will not be described further here.
  • Optionally still, functionality is provided to the user for allowing the latter to add and/or remove one or more entries in the list of entries 1634. Removing an entry may be desirable for example when the screening personnel observes the detection results and decides that the detection was erroneous or, alternatively, that the object detected is not particularly problematic. Adding an entry may be desirable for example when the screening personnel observes the presence of a prohibited object on the image displayed which was not detected. As a variant, when an entry from the list of entries 1634 is removed/added, the user is prompted to enter information conveying a reason why the entry was removed/added from/to the list of entries. The information may be entered using any suitable user input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.
  • The graphical user interface module enables a user to select one or more entries from the plurality of entries in the prohibited object list 1634 for which third information is to be displayed in the second viewing window 1630. In a specific implementation, the user can select one or more entries entry from the prohibited object list 1634 by using an input device such as, for example, a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen. The user selection is received at user input 1550. In response to receiving a signal conveying the user selection at user input 1550, information associated with the one or more entries selected in the prohibited object list 1634 is displayed in the second viewing window 1630.
  • Optionally, in addition to the control 1608, the user interface module is adapted for displaying a second control (not shown in the figures) for allowing a user to cause the second information to be removed from the user interface module.
  • Optionally still, in addition to the control 1608, the user interface module is adapted for displaying additional controls 1636 for allowing a user to modify the configuration of the user interface. In accordance with a specific implementation, the user interface module displays a control window of the type depicted in FIG. 5 d, in response to actuation of control button 1680, allowing a user to select screening options. In the specific example depicted, the user is enabled to select between the following screening options:
      • Generate a report data 1652: this option allows a report to be generated detailing information associated to the screening of the receptacle. In the example depicted, this is done by providing a control in the form of a button that can be toggled between an “ON” state and an “OFF” state. It will be readily apparent that other suitable forms of controls may also be used without detracting from the spirit of the invention. The information generated in the report may include, without being limited to, time of the screening, identification of the security personnel operating the screening system, identification of the receptacle and/or receptacle owner (e.g. passport number in the case of a customs screening), locations information, identification of the prohibited object detected and description of the handling that took place and the results of the handling amongst others. Advantageously, this report allows a tracking of the screening operation.
      • Highlight prohibited object 1664: this option allows a user to cause the second information to be removed from or displayed on the user interface module. In the example depicted, this is done by provided a control in the form of a button that can be toggled between an “ON” state and an “OFF” state. It will be readily apparent that other suitable forms of controls may also be used without detracting from the spirit of the invention.
      • Display warning window 1666: this option allows a user to cause a visual indicator in the form of a warning window to be removed from or displayed on the user interface module when a prohibited object is detected in a receptacle.
      • Set threshold sensitivity/confidence level 1660: this option allows a user to modify the detection sensitivity level of the screening system. In specific implementations, this may be done by providing a control in the form of a text box, sliding ruler (as shown in the figure), selection menu or other suitable type of control allowing the user to select between a range of detection sensitivity levels. It will be readily apparent that other suitable forms of controls may also be used without detracting from the spirit of the invention.
  • It will be readily appreciated by the person skilled in the art in light of the present description that other options may be provided to the user and that certain options may be omitted from certain implementations without detracting from the spirit of the invention. As a variant, certain options may be selectively provided to certain users or, alternatively, may require a password to be modified. For example, the setting threshold sensitivity/confidence level 1660 may only be made available to user having certain privileges (examples screening supervisors or security directors). As such, the user interface module may include some type of user identification functionality, such as a login process, to identify the user of the screening system. Alternatively, the user interface module, upon selection by the user of the setting threshold sensitivity/confidence level 1660 option, may prompt the user to enter a password for allowing the user to modify the detection sensitivity level of the screening system.
  • Optionally still, the user interface module is adapted to allow the user to add complementary information to the information being displayed on the user interface. In a specific example of implementation, the user is enabled to insert markings in the form of text and/or visual indicators in the image displayed on the user interface. The markings may be used, for example, to emphasize certain portions of the receptacle. The marked-up image may then be transmitted to a third party location, such as a checking station, so that the checking station is alerted to verify the marked portion of the receptacle to locate a prohibited object. In such an implementation, the user input 1550 receives signals from a user input device, the signals conveying commands for marking the image displayed in the user interface. Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen. The specific manner in which the functionality for marking the image is provided is not critical to the present invention and as such will not be described further here.
  • Optionally still, the user interface module is adapted to store a history of the image signals received at first input 1512 conveying information related to the contents of previously screened receptacles. The image signals may be stored in association with the corresponding detection signals received at input 1502 and any corresponding user input received at input 1550. The history of prior images may be accessed through a suitable control (not shown in the figures) provided on the user interface. The control may be actuated to cause a list for prior images to be displayed to the user. The user may then be enabled to select one or more entries in the list of prior images. In specific examples of implementation, the selection may be effected on the basis of the images themselves or by allowing the user to specify either a time or time period associated to the images in the history of prior images. In response to a user selection, the one or more images from the history of prior images may then be displayed to the user along with information regarding the prohibited objects detected in those images. When multiple images are selected, the selected images may be displayed concurrently with another or may be displayed separately.
  • Optionally still, the user interface module is adapted to assign a classification to the receptacle depending upon the detection signal received at second input 1502 and optionally on the basis of information associated with the prohibited objects conveyed by the detection signal. The classification criteria may vary from one implementation to the other and may be further conditioned on the basis of external factors such as national security levels. The classification may be a two level classification, such as an “ACCEPTED/REJECTED” type of classification or alternatively may be a multi-level classification. An example of a multi-level classification is a three level classification where the receptacles are classified as “LOW/MEDIUM/ HIGH RISK”. The classifications may then be associated to respective handling procedures. For example, receptacles classified as “REJECT” may be automatically assigned to be manually inspected while receptacles classified as “ACCEPTED” may proceed without such an inspection. In a specific example of implementation, each class is associated to a set of criteria. Examples of criteria may include, without being limited to: a threshold confidence level associated to the detection process, the level of risk associated with the prohibited object detection and whether a prohibited object was detected. It will be readily apparent to the person skilled in the art in light of the specification that other criteria may be used without detracting from the spirit of the invention.
  • The apparatus 200 for implementing a user interface then releases a signal for causing the output device 202, in the form of a display, to convey the user interface to a user of the system.
  • In a second specific example of implementation, the output controller unit 200 is adapted to cause an audio unit to convey information related to the certain target object in the receptacle 104. In a specific non-limiting example of implementation, the output controller unit 200 generates audio data conveying the presence of the certain target object in the receptacle 104, the location of the certain target object in the receptacle 104 and the characteristics of the target object.
  • Apparatus 106
  • The apparatus 106 will now be described in greater detail with reference to FIG. 6. As depicted, the apparatus 106 includes a first input 310, a second input 314, an output 312 and a processing unit, generally comprising a pre-processing module 300, an image comparison module 302 and a detection signal generator module 306.
  • The first input 310 is for receiving an image signal associated with a receptacle from the image generation device 102 (shown in FIG. 1).
  • The second input 314 is for receiving target images from the database of target images 110. It will be appreciated that in embodiments where the database of target images 110 is part of apparatus 106, the second input 314 may be omitted.
  • The output 312 is for releasing a detection signal conveying the presence of a target object in the receptacle 104 for transmittal to output module 108.
  • The processing unit of the apparatus 106 receives the image signal associated with the receptacle 104 from the first input 310 and processes that image signal in combination with a plurality of target images associated with target objects received at input 314 to detect a presence of a target object in the receptacle 104. In response to detection of the presence of at least one target object in the receptacle 104, the processing unit of the apparatus 106 generates and releases at output 312 a detection signal conveying the presence of the target object in the receptacle 104.
  • The process implemented by the various functional elements of the processing unit of the apparatus 106 is depicted in FIG. 7 of the drawings. At step 500, the pre-processing module 300 receives an image signal associated with the receptacle 104 is received via the first input 310. At step 501, the pre-processing module 300 processes the image signal in order to enhance the image, remove extraneous information therefrom and remove noise artefacts in order to obtain more accurate comparison results. The complexity of the requisite level of pre-processing and the related tradeoffs between speed and accuracy depend on the application. Examples of pre-processing may include, without being limited to, brightness and contrast manipulation, histogram modification, noise removal and filtering amongst others. It will be appreciated that all or part of the functionality of the pre-processing module 300 may actually be external to the apparatus 106, e.g., it may be integrated as part of the image generation device 102 or as an external component. It will also be appreciated that the pre-processing module 300 (and hence step 501 ) may be omitted in certain embodiments of the present invention without detracting from the spirit of the invention. As part of step 501, the pre-processing module 300 releases a modified image signal for processing by the image comparison module 302.
  • At step 502, the image comparison module 302 verifies whether there remain any unprocessed target images in the database of target images 110. In the affirmative, the image comparison module 302 proceeds to step 503 where the next target image is accessed and the image comparison module 302 then proceeds to step 504. If at step 502 all target images in the database of target images 110 have been processed, the image comparison module 302 proceeds to step 508 and the process is completed.
  • At step 504, the image comparison module 302 compares the image signal associated with the receptacle 104 against the target image accessed at step 503 to determine whether a match exists. The comparison may be effected using any image processing algorithm suitable for comparing two images. Examples of algorithms that can be used to perform image processing and comparison include without being limited to:
  • A—Image Enhancement
      • Brightness and contrast manipulation
      • Histogram modification
      • Noise removal
      • Filtering
  • B—Image Segmentation
      • Thresholding
        • Binary or multilevel
        • Hysteresis based
        • Statistics/histogram analysis
      • Clustering
      • Region growing
      • Splitting and merging
      • Texture analysis
      • Watershed
      • Blob labeling
  • C—General Detection
      • Template matching
      • Matched filtering
      • Image registration
      • Image correlation
      • Hough transform
  • D—Edge Detection
      • Gradient
      • Laplacian
  • E—Morphological Image Processing
      • Binary
      • Grayscale
  • F—Frequency Analysis
      • Fourier Transform
      • Wavelets
  • G—Shape Analysis and Representations
      • Geometric attributes (e.g. perimeter, area, euler number, compactness)
      • Spatial moments (invariance)
      • Fourier descriptors
      • B-splines
      • Chain codes
      • Polygons
      • Quad tree decomposition
  • H—Feature Representation and Classification
      • Bayesian classifier
      • Principal component analysis
      • Binary tree
      • Graphs
      • Neural networks
      • Genetic algorithms
      • Markov random fields
  • The above algorithms are well known in the field of image processing and as such will not be described further here.
  • In a specific example of implementation, the image comparison module 302 includes an edge detector to perform part of the comparison at step 504. In another specific example of implementation, the comparison performed at step 504 includes effecting a correlation operation between data derived from the image signal and the target images in the database 110. In a specific example of implementation, the correlation operation is performed by an optical correlator. A specific example of implementation of an optical correlator suitable for use in comparing two images will be described later on in the specification. In an alternative example of implementation, the correlation operation is performed by a digital correlator.
  • The image comparison module 302 then proceeds to step 506 where the result of the comparison effected at step 504 is processed to determine whether a match exists between the image signal associated with the receptacle 104 and the target image. In the absence of a match, the image comparison module 302 returns to step 502. In response to detection of a match, the image comparison module 302 triggers the detection signal generation module 306 to execute step 510. Then, the image comparison module 302 returns to step 502 to continue processing with respect to the next target image.
  • At step 510, the detection signal generation module 306 generates a detection signal conveying the presence of the target object in the receptacle 104, and the detection signal is released at output 312. The detection signal may simply convey the fact that a target object has been detected as present in the receptacle 104, without necessarily specifying the identity of the target object. Alternatively, the detection signal may convey the actual identity of the detected target object detected as being present in the receptacle 104. As previously indicated, the detection signal may include information related to the positioning of the target object within the receptacle 104 and optionally a target object identifier data element associated to the target object determined to be a potential match.
  • Specific Example of Image Comparison Module 302 Including an Optical Correlator
  • As mentioned above, in a specific implementation of the image comparison module 302, step 504, which involves a comparison between the image signal associated with the receptacle 104 and the target images from the database of target images 110, is performed using a correlation operation. The correlation operation multiplies together the Fourier transform of the image signal associated with the receptacle 104 with the Fourier transform complex conjugate of a target image. The result of the correlation operation provides a measure of the degree of similarity between the two images.
  • In a specific implementation, the image comparison module 302 includes an optical correlator unit for computing the correlation between the image signal associated with the receptacle 104 and a target image from the database of target images 110. Specific examples of implementation of the optical correlator include a joint transform correlator (JTC) and a focal plane correlator (FPC).
  • The optical correlator multiplies together the Fourier transform of the image signal associated with the receptacle 104 with the Fourier transform complex conjugate of a target image and records the result with a camera. An energy peak measured with that camera indicates a match between the image signal associated with the receptacle 104 and the target image.
  • Advantageously, an optical correlator performs the correlation operation physically through light-based computation, rather than by using software running on a silicon-based computer, which allows computations to be performed at a higher speed than is possible with a software implementation and thus provides for improved real-time performance.
  • It will be appreciated that the correlation computation may also be implemented using a digital correlator. The correlation operation is computationally intensive and, in certain implementations requiring real-time performance, the use of a digital correlator may not provide a suitable performance. In such implementations, an optical correlator will be preferred.
  • As described above, the correlation computation is performed between an images associated with the receptacle 104 and the target images from the database of target images 110, which includes a plurality of target images associated to objects, which the system 100 is designed to detect. It will be appreciated that the content and format of the database of target images 110 may vary from one implementation to the next. The next paragraphs describe manners in which the database 110 can be generated when a correlation computation is used to effect a comparison between an image associated with the receptacle 104 and the target images from the database of target images 110. The skilled person in the art will readily appreciate in fight of the present description that other manners for generating the database 110 may be used without detracting from the spirit of the invention.
  • In a specific example of implementation, the database of target images 110 includes data indicative of the Fourier transform of the target image. This data will herein be referred to as a template or filter. In non-limiting examples of implementation, the Fourier transform of the target image is digitally pre-computed such as to improve the speed of the correlation operation when the system is in use. Image processing and enhancement can be performed on an original image of a target object to obtain better matching performance depending on the environment and application.
  • In a non-limiting example of implementation, the generation of the reference template or filter is performed in a few steps. First, the background is removed from the target image.
  • In other words the target image is extracted from the background and the background is replaced by a black background. The resulting image is then processed through a Fourier transform function. The result of this transform is a complex image. A phase only filter (POF) for example will only contain the complex conjugate of the phase information (between zero and 2 pi) which is mapped to a 0 to 255 range values. These 256 values correspond in fact to the 256 levels of gray of an image. The person skilled in the art, in light of the present specification, will readily appreciate that various types of templates or filters can be generated. Many methods for generating Fourier filters are known in the art and a few such methods will be described later on in the specification. The reader is invited to refer to the following document for additional information regarding phase only filters (POF): “Phase-Only Matched Filtering”, Joseph L. Horner and Peter D. Gianino, Appl. Opt. Vol. 23 no. 6, 15 Mar. 1994, pp. 812-816. The contents of this document are incorporated herein by reference.
  • As a variant, in order to reduce the amount of data needed to represent the whole range of 3D orientations that a single target object can take, a MACE (Minimum Average Correlation Energy) filter is used to generate a template or filter for a given target object. Typically, the MACE filter combines several different 2D projections of a given object and encodes them in a single MACE filter instead of having one 2D projection per filter. One of the benefits of using MACE filters is that the resulting database of target images 110 would take less space since it would include fewer items. Also, since the number of correlation operations needed to identify a single target object would be reduced, the total processing time to determine whether a given object is present would also be reduced. The reader is invited to refer to the following document for additional information regarding MACE filters: Mahalanobis, A., B. V. K. Vijaya Kumar, and D. Casasent (1987); Minimum average correlation energy filters, Appl. Opt. 26 no. 17, 3633-3640. The contents of this document are incorporated herein by reference.
  • Another way of reducing the processing time of the correlation computation is to take advantage of the linear properties of the Fourier transform. By dividing the target image into several sub-images, a composite image can be formed, herein referred to as a mosaic. When a mosaic is displayed at the input of the correlator, the correlation is computed simultaneously on all the sub-images without incurring any substantial time penalty. A mosaic may contain several different target objects or several different orientations of the same target object or a combination of both. FIG. 9 of the drawings depicts a mosaic including a target object in various orientations and scales. The parallel processing 5 capabilities of a mosaic effectively increase the throughput of an optical correlator. The reader is invited to refer to the following document for additional information regarding the use of a mosaic in an optical correlator: Method and apparatus for evaluating a scale factor and a rotation angle in image processing, Alain Bergeron et al., U.S. Pat. No. 6,549,683, Apr. 15, 2003. The contents of this document are incorporated herein by reference.
  • FIG. 10 depicts a high level functional block diagram of a receptacle screening system using an optical correlator as part of the image comparison module 302. As shown, an image 800 associated with a receptacle is generated by the image generation device 102 and provided as input to the pre-processing module 300. The pre-processing module 300 performs image acquisition and pre-processing operations and forwards the pre-processed signal to the optical correlator, which is part of the image comparison module 302. At the optical correlator, the pre-processed image undergoes an optical Fourier transformation 840. The result of the transformation is multiplied 820 by the (previously computed) Fourier transform complex conjugate of a target image 804 obtained from the database of target images 110. The optical correlator then processes the result of the multiplication of the two Fourier transforms by applying another optical Fourier transform 822. The resulting signal is captured by a camera at what is referred to as the correlation plane, which yields the correlation output. The correlation output is released for transmission to the detection signal generator 306 where it is analyzed. A peak in the correlation output indicates a match between the image 800 associated with the receptacle 104 and the target image 804. The result of the processing is then conveyed to the user by output module 108.
  • In a non-limiting example of implementation of an optical correlator, the Fourier transform of the image 800 associated with the receptacle 104 is performed as follows: The image is displayed internally on a small Liquid Crystal Display (LCD). A collimated coherent light beam projects the image through a lens that performs the equivalent of a Fourier transform on the image. The multiplication 820 of the Fourier transform of the image 800 by the (previously computed) Fourier transform complex conjugate of a target image 804 is performed by projecting the Fourier transform of the image 800 on a second LCD screen on which is displayed the template or filter associated to the target image 804. The two multiplied Fourier transforms are then processed through a second Fourier lens, which forces the light beam image to a CCD (camera) at the correlation plane. The CCD output is then sent to the detection signal generator module 306. In a specific implementation, the detection signal generator module 306 includes a frame grabber implemented by a digital computer. The digital computer is programmed to detect correlation peaks captured by the CCD.
  • The inner workings of the aforementioned non-limiting example optical correlator are illustrated in FIG. 11. On the left hand side appears a laser source 900 that generates a coherent light beam used to project images across the correlator. The light beam is directed first through a small set of lenses 902 used to expand its diameter in order to illuminate, in parallel, the whole surface of a first LCD screen 904. The image 800 associated with the receptacle 104 is displayed on the first LCD screen 904 either through a direct camera interface or provided as a VGA image by a computing device. The first LCD screen 904 is illuminated by the light beam and the image is propagated through the correlator. In the illustrated example, the image 800 captured by the camera is that of a gun on a conveyor belt.
  • The light beam modulated by the first image on the first LCD screen 904 is then propagated through a second set of lenses 906, referred to as a Fourier lens since it performs the equivalent of the Fourier transform mathematical operation. The inherent properties of light are used to physically perform the appropriate calculations. Specifically, the propagation of light is a function which corresponds to the kernel of the Fourier transform operation, thus the propagation of light along the axis of a Fourier lens represents a sufficiently strong approximation of this natural phenomenon to assert that the light beam undergoes a Fourier transform. Otherwise stated, a lens has the inherent property of performing a Fourier transform on images observed at its front focal plane, provided that this image is displayed at its back focal plane. The Fourier transform, which can normally be rather computation-intensive when calculated by a digital computer, is performed in the optical correlator simply by the propagation of the light. The mathematics behind this optical realization is equivalent to the exact Fourier transform function and can be modeled with standard fast Fourier algorithms. For more information regarding Fourier transforms, the reader is invited to consider B. V. K. Vijaya Kumar, Marios Savvides, Krithika Venkataramani,and Chunyan Xie , “Spatial frequency domain image processing for biometric recognition”, Biometrics ICIP Conference 2002 or alternatively J. W. Goodman, Introduction to Fourier Optics, 2nd Edition, McGraw-Hill, 1996. The contents of these documents are incorporated herein by reference.
  • After going through the Fourier lens 906, the signal is projected on a second LCD screen 908 on which is displayed the target template, i.e., Fourier transform of the target image. When the Fourier transform of the image associated with the receptacle goes through the second LCD screen 908 on which the target template is displayed, the light beam crosses a second Fourier lens 910 which, again, optically computes the equivalent of a Fourier transform multiplication. This operation corresponds to a correlation in the spatial domain. The target image displayed on the second LCD screen 908 in fact induces a phase variation on the incoming light beam. Each pixel can potentially induce a phase change whose magnitude is equivalent to its grey level. As such the Fourier transform displayed on the first LCD screen 904 is multiplied with the Fourier transform of the target image, which is equivalent to performing a correlation.
  • The second Fourier lens 910 finally concentrates the light beam on a small area camera or CCD 912 where the result of the correlation is measured, so to speak. The CCD (camera) 912 in fact measures energy peaks on the correlation plane. The position of a correlation peak corresponds in fact to the location of the target object center in the image 800 associated with the receptacle.
  • Referring back to FIG. 10, the CCD (or camera) communicates the signal from the optical correlator to the detection signal generator module 306. In this specific implementation, the detection signal generator module 306 is a computing unit including a frame grabber and software. The software is adapted to processing the signal received from the correlator to detect energy peaks as gray level video signals varying between 0 and 255. A strong intensity peak on the correlation plane indicates a match between the image 800 associated with the receptacle and the target image 804. The location of the energy peak also indicates the location of the center of the target image in the image 800 associated with the receptacle.
  • The detection signal generator module 306 generates a detection signal. The detection signal may provide, for example, information about the level of the peak(s) and, optionally, the position of the peak(s). The detection signal may also include data allowing identifying the target object for which the level of the peak(s) and, optionally, the position of the peak(s) is being provided.
  • Fourier Transform and Spatial Frequencies
  • The Fourier transform as applied to images will now be described in general terms. The Fourier transform is a mathematical tool used to convert the information present within an object's image into its frequency representation. In short, an image can be seen as a superposition of various spatial frequencies and the Fourier transform is a mathematical operation used to compute the intensity of each of these frequencies within the original image. The spatial frequencies represent the rate of variation of image intensity in space. Consequently, a smooth or uniform pattern mainly contains low frequencies. Sharply contoured patterns, by contrast, exhibit a higher frequency content.
  • The Fourier transform of an image f(x,y) is given by:
    F(u,v)=∫∫f(x,y)e −j2π(ux+vy) dxdy  (1)
    where u, v are the coordinates in the frequency domain. Thus, the Fourier transform is a global operator: changing a single frequency of the Fourier transform affects the whole object in the spatial domain.
  • A correlation operation can be mathematically described by: C ( ɛ , ξ ) = - - f ( x , y ) h * ( x - ɛ , y - ξ ) x y ( 2 )
    where ε and ξ represent the pixel coordinates in the correlation plane, C(ε,ξ) stands for the correlation, x and y identify the pixel coordinates of the input image, f(x, y) is the original input image and h *(ε,ξ) is the complex conjugate of the correlation filter.
  • In the frequency domain the same expression takes a slightly different form:
    C(ε, ξ)=ℑ −1(F(u,v)H*(u,v))  (3)
    where ℑ is the Fourier transform operator, u and v are the pixel coordinates in the Fourier plane, F(u,v) is the Fourier transform complex conjugate of the image acquired with the camera f(x,y) and H*(u,v) is the Fourier transform of the filter of the reference template. Thus, the correlation between an input image and a target template is equivalent, in mathematical terms, to the multiplication of their respective Fourier transform, provided that the complex conjugate of the filter is used. Consequently, the correlation can be defined in the spatial domain as the search for a given pattern (template), or in the frequency domain, as filtering operation with a specially designed matched filter.
  • Advantageously, the use of optics for computing a correlation operation allows the computation to be performed in a shorter time than by using a digital implementation of the correlation. It turns out that an optical lens properly positioned (i.e. input and output images are located on the lens's focal planes) automatically computes the Fourier transform of the input image. In order to speed up the computation of the correlation, the Fourier transform of a target image can be computed beforehand and submitted to the correlator as a mask or template. The target template (or filter in short) is generated by computing the Fourier transform of the reference template. This type of filter is called a matched filter.
  • FIG. 10 depicts the Fourier transform of the spatial domain image of a ‘2’. It can be seen that most of the energy (bright areas) is contained in the central portion of the Fourier transform image which correspond to low spatial frequencies (the images are centred on the origin of the Fourier plane). The energy is somewhat more dispersed in the medium frequencies and is concentrated in orientations representative of the shape of the input image. Finally, little energy is contained in the upper frequencies. The right-hand-side image shows the phase content of the Fourier transform. The phase is coded from black (0°) to white ( 360°).
  • Generation of Filters from Target Images
  • Matched filters, as their name implies, are specifically adapted to respond to one image in particular: they are optimized to respond to an object with respect to its energy content. Generally, the contour of an object corresponds to its high frequency content. This can be easily understood as the contour represent areas where the intensity varies rapidly (hence a high frequency).
  • In order to emphasize the contour of an object, the matched filter can be divided by its module (the image is normalized), over the whole Fourier transform image. The resulting filter is called a Phase-Only Filter (POF) and is defined by: POF ( u , v ) = H * ( u , v ) H * ( u , v ) ( 4 )
  • The reader is invited to refer to the following document for additional information regarding phase only filters (POF): “Phase-Only Matched Filtering”, Joseph L. Homer and Peter D. Gianino, Appl. Opt. Vol. 23 no. 6, 15 Mar. 1994, pp. 812-816. The contents of this document are incorporated herein by reference.
  • Because these filters are defined in the frequency domain, normalizing over the whole spectrum of frequencies implies that each of the frequency components is considered with the same weight. In the spatial domain (e.g. usual real-world domain), this means that the emphasis is given to the contours (or edges) of the object. As such, the POF filter provides a higher degree of discrimination, sharper correlation peaks and higher energy efficiency.
  • The discrimination provided by the POF filter, however, has some disadvantages. It turns out that, although the optical correlator is somewhat insensitive to the size of the objects to be recognized, the images are expected to be properly sized, otherwise the features might not be registered properly. To understand this requirement, imagine a filter defined out of a given instance of a ‘2’. If that filter is applied to a second instance of a ‘2’ whose contour is slightly different, the correlation peak will be significantly reduced as a result of the great sensitivity of the filter to the original shape. A different type of filter, termed a composite filter, was introduced to overcome these limitations. The reader is invited to refer to the following document for additional information regarding this different type of composite filter: H. J. Caufield and W. T. Maloney, Improved discrimination in optical character recognition, Appl. Opt., 8, 2354, 1969. The contents of this document are incorporated herein by reference.
  • In accordance with specific implementations, filters can be designed by:
      • Appropriately choosing one specific instance (because it represents characteristics which are, on average, common to all symbols of a given class) of a symbol and calculating from that image the filter against which all instances of that class of symbols will be compared; or
      • Averaging many instances of a given to create a generic or ‘template’ image from which the filter is calculated. The computed filter is then called a composite filter since it incorporates the properties of many images (note that it is irrelevant whether the images are averaged before or after the Fourier transform operator is applied, provided that in the latter case, the additions are performed taking the Fourier domain phase into account).
  • The latter procedure forms the basis for the generation of composite filters. Thus composite filters are composed of the response of individual POF filters to the same symbol. Mathematically, this can be expressed by:
    h comp(x,y)=αaha(x,y)+αbhb(x,y)+K+α xhx(x,y)  (5)
  • A filter generated in this fashion is likely to be more robust to minor signature variations as the irrelevant high frequency features will be averaged out. In short, the net effect is an equalization of the response of the filter to the different instances of a given symbol.
  • Composite filters can also be used to reduce the response of the filter to the other classes of symbols. In equation (5) above, if the coefficient b, for example, is set to a negative value, then the filter response to a symbol of class b will be significantly reduced. In other words, the correlation peak will be high if ha(x,y) is at the input image, and low if hb(x,y) is present at the input. A typical implementation of composite filters is described in: Optical character recognition (OCR) in uncontrolled environments using optical correlators, Andre Morin, Alain Bergeron, Donald Prevost, and Ernst A. Radloff Proc. SPIE Int. Soc. Opt. Eng. 3715, 346 (1999). The contents of this document are incorporated herein by reference.
  • Second Embodiment—Screening of Persons
  • Although the above-described screening system was described in connection with screening of receptacles, the concepts described above can also be applied to the screening of people.
  • For example, in an alternative embodiment, a system for screening people is provided. The system includes components similar to those described in connection with the system depicted in FIG. 1. In a specific example of implementation, the image generation device 102 is configured to scan a person and possibly to scan the person along various axes and/or views to generate multiple images associated to the person. The image or images associated with the person convey information related to the objects carried by the person. FIG. 13 depicts two images associated with a person suitable for use in connection with a specific implementation of the system. Each image is then processed in accordance with the method described in the present specification to detect the presence of prohibited objects on the person.
  • Optionally, in the case of a system for screening people, the database of target objects 110 may further include entries associated to non-prohibited objects and/or objects that do not represent a potential threat. Such entries may be used to detect objects commonly carried by people such as cell-phones, watches and rings, for example, which are not prohibited and not threatening. Advantageously, by identifying such objects and indicating to the screeners that such objects are not prohibited and/or do not represent a potential and as such can be ignored, unnecessary manual verifications can be avoided.
  • Specific Physical Implementation
  • Certain portions of the apparatus 1510 for implementing a user interface (shown in FIG. 3) can be implemented on a general purpose digital computer 1300, of the type depicted in FIG. 14, including a processing unit 1302 and a memory 1304 connected by a communication bus. The memory includes data 1308 and program instructions 1306. The processing unit 1302 is adapted to process the data 1308 and the program instructions 1306 in order to implement the functional blocks described in the specification and depicted in the drawings. The digital computer 1300 may also comprise an I/O interface 1310 for receiving or sending data elements to external devices.
  • Similarly, certain portions of the image processing apparatus 106 can also be implemented on a general purpose digital computer having a similar structure as that described in connection with FIG. 14. Certain portions of the image processing apparatus 106 and of the apparatus 1510 for implementing a user interface may be implemented on a same general purpose digital computer without detracting from the spirit of the invention.
  • Alternatively, the above-described image processing apparatus 106 can be implemented on a dedicated hardware platform where electrical/optical components implement the functional blocks described in the specification and depicted in the drawings. Specific implementations may be realized using ICs, ASICs, DSPs, FPGA, an optical correlator, digital correlator or other suitable hardware platform.
  • Other alternative implementations of the image processing apparatus 106 and the apparatus 1510 for implementing a user interface can be implemented as a combination of dedicated hardware and software such as apparatus 1200 of the type depicted in FIG. 15. As shown, such an implementation comprises an optical correlator 1208 or other dedicated image processing hardware and a general purpose computing unit 1206 including a CPU 1212 and a memory 1214 connected by a communication bus. The memory includes data 1218 and program instructions 1216. The CPU 1212 is adapted to process the data 1218 and the program instructions 1216 in order to implement the functional blocks described in the specification and depicted in the drawings. The CPU 1212 is also adapted to exchange data with the optical correlator 1208 over communication link 1210 to make use of the optical correlator's image processing capabilities. The apparatus 1202 may also comprise I/O interfaces 1202 1204 for receiving or sending data elements to external devices.
  • In a variant, a single optical correlator 1208 can be shared by multiple general purpose computing units 1206. In such a variant, conventional parallel processing techniques can be used for sharing a common hardware resource.
  • In a specific example of implementation, the optical correlator suitable for use in the system described includes two video inputs. The video inputs are suitable for receiving a signal derived from an image generation device and a signal derived from a database of target images. In a specific implementation, the video inputs are suitable for receiving a signal in an NTSC compatible format or a VGA compatible format. It will be appreciated that either one of the video inputs may be adapted for receiving signals of lower or higher resolution than the VGA compatible format signal. Similarly, it will also be appreciated that the video input suitable for receiving a signal in an NTSC compatible format may be adapted for receiving signals in suitable formats such as, but not limited to, PAL and SECAM. In a non-limiting implementation, the optical correlator is adapted to process an image received at the video input having an area of 640×480 pixels. However, it will be readily apparent that, by providing suitable interfaces, larger or smaller images can be handled since the optical correlator's processing capability is independent of the size of the image, as opposed to digital systems that require more processing time and power as images get larger.
  • It will be appreciated that the system for screening a receptacle 100 (depicted in FIG. 1) may also be of a distributed nature where the image signals associated with the receptacles are obtained at one location or more locations and transmitted over a network to a server unit implementing the method described above. The server unit may then transmit a signal for causing an output unit to display information to the user. The output unit may be located in the same location where the image signal associated with the receptacle was obtained or in the same location as the server unit or in yet another location. In a non-limiting implementation, the output unit is part of a centralized receptacle screening facility. FIG. 16 illustrates a network-based client-server system 1300 for system for screening receptacles. The client-server system 1300 includes a plurality of client systems 1302, 1304, 1306 and 1308 connected to a server system 1310 through network 1312. The communication links 1314 between the client systems 1302, 1304, 1306 and 1308 and the server system 1310 can be metallic conductors, optical fibres or wireless, without departing from the spirit of the invention. The network 1312 may be any suitable network including but not limited to a global public network such as the Internet, a private network and a wireless network. The server 1310 may be adapted to process and issue signals concurrently using suitable methods known in the computer related arts.
  • The server system 1310 includes a program element 1316 for execution by a CPU. Program element 1316 includes functionality to implement the methods described above, including a method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects during security screening of a receptacle, and includes the necessary networking functionality to allow the server system 1310 to communicate with the client systems 1302, 1304, 1306 and 1308 over network 1312. In a specific implementation, the client systems 1302, 1304, 1306 and 1308 include display units responsive to signals received from the server system 1310 for displaying user interface module implementation by the server system 1310. Optionally, server system 1310 also includes an optical correlator unit.
  • Although the present invention has been described in considerable detail with reference to certain preferred embodiments thereof, variations and refinements are possible without departing from the spirit of the invention. Therefore, the scope of the invention should be limited only by the appended claims and their equivalents.

Claims (80)

1. A computer readable storage medium storing a program element suitable for execution by a CPU, said program element implementing a graphical user interface module for use in detecting the presence of one or more prohibited objects in a receptacle, said graphical user interface module being adapted for:
a) displaying first information conveying an image associated with the receptacle, said image conveying information related to the contents of the receptacle;
b) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information;
c) providing a control allowing a user to cause third information to be displayed, said third information conveying at least one characteristic associated to the at least one prohibited object.
2. A computer readable storage medium as defined in claim 1, wherein said third information conveys an image of the at least one prohibited object, the image being extracted from a database of prohibited objects.
3. A computer readable storage medium as defined in claim 1, wherein said third information conveys a risk level associated to the at least one prohibited object.
4. A computer readable storage medium as defined in claim 1, wherein said third information conveys a level of confidence associated to the presence of the at least one prohibited object in the receptacle.
5. A computer readable storage medium as defined in claim 1, wherein said first information and second information are displayed in a first viewing window and said third information is displayed in a second viewing window.
6. A computer readable storage medium as defined in claim 5, wherein said graphical user interface module being adapted for:
a) displaying a prohibited object list, the prohibited object list including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected;
b) enabling a user to select an entry from said plurality of entries in said prohibited object list;
c) displaying information associated with the entry selected in b).
7. A computer readable storage medium as defined in claim 6, wherein at least one entry in said prohibited object list conveys a level of confidence associated to detection of the corresponding prohibited object in the receptacle.
8. A computer readable storage medium as defined in claim 6, wherein said information associated to the selected entry includes an information item selected from the set consisting of an image of a prohibited object and a risk level associated to the prohibited object.
9. A computer readable storage medium as defined in claim 1, wherein said control is a first control, said graphical user interface module being adapted for providing a second control allowing a user to cause said second information to be removed from the user interface module.
10. A computer readable storage medium as defined in claim 1, wherein the image associated with the receptacle conveyed by said first information is selected from the set consisting of x-ray, gamma-ray, computed tomography (CT scans), TeraHertz and millimeter wave images.
11. A computer readable storage medium as defined in claim 1, wherein the image associated with the receptacle conveyed by said first information includes an image generated on the basis of emitted radiation.
12. A computer readable storage medium as defined in claim 1, wherein said control allows the user to cause said third information to be displayed by using an input device selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
13. A computer readable storage medium as defined in claim 12, wherein said control includes a selection box.
14. A computer readable storage medium as defined in claim 1, wherein the second information conveys the presence of at least one prohibited object in the receptacle in textual format.
15. A computer readable storage medium as defined in claim 1, wherein the second information conveys the presence of at least one prohibited object in the receptacle in graphical format.
16. A computer readable storage medium as defined in claim 15, wherein the second information conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
17. A computer readable storage medium as defined in claim 1, wherein said graphical user interface module is adapted for:
a) receiving a detection signal conveying presence of at least one prohibited object in the receptacle;
b) processing the detection signal to derive said second information.
18. A computer readable storage medium as defined in claim 17, wherein said detection signal includes a data element conveying a level of confidence associated to the presence of at least one prohibited object in the receptacle.
19. A computer readable storage medium as defined in claim 18, wherein said graphical user interface module is operative for:
a) processing the data element indicative of the level of confidence in combination with a detection sensitivity level;
b) when the level of confidence associated to the presence of at least one prohibited object in the receptacle conveyed by the data element in the detection signal is below the detection sensitivity level, causing said second information to be omitted from the user interface module.
20. A computer readable storage medium as defined in claim 19, wherein said control is a first control, said user interface is adapted for displaying a second control allowing a user to modify the detection sensitivity level.
21. A computer readable storage medium as defined in claim 17, wherein the detection signal conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
22. A computer readable storage medium as defined in claim 17, wherein the detection signal enables identification of the at least one prohibited object whose presence in the receptacle was detected.
23. A computer readable storage medium as defined in claim 1, wherein the receptacle is a luggage item.
24. A computer readable storage medium as defined in claim 1, wherein the receptacle is a cargo container.
25. A computer readable storage medium as defined in claim 1, wherein the receptacle is a mail parcel.
26. An apparatus for implementing a user interface module for use in screening receptacles to detect the presence of one or more prohibited objects, said apparatus comprising:
a) a first input for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle;
b) a second input for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle;
c) a processing unit in communication with said first input and second input, said processing unit being operative for implementing the user interface module, said user interface module being adapted for:
i) displaying first information conveying an image associated with the receptacle on the basis of said image signal;
ii) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal;
iii) providing a control allowing a user to cause third information to be displayed, said third information conveying at least one characteristic associated to the at least one prohibited object;
d) an output for releasing a signal adapted to cause a display module to display said user interface module.
27. An apparatus as defined in claim 26, wherein said third information conveys an image of the at least one prohibited object, the image being extracted from a database of prohibited objects.
28. An apparatus as defined in claim 26, wherein said third information conveys a risk level associated to the at least one prohibited object.
29. An apparatus as defined in claim 26, wherein said third information conveys a level of confidence associated to the presence of the at least one prohibited object in the receptacle.
30. An apparatus as defined in claim 26, wherein said first information and second information are displayed in a first viewing window and said third information is displayed in a second viewing window.
31. An apparatus as defined in claim 30, wherein said graphical user interface module being adapted for:
a) displaying a prohibited object list, the prohibited object list including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected;
b) enabling a user to select an entry from said plurality of entries in said prohibited object list;
c) displaying information associated with the entry selected in b).
32. An apparatus as defined in claim 31, wherein at least one entry in said prohibited object list conveys a level of confidence associated to detection of the corresponding prohibited object in the receptacle.
33. An apparatus as defined in claim 31, wherein said information associated to the selected entry includes an information item selected from the set consisting of an image of a prohibited object and a risk level associated to the prohibited object.
34. An apparatus as defined in claim 26, wherein said control is a first control, said graphical user interface module being adapted for displaying a second control allowing a user to cause said second information to be removed from the user interface module.
35. An apparatus as defined in claim 26, wherein the image associated with the receptacle conveyed by said first information is selected from the set consisting of x-ray, gamma-ray, computed tomography (CT scans), TeraHertz and millimeter wave images.
36. An apparatus as defined in claim 26, wherein the image associated with the receptacle conveyed by said first information includes an image generated on the basis of emitted radiation.
37. An apparatus as defined in claim 26, wherein said control allows the user to cause said third information to be displayed by using an input device selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
38. An apparatus as defined in claim 37, wherein said control includes a selection box.
39. An apparatus as defined in claim 26, wherein the second information conveys the presence of at least one prohibited object in the receptacle in textual format.
40. An apparatus as defined in claim 26, wherein the second information conveys the presence of at least one prohibited object in the receptacle in graphical format.
41. An apparatus as defined in claim 40, wherein the second information conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
42. An apparatus as defined in claim 26, wherein said detection signal includes a data element conveying a level of confidence associated to the presence of at least one prohibited object in the receptacle.
43. An apparatus as defined in claim 42, wherein said graphical user interface module is operative for:
a) processing the data element indicative of the level of confidence in combination with a detection sensitivity level;
b) when the level of confidence associated to the presence of at least one prohibited object in the receptacle conveyed by the data element in the detection signal is below the detection sensitivity level, causing said second information to be omitted from the user interface module.
44. An apparatus as defined in claim 43, wherein said control is a first control, said user interface is adapted for displaying a second control allowing a user to modify the detection sensitivity level.
45. An apparatus as defined in claim 41, wherein the detection signal conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
46. An apparatus as defined in claim 41, wherein the detection signal enables identification of the at least one prohibited object whose presence in the receptacle was detected.
47. An apparatus as defined in claim 26, wherein the receptacle is a luggage item.
48. An apparatus as defined in claim 26, wherein the receptacle is a cargo container.
49. An apparatus as defined in claim 26, wherein the receptacle is a mail parcel.
50. A method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening, said method comprising:
a) receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle;
b) displaying first information conveying an image associated with the receptacle on the basis of said image signal;
c) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information;
d) providing a control allowing a user to cause third information to be displayed, said third information conveying at least one characteristic associated to the at least one prohibited object.
51. A method as defined in claim 50, wherein said third information conveys an image of the at least one prohibited object, the image being extracted from a database of prohibited objects.
52. A method as defined in claim 50, wherein said third information conveys a risk level associated to the at least one prohibited object.
53. A method as defined in claim 50, wherein said third information conveys a level of confidence associated to the presence of the at least one prohibited object in the receptacle.
54. A method as defined in claim 50, wherein said first information and second information are displayed in a first viewing window and said third information is displayed in a second viewing window.
55. A method as defined in claim 54, wherein said graphical user interface module being adapted for:
a) displaying a prohibited object list, the prohibited object list including a plurality of entries, each entry being associated to a corresponding prohibited object whose presence in the receptacle was detected;
b) enabling a user to select an entry from said plurality of entries in said prohibited object list;
c) displaying information associated with the entry selected in b).
56. A method as defined in claim 55, wherein at least one entry in said prohibited object list conveys a level of confidence associated to detection of the corresponding prohibited object in the receptacle.
57. A method as defined in claim 55, wherein said information associated to the selected entry includes an information item selected from the set consisting of an image of a prohibited object and a risk level associated to the prohibited object.
58. A method as defined in claim 50, wherein said control is a first control, said graphical user interface module being adapted for displaying a second control allowing a user to cause said second information to be removed from the user interface module.
59. A method as defined in claim 50, wherein the image associated with the receptacle conveyed by said first information is selected from the set consisting of x-ray, gamma-ray, computed tomography (CT scans), TeraHertz and millimeter wave images.
60. A method as defined in claim 50, wherein the image associated with the receptacle conveyed by said first information includes an image generated on the basis of emitted radiation.
61. A method as defined in claim 50, wherein said control allows the user to cause said third information to be displayed by using an input device selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
62. A method as defined in claim 61, wherein said control includes a selection box.
63. A method as defined in claim 50, wherein the second information conveys the presence of at least one prohibited object in the receptacle in textual format.
64. A method as defined in claim 50, wherein the second information conveys the presence of at least one prohibited object in the receptacle in graphical format.
65. A method as defined in claim 64, wherein the second information conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
66. A method as defined in claim 50, wherein said method comprises:
a) receiving a detection signal conveying presence of at least one prohibited object in the receptacle;
b) processing the detection signal to derive said second information.
67. A method as defined in claim 66, wherein said detection signal includes a data element conveying a level of confidence associated to the presence of at least one prohibited object in the receptacle.
68. A method as defined in claim 67, wherein said graphical user interface module is operative for:
a) processing the data element indicative of the level of confidence in combination with a detection sensitivity level;
b) when the level of confidence associated to the presence of at least one prohibited object in the receptacle conveyed by the data element in the detection signal is below the detection sensitivity level, causing said second information to be omitted from the user interface module.
69. A method as defined in claim 68, wherein said control is a first control, said user interface is adapted for displaying a second control allowing a user to modify the detection sensitivity level.
70. A method as defined in claim 66, wherein the detection signal conveys position information related to the at least one prohibited object whose presence in the receptacle was detected.
71. A method as defined in claim 66, wherein the detection signal enables identification of the at least one prohibited object whose presence in the receptacle was detected.
72. A method as defined in claim 50, wherein the receptacle is a luggage item.
73. A method as defined in claim 50, wherein the receptacle is a cargo container.
74. A method as defined in claim 50, wherein the receptacle is a mail parcel.
75. An apparatus for implementing a user interface module for use in detecting the presence of one or more prohibited objects in a receptacle, said apparatus comprising:
a) means for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle;
b) means for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle;
c) means for implementing the user interface module, said user interface module being adapted for:
i) displaying first information conveying an image associated with the receptacle on the basis of said image signal;
ii) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal;
iii) providing a control allowing a user to cause third information to be displayed, said third information conveying at least one characteristic associated to the at least one prohibited object;
d) means for releasing a signal adapted to cause a display module to display said user interface module.
76. A system for detecting the presence of one or more prohibited objects in a receptacle, comprising:
a) an input for receiving data conveying graphic information regarding the contents of the receptacle;
b) an optical correlator in communication with said input, said optical correlator being operative for processing the graphic information to detect a depiction of the one or more prohibited objects in the receptacle;
c) an apparatus for implementing a user interface module, said apparatus being in communication with said input and with said optical correlator, said apparatus being operative for implementing a user interface module adapted for:
i) displaying first information conveying an image associated with the receptacle on the basis of the data conveying graphic information regarding the contents of the receptacle;
ii) displaying second information conveying a presence of one or more prohibited objects in the receptacle, said second information being displayed simultaneously with said first information;
iii) releasing a signal adapted to cause a display module to display said user interface module.
77. A computer readable storage medium storing a program element suitable for execution by a CPU, said program element implementing a graphical user interface module for use in detecting the presence of one or more prohibited objects in a receptacle, said graphical user interface module being adapted for:
a) displaying first information conveying an image associated with the receptacle, said image conveying information related to the contents of the receptacle;
b) receiving a detection signal conveying a presence of at least one prohibited object in the receptacle;
c) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal.
78. A method for displaying information associated to a receptacle for use in detecting the presence of one or more prohibited objects in the receptacle during security screening, said method comprising:
a) receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle;
b) displaying first information conveying an image associated with the receptacle on the basis of said image signal;
c) receiving a detection signal conveying a presence of at least one prohibited object in the receptacle;
d) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal.
79. An apparatus for implementing a user interface module for use in screening receptacles to detect a presence of one or more prohibited objects, said apparatus comprising:
a) a first input for receiving an image signal associated with a receptacle, the image signal conveying information related to the contents of the receptacle;
b) a second input for receiving a detection signal conveying a presence of at least one prohibited object in the receptacle;
c) a processing unit in communication with said first input and second input, said processing unit being operative for implementing the user interface module, said user interface module being adapted for:
i) displaying first information conveying an image associated with the receptacle on the basis of said image signal;
ii) displaying second information conveying a presence of at least one prohibited object in the receptacle, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal;
d) an output for releasing a signal adapted to cause a display module to display said user interface module.
80. An apparatus for implementing a user interface module for use in screening a person to detect the presence of one or more prohibited objects, said apparatus comprising:
a) a first input for receiving an image signal associated with the person;
b) a second input for receiving a detection signal conveying a presence of at least one prohibited object on the person;
c) a processing unit in communication with said first input and second input, said processing unit being operative for implementing the user interface module, said user interface module being adapted for:
i) displaying first information conveying an image associated with the person on the basis of said image signal;
ii) displaying second information conveying a presence of at least one prohibited object on the person, said second information being displayed simultaneously with said first information, said second information being derived at least in part on the basis of said detection signal;
d) an output for releasing a signal adapted to cause a display module to display said user interface module.
US11/407,217 2005-05-11 2006-04-20 User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same Abandoned US20070058037A1 (en)

Priority Applications (9)

Application Number Priority Date Filing Date Title
CA002608121A CA2608121A1 (en) 2005-05-11 2006-04-25 User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same
EP06741416A EP1880331A4 (en) 2005-05-11 2006-04-25 User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same
PCT/CA2006/000655 WO2006119609A1 (en) 2005-05-11 2006-04-25 User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same
AU2006246250A AU2006246250A1 (en) 2005-05-11 2006-04-25 User interface for use in screening luggage, containers, parcels or people and apparatus for implementing same
PCT/CA2006/000751 WO2006119629A1 (en) 2005-05-11 2006-05-11 Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
CA002608124A CA2608124A1 (en) 2005-05-11 2006-05-11 Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
US11/431,719 US20070041613A1 (en) 2005-05-11 2006-05-11 Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
CA002584683A CA2584683A1 (en) 2006-04-20 2007-04-13 Apparatus, method and system for screening receptacles and persons
US11/785,116 US20080062262A1 (en) 2005-05-11 2007-04-16 Apparatus, method and system for screening receptacles and persons

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CA2005/000716 WO2006119603A1 (en) 2005-05-11 2005-05-11 Method and system for screening luggage items, cargo containers or persons

Related Parent Applications (1)

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PCT/CA2005/000716 Continuation-In-Part WO2006119603A1 (en) 2005-05-11 2005-05-11 Method and system for screening luggage items, cargo containers or persons

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US11/431,719 Continuation-In-Part US20070041613A1 (en) 2005-05-11 2006-05-11 Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
US11/785,116 Continuation-In-Part US20080062262A1 (en) 2005-05-11 2007-04-16 Apparatus, method and system for screening receptacles and persons

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Cited By (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070041613A1 (en) * 2005-05-11 2007-02-22 Luc Perron Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
US20070041612A1 (en) * 2005-05-11 2007-02-22 Luc Perron Apparatus, method and system for screening receptacles and persons, having image distortion correction functionality
WO2008019473A1 (en) * 2006-08-16 2008-02-21 Optosecurity Inc. Method and apparatus for use in security screening providing incremental display of threat detection information and security system incorporating same
US20080062262A1 (en) * 2005-05-11 2008-03-13 Luc Perron Apparatus, method and system for screening receptacles and persons
US20080152082A1 (en) * 2006-08-16 2008-06-26 Michel Bouchard Method and apparatus for use in security screening providing incremental display of threat detection information and security system incorporating same
WO2008119151A1 (en) * 2007-03-30 2008-10-09 Optosecurity Inc. User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same
US20080260199A1 (en) * 2004-08-13 2008-10-23 Ingenia Technology Limited Authenticity Verification Methods, Products and Apparatuses
US20080294900A1 (en) * 2004-08-13 2008-11-27 Ingenia Technology Limited Authenticity Verification of Articles Using a Database
US20090175411A1 (en) * 2006-07-20 2009-07-09 Dan Gudmundson Methods and systems for use in security screening, with parallel processing capability
US20090196396A1 (en) * 2006-10-02 2009-08-06 Optosecurity Inc. Tray for assessing the threat status of an article at a security check point
WO2009114928A1 (en) * 2008-03-17 2009-09-24 Optosecurity, Inc. Method and apparatus for assessing characteristics of liquids
US20100002834A1 (en) * 2006-09-18 2010-01-07 Optosecurity Inc Method and apparatus for assessing characteristics of liquids
EP2165188A2 (en) * 2007-06-21 2010-03-24 Rapiscan Security Products, Inc. Systems and methods for improving directed people screening
US7734102B2 (en) 2005-05-11 2010-06-08 Optosecurity Inc. Method and system for screening cargo containers
US20100166322A1 (en) * 2008-12-30 2010-07-01 International Business Machines Corporation Security Screening Image Analysis Simplification Through Object Pattern Identification
US20100208972A1 (en) * 2008-09-05 2010-08-19 Optosecurity Inc. Method and system for performing x-ray inspection of a liquid product at a security checkpoint
US20100207741A1 (en) * 2007-10-10 2010-08-19 Optosecurity Inc. Method, apparatus and system for use in connection with the inspection of liquid merchandise
US20100316251A1 (en) * 2005-12-23 2010-12-16 Ingenia Holdings Limited Optical Authentication
US20110007870A1 (en) * 2007-10-01 2011-01-13 Optosecurity Inc. Method and devices for assessing the threat status of an article at a security check point
US7899232B2 (en) 2006-05-11 2011-03-01 Optosecurity Inc. Method and apparatus for providing threat image projection (TIP) in a luggage screening system, and luggage screening system implementing same
US20110172972A1 (en) * 2008-09-15 2011-07-14 Optosecurity Inc. Method and apparatus for asssessing properties of liquids by using x-rays
US8078875B2 (en) 2005-07-27 2011-12-13 Ingenia Holdings Limited Verification of authenticity
US20120093367A1 (en) * 2009-06-15 2012-04-19 Optosecurity Inc. Method and apparatus for assessing the threat status of luggage
US8421625B2 (en) 2004-03-12 2013-04-16 Ingenia Holdings Limited System and method for article authentication using thumbnail signatures
US8494210B2 (en) 2007-03-30 2013-07-23 Optosecurity Inc. User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same
US8508592B2 (en) 2009-02-25 2013-08-13 The University Of Memphis Research Foundation Spatially-selective reflector structures, reflector disks, and systems and methods for use thereof
US8615475B2 (en) 2008-12-19 2013-12-24 Ingenia Holdings Limited Self-calibration
US8682076B2 (en) 2008-12-19 2014-03-25 Ingenia Holdings Limited Signature generation for use in authentication and verification using a non-coherent radiation source
US8699088B2 (en) 2004-03-12 2014-04-15 Ingenia Holdings Limited Methods and apparatuses for creating authenticatable printed articles and subsequently verifying them
DE102012111201A1 (en) * 2012-11-21 2014-05-22 Eads Deutschland Gmbh Sensor system for detecting e.g. weapons hidden in clothing of aircraft passenger in airport, has sensor devices arranged such that monitored area is detected from different viewpoints, and evaluating device evaluating detected data
US8780345B2 (en) 2011-04-22 2014-07-15 The University Of Memphis Research Foundation Spatially-selective disks, submillimeter imaging devices, methods of submillimeter imaging, profiling scanners, spectrometry devices, and methods of spectrometry
US8831331B2 (en) 2009-02-10 2014-09-09 Optosecurity Inc. Method and system for performing X-ray inspection of a product at a security checkpoint using simulation
US8879791B2 (en) 2009-07-31 2014-11-04 Optosecurity Inc. Method, apparatus and system for determining if a piece of luggage contains a liquid product
US8892556B2 (en) 2009-11-10 2014-11-18 Ingenia Holdings Limited Optimisation
US20150181136A1 (en) * 2011-03-29 2015-06-25 Thermal Matrix USA, Inc. Method and system for detecting concealed objects using handheld thermal imager
US9632206B2 (en) 2011-09-07 2017-04-25 Rapiscan Systems, Inc. X-ray inspection system that integrates manifest data with imaging/detection processing
US9818249B1 (en) 2002-09-04 2017-11-14 Copilot Ventures Fund Iii Llc Authentication method and system
US9891314B2 (en) 2014-03-07 2018-02-13 Rapiscan Systems, Inc. Ultra wide band detectors
US10013750B2 (en) * 2012-12-27 2018-07-03 Tsinghua University Object detection methods, display methods and apparatuses
US10134254B2 (en) 2014-11-25 2018-11-20 Rapiscan Systems, Inc. Intelligent security management system
US10302807B2 (en) 2016-02-22 2019-05-28 Rapiscan Systems, Inc. Systems and methods for detecting threats and contraband in cargo
JP2019111473A (en) * 2017-12-21 2019-07-11 アンリツインフィビス株式会社 Article inspection device
US10949677B2 (en) 2011-03-29 2021-03-16 Thermal Matrix USA, Inc. Method and system for detecting concealed objects using handheld thermal imager
US20210239875A1 (en) * 2020-01-30 2021-08-05 Hitachi, Ltd. Alert output timing control apparatus, alert output timing control method, and non-transitory computer readable storage medium
US11280898B2 (en) 2014-03-07 2022-03-22 Rapiscan Systems, Inc. Radar-based baggage and parcel inspection systems
WO2022062872A1 (en) * 2020-09-22 2022-03-31 Kyndryl, Inc. Identifying a distributed threat in a security zone

Families Citing this family (56)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7963695B2 (en) 2002-07-23 2011-06-21 Rapiscan Systems, Inc. Rotatable boom cargo scanning system
US20080089477A1 (en) * 2006-05-25 2008-04-17 Eyal Eshed System and method for security of shipped containers
JP2008089868A (en) * 2006-09-29 2008-04-17 Fujifilm Corp Method and device for acquiring drawing point data and method and device for drawing
US8081811B2 (en) * 2007-04-12 2011-12-20 Fujifilm Corporation Method, apparatus, and program for judging image recognition results, and computer readable medium having the program stored therein
US7926705B2 (en) * 2007-04-20 2011-04-19 Morpho Detection, Inc. Method and system for using a recording device in an inspection system
US8094874B2 (en) * 2007-05-29 2012-01-10 Lockheed Martin Corporation Material context analysis
US7692541B1 (en) * 2007-05-31 2010-04-06 Gianni Arcaini Method and apparatus for detecting container breach via visual cues
US20080298546A1 (en) * 2007-05-31 2008-12-04 General Electric Company Cargo container inspection method
US8108055B2 (en) 2007-12-28 2012-01-31 Larry Wong Method, system and apparatus for controlling an electrical device
GB0803644D0 (en) * 2008-02-28 2008-04-02 Rapiscan Security Products Inc Scanning systems
US8462206B1 (en) * 2010-02-25 2013-06-11 Amazon Technologies, Inc. Image acquisition system
US8917927B2 (en) * 2010-08-17 2014-12-23 Telesecurity Sciences, Inc. Portable backscatter advanced imaging technology scanner with automated target recognition
US8586955B2 (en) * 2010-09-22 2013-11-19 Ko Khee Tay Apparatus and method for attenuating high energy radiation based on detected vehicle type
DE102011112652A1 (en) * 2011-05-16 2012-11-22 Eads Deutschland Gmbh Image analysis for ordnance disposal and security controls
DK2538394T3 (en) * 2011-06-24 2022-02-14 Tomra Systems Asa Method and apparatus for detecting fraud attempts in return vending machines
KR101305300B1 (en) * 2012-10-11 2013-09-06 사단법인 대덕원자력포럼 Millimeter wave search system and unified search method for freight and passenger using the system
US9256798B2 (en) * 2013-01-31 2016-02-09 Aurasma Limited Document alteration based on native text analysis and OCR
EP2793164A1 (en) * 2013-04-19 2014-10-22 Stichting Maastricht Radiation Oncology "Maastro Clinic" Method and system for determining a phenotype of a neoplasm in a human or animal body
EP2796902B1 (en) * 2013-04-23 2017-06-14 Spinner GmbH Millimeter Wave Scanning Imaging System
JP2016525218A (en) 2013-07-23 2016-08-22 ラピスカン システムズ、インコーポレイテッド Method to improve processing speed for analyte testing
DE102013222098A1 (en) * 2013-10-30 2015-04-30 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Cargo scanning system
CN104636707B (en) 2013-11-07 2018-03-23 同方威视技术股份有限公司 The method of automatic detection cigarette
CN104751163B (en) * 2013-12-27 2018-06-19 同方威视技术股份有限公司 The fluoroscopic examination system and method for automatic Classification and Identification are carried out to cargo
US9558547B2 (en) * 2014-01-09 2017-01-31 The Boeing Company System and method for determining whether an apparatus or an assembly process is acceptable
GB2525228B (en) * 2014-04-16 2020-05-06 Smiths Heimann Sas Identification or determination of a load based on texture
WO2016003547A1 (en) 2014-06-30 2016-01-07 American Science And Engineering, Inc. Rapidly relocatable modular cargo container scanner
US20160027303A1 (en) * 2014-07-22 2016-01-28 Advanced Technology & Research Corp. Active detection system for low ground clearance vehicles
CN104112190B (en) * 2014-07-23 2018-07-31 清华大学 Customs is in way supervisory systems and method
CN105809655B (en) * 2014-12-30 2021-06-29 清华大学 Vehicle inspection method and system
CN105808555B (en) * 2014-12-30 2019-07-26 清华大学 Check the method and system of cargo
CA2981978C (en) * 2015-04-16 2021-02-09 United Parcel Service Of America, Inc. Enhanced multi-layer cargo screening system, computer program product, and method of using the same
US10345479B2 (en) 2015-09-16 2019-07-09 Rapiscan Systems, Inc. Portable X-ray scanner
US9989669B2 (en) * 2015-10-23 2018-06-05 The United States of America, as Represented by the Secretary of Homeland Security Intermodal container scanning
US20170230620A1 (en) * 2016-02-04 2017-08-10 Panasonic Intellectual Property Management Co., Ltd. Container use state determining device
US9984552B2 (en) 2016-02-11 2018-05-29 American Rebel, Inc. Firearm detecting luggage
KR101778503B1 (en) 2016-03-25 2017-09-14 한국해양과학기술원 Method for providing information of cargo inspection, apparatus performing the same and storage media storing the same
EP3321845A1 (en) * 2016-11-14 2018-05-16 Nederlandse Organisatie voor toegepast- natuurwetenschappelijk onderzoek TNO Ship identification system and method
CN110199373B (en) 2017-01-31 2021-09-28 拉皮斯坎系统股份有限公司 High power X-ray source and method of operation
FR3064069B1 (en) * 2017-03-20 2019-06-07 Safran NON-DESTRUCTIVE CONTROL OF AERONAUTICAL PARTS BY A RADIOGRAPHY SYSTEM
CN108734183A (en) * 2017-04-14 2018-11-02 清华大学 Inspection method and inspection equipment
CN108876230A (en) * 2017-05-12 2018-11-23 菜鸟智能物流控股有限公司 Boxing method, boxing scheme generation method, boxing system and server
US10572963B1 (en) 2017-07-14 2020-02-25 Synapse Technology Corporation Detection of items
US10210631B1 (en) 2017-08-18 2019-02-19 Synapse Technology Corporation Generating synthetic image data
US11144523B2 (en) * 2017-11-17 2021-10-12 Battelle Memorial Institute Methods and data structures for efficient cross-referencing of physical-asset spatial identifiers
KR101969022B1 (en) * 2017-12-29 2019-04-15 (주)제이엘케이인스펙션 Image analysis apparatus and method
US10452959B1 (en) 2018-07-20 2019-10-22 Synapse Tehnology Corporation Multi-perspective detection of objects
JP2020035086A (en) * 2018-08-28 2020-03-05 富士ゼロックス株式会社 Information processing system, information processing apparatus and program
CN110020586B (en) * 2018-12-29 2021-01-29 北京品恩科技股份有限公司 Personnel security check management system based on big data
US11847606B2 (en) 2019-04-30 2023-12-19 Blackberry Limited System and method for cargo transportation unit tracking and monitoring device verification
US11010605B2 (en) 2019-07-30 2021-05-18 Rapiscan Laboratories, Inc. Multi-model detection of objects
US20230045129A1 (en) 2019-12-25 2023-02-09 Nec Corporation Object detection apparatus, system, and method, data conversion unit, and non-transitory computer readable medium
US11212902B2 (en) 2020-02-25 2021-12-28 Rapiscan Systems, Inc. Multiplexed drive systems and methods for a multi-emitter X-ray source
CN113643360A (en) * 2020-05-11 2021-11-12 同方威视技术股份有限公司 Target object positioning method, apparatus, device, medium, and program product
US11193898B1 (en) 2020-06-01 2021-12-07 American Science And Engineering, Inc. Systems and methods for controlling image contrast in an X-ray system
CN113830510B (en) * 2020-06-23 2023-05-23 同方威视技术股份有限公司 Conveying device and inspection system
AU2022226583A1 (en) 2021-02-23 2023-09-07 Rapiscan Systems, Inc. Systems and methods for eliminating cross-talk in scanning systems having multiple x-ray sources

Citations (99)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4573198A (en) * 1982-12-27 1986-02-25 Litton Systems, Inc. Optical image processing/pattern recognition system
US4637056A (en) * 1983-10-13 1987-01-13 Battelle Development Corporation Optical correlator using electronic image preprocessing
US4722096A (en) * 1985-03-04 1988-01-26 Heimann Gmbh Apparatus for transradiating objects on a conveyor path
US4724543A (en) * 1985-09-10 1988-02-09 Beckman Research Institute, City Of Hope Method and apparatus for automatic digital image analysis
US4725733A (en) * 1983-07-18 1988-02-16 The United States Of America As Represented By The Secretary Of The Navy Apparatus and method for remotely detecting the presence of chemical warfare nerve agents in an air-released thermal cloud
US4795253A (en) * 1987-04-24 1989-01-03 Mobay Corporation Remote sensing gas analyzer
US5079698A (en) * 1989-05-03 1992-01-07 Advanced Light Imaging Technologies Ltd. Transillumination method apparatus for the diagnosis of breast tumors and other breast lesions by normalization of an electronic image of the breast
US5091924A (en) * 1989-08-09 1992-02-25 Heimann Gmbh Apparatus for the transillumination of articles with a fan-shaped radiation beam
US5179581A (en) * 1989-09-13 1993-01-12 American Science And Engineering, Inc. Automatic threat detection based on illumination by penetrating radiant energy
US5181234A (en) * 1990-08-06 1993-01-19 Irt Corporation X-ray backscatter detection system
US5283641A (en) * 1954-12-24 1994-02-01 Lemelson Jerome H Apparatus and methods for automated analysis
US5379336A (en) * 1992-05-21 1995-01-03 Hughes Aircraft Company Hybridized semiconductor pixel detector arrays for use in digital radiography
US5379334A (en) * 1992-07-20 1995-01-03 Heimann Systems Gmbh & Co. Kg Object testing system
US5481584A (en) * 1994-11-23 1996-01-02 Tang; Jihong Device for material separation using nondestructive inspection imaging
US5481622A (en) * 1994-03-01 1996-01-02 Rensselaer Polytechnic Institute Eye tracking apparatus and method employing grayscale threshold values
US5483569A (en) * 1991-10-25 1996-01-09 American Science And Engineering Inspection system with no intervening belt
US5485312A (en) * 1993-09-14 1996-01-16 The United States Of America As Represented By The Secretary Of The Air Force Optical pattern recognition system and method for verifying the authenticity of a person, product or thing
US5490218A (en) * 1990-08-10 1996-02-06 Vivid Technologies, Inc. Device and method for inspection of baggage and other objects
US5493444A (en) * 1994-04-28 1996-02-20 The United States Of America As Represented By The Secretary Of The Air Force Photorefractive two-beam coupling nonlinear joint transform correlator
US5595767A (en) * 1992-03-27 1997-01-21 Universite Joseph Fourier Three-dimensional energy distribution device
US5600700A (en) * 1995-09-25 1997-02-04 Vivid Technologies, Inc. Detecting explosives or other contraband by employing transmitted and scattered X-rays
US5600303A (en) * 1993-01-15 1997-02-04 Technology International Incorporated Detection of concealed explosives and contraband
US5600485A (en) * 1991-04-23 1997-02-04 Seiko Instruments Inc. Optical pattern recognition system method of ferroelectric liquid crystal spatial light modulator
US5604634A (en) * 1993-09-20 1997-02-18 The United States Of America As Represented By The Secretary Of The Air Force All optical nonlinear joint fourier transform correlator
US5706816A (en) * 1995-07-17 1998-01-13 Aloka Co., Ltd. Image processing apparatus and image processing method for use in the image processing apparatus
US5862258A (en) * 1996-11-04 1999-01-19 The United States Of America As Represented By The Secretary Of The Army Method for distinguishing between objects using mace filters
US5862198A (en) * 1997-09-30 1999-01-19 Siemens Corporate Research, Inc. Pre-calculated hitlist for reducing run-time processing of an exact cone beam reconstruction algorithm
US5864598A (en) * 1997-04-21 1999-01-26 General Electric Company Methods and apparatus for scanning an object in a computed tomography system
US5866907A (en) * 1993-10-12 1999-02-02 Biotraces, Inc. Ultralow background multiple photon detector
US6011620A (en) * 1998-04-06 2000-01-04 Northrop Grumman Corporation Method and apparatus for the automatic inspection of optically transmissive planar objects
US6018561A (en) * 1998-07-27 2000-01-25 Siemens Corporate Research, Inc. Mask boundary correction in a cone beam imaging system using simplified filtered backprojection image reconstruction
US6018562A (en) * 1995-11-13 2000-01-25 The United States Of America As Represented By The Secretary Of The Army Apparatus and method for automatic recognition of concealed objects using multiple energy computed tomography
US6031890A (en) * 1993-04-05 2000-02-29 Heimann Systems Gmbh & Co. Kg Monitoring installation for containers and trucks
US6175417B1 (en) * 1998-02-13 2001-01-16 Micron Technology, Inc. Method and apparatus for detecting defects in the manufacture of an electronic device
US6175613B1 (en) * 1997-07-11 2001-01-16 Ge Medical Systems S.A. Method for processing a sequence of radiological images of an object
US6185272B1 (en) * 1999-03-15 2001-02-06 Analogic Corporation Architecture for CT scanning system
US6188747B1 (en) * 1998-01-24 2001-02-13 Heimann Systems Gmbh X-ray generator
US6195413B1 (en) * 1998-06-12 2001-02-27 Heimann Systems Gmbh Method and arrangement for detecting X-rays
US6195444B1 (en) * 1999-01-12 2001-02-27 Analogic Corporation Apparatus and method for detecting concealed objects in computed tomography data
US6335742B1 (en) * 1997-07-24 2002-01-01 Ricoh Company, Ltd. Apparatus for file management and manipulation using graphical displays and textual descriptions
US20020001366A1 (en) * 2000-03-31 2002-01-03 Toshikazu Tamura Imaging apparatus, imaging method, and storage medium
US20020015475A1 (en) * 1998-09-11 2002-02-07 Kazuhiro Matsumoto A grid holding frame, which provides grid information to-ray image processing apparatus
US20020016546A1 (en) * 2000-06-22 2002-02-07 Marino Cerofolini Method and apparatus for ultrasound imaging, particularly for three-dimensional imaging
US20020017620A1 (en) * 2000-08-04 2002-02-14 Nikon Corporation Surface inspection apparatus
US20020018199A1 (en) * 1999-11-04 2002-02-14 Martin Blumenfeld Imaging of biological samples using electronic light detector
US20020024016A1 (en) * 2000-07-28 2002-02-28 Tadao Endo Photoelectric conversion device, radiation detection apparatus, image processing system, and driving method thereof
US6502984B2 (en) * 1997-01-17 2003-01-07 Canon Kabushiki Kaisha Radiographic apparatus
US6507025B1 (en) * 1995-10-23 2003-01-14 Science Applications International Corporation Density detection using real time discrete photon counting for fast moving targets
US6507278B1 (en) * 2000-06-28 2003-01-14 Adt Security Services, Inc. Ingress/egress control system for airport concourses and other access controlled areas
US20030012420A1 (en) * 2001-06-12 2003-01-16 Applied Imaging Corporation Automated scanning method for pathology samples
US20030023592A1 (en) * 2001-07-27 2003-01-30 Rapiscan Security Products (Usa), Inc. Method and system for certifying operators of x-ray inspection systems
US20030024315A1 (en) * 2000-08-31 2003-02-06 Harald Merkel Device, method and system for measuring the distribution of selected properties in a material
US20030031289A1 (en) * 2001-07-18 2003-02-13 Jiang Hsieh Methods and apparatus for FOV-dependent aliasing artifact reduction
US20030031291A1 (en) * 2000-04-18 2003-02-13 Yoshimichi Yamamoto X-ray apparatus
US20030036006A1 (en) * 2001-03-26 2003-02-20 Shipley Company, L.L.C. Methods for monitoring photoresists
US6526120B1 (en) * 1998-05-06 2003-02-25 Joseph N. Gray X-ray flow rate measurement system for materials, including agricultural materials and food products
US6525331B1 (en) * 1999-12-01 2003-02-25 Nanyang Technological University Ball grid array (BGA) package on-line non-contact inspection method and system
US20030038945A1 (en) * 2001-08-17 2003-02-27 Bernward Mahner Method and apparatus for testing objects
US20040013239A1 (en) * 2002-03-13 2004-01-22 Breakaway Imaging, Llc Systems and methods for quasi-simultaneous multi-planar x-ray imaging
US20040012853A1 (en) * 2002-05-13 2004-01-22 Garcia Juan Manuel Bueno Method and apparatus for imaging using polarimetry and matrix based image reconstruction
US20040017883A1 (en) * 2002-07-22 2004-01-29 Tarou Takagi CT apparatus, CT imaging method and method of providing service using the same
US20040017935A1 (en) * 2002-07-25 2004-01-29 Avinash Gopal B. Temporal image comparison method
US20040017882A1 (en) * 2002-03-06 2004-01-29 National Institute Of Advanced Industrial Science And Technology Oblique view cone beam CT system
US20040017888A1 (en) * 2002-07-24 2004-01-29 Seppi Edward J. Radiation scanning of objects for contraband
US20040016271A1 (en) * 2002-07-23 2004-01-29 Kirti Shah Portable inspection containers
US20040022425A1 (en) * 2002-07-31 2004-02-05 Ge Medical Systems Global Technology Company Llc Temporal image comparison method
US20040027127A1 (en) * 2000-08-22 2004-02-12 Mills Randell L 4 dimensinal magnetic resonance imaging
US20040037462A1 (en) * 1998-08-24 2004-02-26 Lewis Meirion F. Pattern recognition and other inventions
US6839403B1 (en) * 2000-07-24 2005-01-04 Rapiscan Security Products (Usa), Inc. Generation and distribution of annotation overlays of digital X-ray images for security systems
US6837422B1 (en) * 2000-09-01 2005-01-04 Heimann Systems Gmbh Service unit for an X-ray examining device
US6839406B2 (en) * 1999-11-13 2005-01-04 Smiths Heimann Gmbh Apparatus and method for detecting items in objects
US20050008119A1 (en) * 2001-04-03 2005-01-13 L-3 Communications Security And Detections Systems Remote baggage screening system, software and method
US20050008203A1 (en) * 2003-07-09 2005-01-13 General Electric Company System and method for real-time processing and display of digital medical images
US6843599B2 (en) * 2002-07-23 2005-01-18 Rapiscan, Inc. Self-contained, portable inspection system and method
US20050018812A1 (en) * 2001-12-11 2005-01-27 Wolfs Peter Bas Anton X-ray examination apparatus and method
US20050017181A1 (en) * 1999-04-16 2005-01-27 The Regents Of The University Of Michigan Method and system for high-speed, 3D imaging of optically-invisible radiation and detector and array of such detectors for use therein
US20050025280A1 (en) * 2002-12-10 2005-02-03 Robert Schulte Volumetric 3D x-ray imaging system for baggage inspection including the detection of explosives
US20050025350A1 (en) * 2003-07-28 2005-02-03 Engelbart Roger W. Systems and method for identifying foreign objects and debris (FOD) and defects during fabrication of a composite structure
US20050031069A1 (en) * 2003-08-07 2005-02-10 General Electric Company System and method for detecting an object by dynamically adjusting computational load
US6856272B2 (en) * 2002-08-28 2005-02-15 Personnel Protection Technoloties Llc Methods and apparatus for detecting threats in different areas
US6982643B2 (en) * 2002-10-08 2006-01-03 Freight Glove Technologies, Llc Cargo security method and apparatus
US20060000911A1 (en) * 2002-05-07 2006-01-05 Amit Stekel Automatic certification, identification and tracking of remote objects in relative motion
US20060002504A1 (en) * 2004-06-30 2006-01-05 Bruno Kristiaan Bernard De Man System and method for boundary estimation using CT metrology
US20060008054A1 (en) * 2004-07-12 2006-01-12 Hiromu Ohara Radiographic image capturing system and radiographic image capturing method
US20060009269A1 (en) * 2004-07-08 2006-01-12 Hoskinson Reed L Method and apparatus for monitoring characteristics of a flow path having solid components flowing therethrough
US20060013455A1 (en) * 2002-12-17 2006-01-19 Qinetiq Limited Image analysis
US20060013464A1 (en) * 2004-05-26 2006-01-19 Guardian Technologies International, Inc. System and method for identifying objects of interest in image data
US6990171B2 (en) * 2003-10-27 2006-01-24 General Electric Company System and method of determining a user-defined region-of-interest of an imaging subject for x-ray flux management control
US20060017605A1 (en) * 2003-08-12 2006-01-26 Trex Enterprises Corp. Millimeter wave portal imaging system
US20060018517A1 (en) * 2000-09-15 2006-01-26 Canon Kabushiki Kaisha Image processing methods and apparatus for detecting human eyes, human face, and other objects in an image
US20060018434A1 (en) * 2004-07-20 2006-01-26 Jacobs Alan M Radiography by selective detection of scatter field velocity components
US20060019409A1 (en) * 2000-10-13 2006-01-26 Chemimage Corporation Spectroscopic methods for component particle analysis
US20060034503A1 (en) * 2004-08-12 2006-02-16 Fuji Photo Film Co., Ltd. Medical image processing system
US20060036167A1 (en) * 2004-07-03 2006-02-16 Shina Systems Ltd. Vascular image processing
US20060056584A1 (en) * 2002-07-23 2006-03-16 Bryan Allman Self-contained mobile inspection system and method
US20070003122A1 (en) * 2005-06-29 2007-01-04 General Electric Company Method for quantifying an object in a larger structure using a reconstructed image
US7164750B2 (en) * 2003-03-26 2007-01-16 Smiths Detection, Inc. Non-destructive inspection of material in container
US7183906B2 (en) * 2004-03-19 2007-02-27 Lockheed Martin Corporation Threat scanning machine management system
US7882141B2 (en) * 2004-02-20 2011-02-01 Fujifilm Corporation Digital pictorial book sytstem, pictorial book searching method, and machine readable medium storing thereon pictorial book searching method

Family Cites Families (507)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4338626A (en) 1963-03-11 1982-07-06 Lemelson Jerome H Scanning apparatus and method
DE3019435A1 (en) 1980-05-21 1981-11-26 SIEMENS AG AAAAA, 1000 Berlin und 8000 München METHOD FOR PROCESSING ULTRASONIC ECHOSIGNALS FROM OBJECTS REFLECTING BOTH DIRECTLY AS WELL AS NON-DIRECTIVE, IN PARTICULAR FOR ULTRASONIC IMAGE PROCESSING IN THE FIELD OF FABRIC OR TISSUE EXAMINATION
US4379348A (en) * 1980-09-23 1983-04-05 North American Philips Corporation X-Ray security screening system having magnification
JPS6058504B2 (en) 1980-11-17 1985-12-20 株式会社東芝 reconstruction device
US4383327A (en) 1980-12-01 1983-05-10 University Of Utah Radiographic systems employing multi-linear arrays of electronic radiation detectors
US4509075A (en) 1981-06-15 1985-04-02 Oxbridge, Inc. Automatic optical inspection apparatus
US4480899A (en) 1981-10-08 1984-11-06 Xerox Corporation Two dimensional electro-optic modulator and applications therefor
US5297222A (en) 1982-05-04 1994-03-22 Hitachi, Ltd. Image processing apparatus
US4470303A (en) 1982-09-20 1984-09-11 General Electric Company Quantitative volume backscatter imaging
EP0113677A3 (en) 1983-01-08 1989-02-01 Fuji Photo Film Co., Ltd. Signal processing method in autoradiography
EP0113676A3 (en) 1983-01-08 1989-02-08 Fuji Photo Film Co., Ltd. Signal processing method in autoradiography
US4612666A (en) 1984-07-05 1986-09-16 The United States Of America As Represented By The Secretary Of The Navy Automatic pattern recognition apparatus
US4653109A (en) * 1984-07-30 1987-03-24 Lemelson Jerome H Image analysis system and method
JPS6145737A (en) 1984-08-08 1986-03-05 株式会社東芝 X-ray examination apparatus
GB8424084D0 (en) 1984-09-24 1984-10-31 Sira Ltd Inspection apparatus
US4819188A (en) 1984-11-22 1989-04-04 Kabushiki Kaisha Toshiba Image processing apparatus
US4651297A (en) 1984-11-28 1987-03-17 General Dynamics, Pomona Division Two-dimensional image correlator
CN1003542B (en) 1985-03-04 1989-03-08 海曼股份公司 X-ray scanner
CN85107860A (en) 1985-04-03 1986-10-01 海曼股份公司 The X-ray scanner
DE3650496T2 (en) * 1985-04-17 1996-10-31 Hitachi Ltd Image processing device
US4651957A (en) * 1985-06-20 1987-03-24 The United States Of America As Represented By The Secretary Of The Air Force Large capacity tow/release apparatus
DE3530938A1 (en) 1985-08-29 1987-03-12 Heimann Gmbh LUGGAGE TEST SYSTEM
DE3530955A1 (en) 1985-08-29 1987-03-05 Heimann Gmbh LUGGAGE TEST SYSTEM
DE3544182A1 (en) 1985-12-13 1987-06-19 Heimann Gmbh CONTACT IMAGE SENSOR LINE
DE3764315D1 (en) 1986-05-28 1990-09-20 Heimann Gmbh X-RAY SCANNER.
US4901084A (en) 1988-04-19 1990-02-13 Millitech Corporation Object detection and location system
US4916722A (en) 1986-06-26 1990-04-10 Kabushiki Kaisha Toshiba X-ray image processing apparatus
DE3762944D1 (en) 1986-07-14 1990-07-05 Heimann Gmbh X-RAY SCANNER.
DE8703674U1 (en) 1987-03-11 1988-07-14 Heimann Gmbh, 6200 Wiesbaden, De
US5063602A (en) 1987-04-14 1991-11-05 Nippon Sheet Glass Co., Ltd. Image correlation calculation apparatus
GB8713819D0 (en) 1987-06-12 1987-12-16 Smiths Industries Plc Information processing systems
US4955060A (en) 1987-07-02 1990-09-04 Nippon Sheet Glass Co., Ltd. Image recognition apparatus
US4849912A (en) 1987-08-03 1989-07-18 Vexcel Corporation Stereo mensuration method
US4838644A (en) 1987-09-15 1989-06-13 The United States Of America As Represented By The United States Department Of Energy Position, rotation, and intensity invariant recognizing method
DE8717508U1 (en) 1987-10-19 1989-01-05 Heimann Gmbh, 6200 Wiesbaden, De
US4832447A (en) 1987-12-04 1989-05-23 Board Of Trustees Operating Michigan State University Joint transform image correlation using a nonlinear spatial light modulator at the fourier plane
US4887899A (en) 1987-12-07 1989-12-19 Hung Yau Y Apparatus and method for electronic analysis of test objects
JP2633607B2 (en) 1988-03-08 1997-07-23 株式会社東芝 X-ray CT scanner
US4869574A (en) 1988-05-13 1989-09-26 The United States Of America As Represented By The Secretary Of The Army Hybrid optical correlator
US5109276A (en) 1988-05-27 1992-04-28 The University Of Connecticut Multi-dimensional multi-spectral imaging system
IL87570A (en) 1988-08-26 1991-12-12 Israel Atomic Energy Comm Method and apparatus for the detection and imaging of heavy metals
JPH0830830B2 (en) 1988-09-07 1996-03-27 セイコー電子工業株式会社 Optical correlation processor
US5020111A (en) 1988-10-14 1991-05-28 The United States Of America As Represented By The Secretary Of The Army Spatial symmetry cueing image processing method and apparatus
GB8826550D0 (en) 1988-11-14 1989-05-17 Smiths Industries Plc Image processing apparatus and methods
US5353799A (en) 1991-01-22 1994-10-11 Non Invasive Technology, Inc. Examination of subjects using photon migration with high directionality techniques
ATE152339T1 (en) 1989-02-23 1997-05-15 Teijin Ltd METHOD FOR MEASURING A BONE SHAPE, DEVICE THEREFOR AND SYSTEM FOR BONE EVALUATION
US5132998A (en) 1989-03-03 1992-07-21 Matsushita Electric Industrial Co., Ltd. Radiographic image processing method and photographic imaging apparatus therefor
JP2527807B2 (en) 1989-05-09 1996-08-28 住友大阪セメント株式会社 Optical associative identification device
EP0403305B1 (en) 1989-06-16 1996-09-18 Seiko Instruments Inc. Optical pattern recognition apparatus
US5850465A (en) 1989-06-26 1998-12-15 Fuji Photo Film Co., Ltd. Abnormnal pattern detecting or judging apparatus, circular pattern judging apparatus, and image finding apparatus
US5132842A (en) 1989-07-21 1992-07-21 Rockwell International Corporation Optical image transformation system
EP0412190B1 (en) 1989-08-09 1993-10-27 Heimann Systems GmbH & Co. KG Device for transmitting fan-shaped radiation through objects
US5132811A (en) 1989-08-10 1992-07-21 Seiko Instruments Inc. Holographic operating optical apparatus
US5022062A (en) 1989-09-13 1991-06-04 American Science And Engineering, Inc. Automatic threat detection based on illumination by penetrating radiant energy using histogram processing
US5257322A (en) 1989-09-20 1993-10-26 Agency Of Industrial Science And Technology Method and apparatus for pattern recognition and display with optical correlator
US5198669A (en) * 1989-09-20 1993-03-30 Fujitsu Limited Digital X-ray image processing apparatus
US5056130A (en) 1989-10-06 1991-10-08 The United States Of America As Represented By The Administrator, National Aeronautics And Space Administration Computerized tomography calibrator
JPH0670798B2 (en) 1989-11-20 1994-09-07 住友セメント株式会社 Optical pattern recognition method
US5107351A (en) 1990-02-16 1992-04-21 Grumman Aerospace Corporation Image enhanced optical correlator system
US5323472A (en) 1990-03-27 1994-06-21 The Boeing Company Optical image analyzer using optical correlation and opto-electronic feedback
JP2551497B2 (en) 1990-06-08 1996-11-06 シャープ株式会社 Image processing device
US5138167A (en) 1991-01-23 1992-08-11 University Of Alabama - Birmingham Split energy radiation detection
US5257085A (en) 1991-04-24 1993-10-26 Kaman Aerospace Corporation Spectrally dispersive imaging lidar system
US5528702A (en) 1991-05-31 1996-06-18 Seiko Instruments Inc. Optical pattern recognition apparatus with coordinate conversion function
US5365560A (en) 1991-07-29 1994-11-15 General Electric Company Method and apparatus for acquiring a uniform distribution of radon data sufficiently dense to constitute a complete set for exact image reconstruction of an object irradiated by a cone beam source
JP3146534B2 (en) 1991-08-02 2001-03-19 株式会社日立製作所 Nuclear magnetic resonance equipment
US5680525A (en) 1991-08-08 1997-10-21 Hitachi, Ltd. Three-dimensional graphic system with an editor for generating a textrue mapping image
US5367552A (en) 1991-10-03 1994-11-22 In Vision Technologies, Inc. Automatic concealed object detection system having a pre-scan stage
GB9122843D0 (en) * 1991-10-28 1991-12-11 Imperial College Method and apparatus for image processing
JP2849964B2 (en) 1991-12-26 1999-01-27 富士写真フイルム株式会社 Image processing method and apparatus
GB9200828D0 (en) 1992-01-15 1992-03-11 Image Research Ltd Improvements in and relating to material identification using x-rays
CA2130340C (en) 1992-02-18 2000-06-06 Shih-Jong James Lee Method for identifying objects using data processing techniques
US5375156A (en) 1992-03-31 1994-12-20 Siemens Medical Systems, Inc. Method and apparatus for 3-D computer tomography
US5371542A (en) 1992-06-23 1994-12-06 The United States Of America As Represented By The Secretary Of The Navy Dual waveband signal processing system
JP2940317B2 (en) 1992-06-24 1999-08-25 三菱電機株式会社 Image processing device
US5268967A (en) 1992-06-29 1993-12-07 Eastman Kodak Company Method for automatic foreground and background detection in digital radiographic images
US5329310A (en) 1992-06-30 1994-07-12 The Walt Disney Company Method and apparatus for controlling distortion of a projected image
US5757981A (en) 1992-08-20 1998-05-26 Toyo Ink Mfg. Co., Ltd. Image inspection device
US5327286A (en) 1992-08-31 1994-07-05 Texas Instruments Incorporated Real time optical correlation system
US5345081A (en) 1992-09-10 1994-09-06 Penetect, Inc. Pit detector and method
US6005916A (en) 1992-10-14 1999-12-21 Techniscan, Inc. Apparatus and method for imaging with wavefields using inverse scattering techniques
US5953452A (en) 1992-11-05 1999-09-14 The Johns Hopkins University Optical-digital method and processor for pattern recognition
US5376796A (en) 1992-11-25 1994-12-27 Adac Laboratories, Inc. Proximity detector for body contouring system of a medical camera
US5430787A (en) 1992-12-03 1995-07-04 The United States Of America As Represented By The Secretary Of Commerce Compton scattering tomography
US5311359A (en) 1992-12-24 1994-05-10 Litton Systems, Inc. Reflective optical correlator with a folded asymmetrical optical axis
US7241569B2 (en) 1993-01-18 2007-07-10 Olympus Corporation Method and a device for the evaluation of biopolymer fitness
DE4306187A1 (en) 1993-02-27 1994-09-01 Industrieanlagen Betriebsges Method and arrangement of devices for protecting buildings and people against violent offenders
US5777742A (en) 1993-03-11 1998-07-07 Environmental Research Institute Of Michigan System and method for holographic imaging with discernible image of an object
US5754621A (en) 1993-03-15 1998-05-19 Hitachi, Ltd. X-ray inspection method and apparatus, prepreg inspecting method, and method for fabricating multi-layer printed circuit board
CH693968A5 (en) 1993-04-21 2004-05-14 Fraunhofer Ges Forschung Method and apparatus for the Topographiepruefung of surfaces.
EP0696236B1 (en) 1993-04-30 1996-10-30 Robert Prof. Dr. Massen Process and device for sorting materials
FR2705786B1 (en) 1993-05-28 1995-08-25 Schlumberger Ind Sa Method and device for recognizing certain materials in the composition of an object.
US5420788A (en) 1993-08-09 1995-05-30 General Electric Company Method for processing data in 2D and 3D computed X-ray tomography
JP3326902B2 (en) 1993-09-10 2002-09-24 株式会社日立製作所 Pattern detection method, pattern detection apparatus, and projection exposure apparatus using the same
CA2132138C (en) 1993-09-29 2004-01-06 Shih-Ping Wang Computer-aided diagnosis system and method
US5619596A (en) 1993-10-06 1997-04-08 Seiko Instruments Inc. Method and apparatus for optical pattern recognition
AU700802B2 (en) 1993-10-29 1999-01-14 Trustees Of The University Of Pennsylvania, The Object imaging using diffuse light
US6049381A (en) 1993-10-29 2000-04-11 The United States Of America As Represented By The Secretary Of The Navy Real time suspended particle monitor
US5910765A (en) 1993-11-02 1999-06-08 Advanced Optical Controls, Inc. Sensor module
DE4410603C1 (en) 1994-03-26 1995-06-14 Jenoptik Technologie Gmbh Detecting faults during inspection of masks, LCDs, circuit boards and semiconductor wafers
US5428657A (en) 1994-03-22 1995-06-27 Georgia Tech Research Corporation X-ray monitoring system
US5580471A (en) 1994-03-30 1996-12-03 Panasonic Technologies, Inc. Apparatus and method for material treatment and inspection using fiber-coupled laser diode
US5418380A (en) 1994-04-12 1995-05-23 Martin Marietta Corporation Optical correlator using ferroelectric liquid crystal spatial light modulators and Fourier transform lenses
JP3159869B2 (en) 1994-05-09 2001-04-23 松下電器産業株式会社 Thermal object detection device and measurement method
US5546189A (en) 1994-05-19 1996-08-13 View Engineering, Inc. Triangulation-based 3D imaging and processing method and system
US6800452B1 (en) 1994-08-08 2004-10-05 Science Applications International Corporation Automated methods for simultaneously performing a plurality of signal-based assays
US6060677A (en) 1994-08-19 2000-05-09 Tiedemanns-Jon H. Andresen Ans Determination of characteristics of material
JP3449791B2 (en) 1994-08-23 2003-09-22 理化学研究所 Imaging method and imaging apparatus
US5815264A (en) 1994-09-21 1998-09-29 Laser Sensor Technology, Inc System for acquiring an image of a multi-phase fluid by measuring backscattered light
US5519225A (en) 1994-10-03 1996-05-21 General Electric Company System and method for using a dual modality detector for inspecting objects
US5841907A (en) 1994-11-14 1998-11-24 The University Of Connecticut Spatial integrating optical correlator for verifying the authenticity of a person, product or thing
US6487307B1 (en) 1994-11-30 2002-11-26 Isoa, Inc. System and method of optically inspecting structures on an object
US5506880A (en) 1994-12-16 1996-04-09 Morton International, Inc. X-ray inspection system and method
CA2208576A1 (en) 1994-12-23 1996-07-04 Digirad Semiconductor gamma-ray camera and medical imaging system
EP0726060B1 (en) 1995-01-23 2003-09-03 Fuji Photo Film Co., Ltd. Apparatus for computer aided diagnosis
US6070583A (en) 1995-02-21 2000-06-06 Massachusetts Institute Of Technology Optical imaging of tissue using inelastically scattered light
DE19509007C2 (en) 1995-03-13 2001-07-05 Siemens Ag C-arm X-ray diagnostic device for creating slice images
DE19510168C2 (en) 1995-03-21 2001-09-13 Heimann Systems Gmbh & Co Method and device for determining crystalline and polycrystalline materials in an examination area
US5756875A (en) 1995-04-14 1998-05-26 The University Of Rochester Thin film phantoms and phantom systems
US5703921A (en) 1995-05-30 1997-12-30 Kabushiki Kaisha Toshiba X-ray computed tomography apparatus
JP3869005B2 (en) 1995-06-22 2007-01-17 3ディブイ・システムズ・リミテッド Telecentric stereoscopic camera and method
JP3140664B2 (en) 1995-06-30 2001-03-05 松下電器産業株式会社 Foreign matter inspection method and apparatus
DE19532965C2 (en) 1995-09-07 1998-07-16 Heimann Systems Gmbh & Co X-ray inspection system for large-volume goods
US5642393A (en) 1995-09-26 1997-06-24 Vivid Technologies, Inc. Detecting contraband by employing interactive multiprobe tomography
JP3604467B2 (en) 1995-09-27 2004-12-22 株式会社東芝 Myocardial twist correction method
US7045787B1 (en) 1995-10-23 2006-05-16 Science Applications International Corporation Density detection using real time discrete photon counting for fast moving targets
DE69635101T2 (en) 1995-11-01 2006-06-01 Canon K.K. Method for extracting objects and image recording apparatus using this method
JPH09146228A (en) 1995-11-20 1997-06-06 Konica Corp Radiograph forming method
JP3441578B2 (en) 1995-11-22 2003-09-02 株式会社モリタ製作所 Dental panoramic radiography device
JPH09149902A (en) 1995-12-01 1997-06-10 Hitachi Medical Corp Tomography and tomograph
US5796868A (en) 1995-12-28 1998-08-18 Cognex Corporation Object edge point filtering system for machine vision
US5809171A (en) 1996-01-05 1998-09-15 Mcdonnell Douglas Corporation Image processing method and apparatus for correlating a test image with a template
US6058159A (en) * 1996-01-11 2000-05-02 Control Screening, L.L.C. Compact scanner apparatus and method
US5981949A (en) 1996-01-18 1999-11-09 The United States Of America As Represented By The Secretary Of The Air Force Locating defects in solid material
US5778046A (en) 1996-01-19 1998-07-07 The Regents Of The University Of California Automatic X-ray Beam Equalizer
AUPN800796A0 (en) 1996-02-09 1996-03-07 Unisearch Limited Visual inspection system for leather hide
US5764683B1 (en) 1996-02-12 2000-11-21 American Science & Eng Inc Mobile x-ray inspection system for large objects
CN1218377A (en) 1996-03-13 1999-06-02 模拟技术有限公司 Computed tomography ring suppression filter
JPH11511376A (en) 1996-03-13 1999-10-05 アナロジック コーポレーション Self-calibrating ring suppression filter for computer tomography
US6044170A (en) 1996-03-21 2000-03-28 Real-Time Geometry Corporation System and method for rapid shape digitizing and adaptive mesh generation
US5739539A (en) 1996-03-28 1998-04-14 Adac Laboratories Use of body boundary information to perform iterative reconstruction in medical imaging system
US5732529A (en) 1996-03-29 1998-03-31 Ethicon, Inc. Apparatus for feeding foil stock in a process for making sealed sterile packages
US5911139A (en) * 1996-03-29 1999-06-08 Virage, Inc. Visual image database search engine which allows for different schema
US5893095A (en) * 1996-03-29 1999-04-06 Virage, Inc. Similarity engine for content-based retrieval of images
US5642394A (en) * 1996-04-03 1997-06-24 American Science And Engineering, Inc. Sidescatter X-ray detection system
US6586193B2 (en) 1996-04-25 2003-07-01 Genicon Sciences Corporation Analyte assay using particulate labels
JP3562902B2 (en) 1996-04-26 2004-09-08 株式会社日立メディコ RF probe for magnetic resonance imaging equipment
US5699400A (en) * 1996-05-08 1997-12-16 Vivid Technologies, Inc. Operator console for article inspection systems
DE19619925C2 (en) 1996-05-17 1999-09-09 Sirona Dental Systems Gmbh X-ray diagnostic device for tomosynthesis
JPH09311109A (en) 1996-05-22 1997-12-02 Matsushita Electric Ind Co Ltd Defect inspection method and device utilizing light
US5815198A (en) 1996-05-31 1998-09-29 Vachtsevanos; George J. Method and apparatus for analyzing an image to detect and identify defects
US5930314A (en) 1996-05-31 1999-07-27 Massachusetts Institute Of Technology Coded aperture imaging
US5799100A (en) 1996-06-03 1998-08-25 University Of South Florida Computer-assisted method and apparatus for analysis of x-ray images using wavelet transforms
US6043870A (en) 1996-07-01 2000-03-28 Cybernet Systems Corporation Compact fiber optic electronic laser speckle pattern interferometer
US5638420A (en) 1996-07-03 1997-06-10 Advanced Research And Applications Corporation Straddle inspection system
US5838759A (en) * 1996-07-03 1998-11-17 Advanced Research And Applications Corporation Single beam photoneutron probe and X-ray imaging system for contraband detection and identification
AU3888497A (en) 1996-07-22 1998-02-10 American Science And Engineering Inc. System for rapid x-ray inspection of enclosures
US5943388A (en) 1996-07-30 1999-08-24 Nova R & D, Inc. Radiation detector and non-destructive inspection
US5960104A (en) 1996-08-16 1999-09-28 Virginia Polytechnic & State University Defect detection system for lumber
EP0825457A3 (en) 1996-08-19 2002-02-13 Analogic Corporation Multiple angle pre-screening tomographic systems and methods
US5974111A (en) * 1996-09-24 1999-10-26 Vivid Technologies, Inc. Identifying explosives or other contraband by employing transmitted or scattered X-rays
WO1998016817A1 (en) 1996-10-16 1998-04-23 Illinois Institute Of Technology Method for detecting an image of an object
US5668846A (en) 1996-10-18 1997-09-16 General Electric Company Methods and apparatus for scanning an object and displaying an image in a computed tomography system
WO1998020366A1 (en) 1996-11-08 1998-05-14 American Science And Engineering, Inc. Coded aperture x-ray imaging system
JPH10164437A (en) 1996-11-26 1998-06-19 Canon Inc X-ray image-pickup device and drive method for x-ray image-pickup element
KR100188712B1 (en) 1996-11-28 1999-06-01 이종구 Cross-sectional image apparatus and method for obtaining cross-sectional image using the same
IL119850A (en) 1996-12-17 2000-11-21 Prolaser Ltd Optical method and apparatus for detecting low frequency defects
US5748697A (en) 1996-12-20 1998-05-05 Siemens Corporate Research, Inc. Method and apparatus for eliminating boundary errors in cone beam imaging
US6057761A (en) 1997-01-21 2000-05-02 Spatial Dynamics, Ltd. Security system and method
US6480285B1 (en) 1997-01-28 2002-11-12 Zetetic Institute Multiple layer confocal interference microscopy using wavenumber domain reflectometry and background amplitude reduction and compensation
US5802134A (en) 1997-04-09 1998-09-01 Analogic Corporation Nutating slice CT image reconstruction apparatus and method
AUPO625497A0 (en) 1997-04-16 1997-05-15 Macquarie Research Limited Analysis of molecules
AU7171198A (en) 1997-04-30 1998-11-24 Foxboro Company, The Methods and systems for synchronizing processes executing on a digital data processing system
US6008496A (en) 1997-05-05 1999-12-28 University Of Florida High resolution resonance ionization imaging detector and method
US5909285A (en) 1997-05-05 1999-06-01 Beaty; Elwin M. Three dimensional inspection system
US5779641A (en) 1997-05-07 1998-07-14 General Electric Company Method and apparatus for three-dimensional ultrasound imaging by projecting filtered pixel data
US5877849A (en) 1997-05-12 1999-03-02 Advanced Optical Technologies, Llc Object detection system
US5926568A (en) 1997-06-30 1999-07-20 The University Of North Carolina At Chapel Hill Image object matching using core analysis and deformable shape loci
US6292260B1 (en) 1997-07-03 2001-09-18 Isoa, Inc. System and method of optically inspecting surface structures on an object
JPH1156828A (en) 1997-08-27 1999-03-02 Fuji Photo Film Co Ltd Abnormal shadow candidate detecting method and its device
US6081580A (en) 1997-09-09 2000-06-27 American Science And Engineering, Inc. Tomographic inspection system
US7028899B2 (en) 1999-06-07 2006-04-18 Metrologic Instruments, Inc. Method of speckle-noise pattern reduction and apparatus therefore based on reducing the temporal-coherence of the planar laser illumination beam before it illuminates the target object by applying temporal phase modulation techniques during the transmission of the plib towards the target
US5901196A (en) 1997-09-30 1999-05-04 Siemens Corporate Research, Inc. Reduction of hitlist size in spiral cone beam CT by use of local radon origins
US5901198A (en) 1997-10-10 1999-05-04 Analogic Corporation Computed tomography scanning target detection using target surface normals
US6256404B1 (en) 1997-10-10 2001-07-03 Analogic Corporation Computed tomography scanning apparatus and method using adaptive reconstruction window
US6149300A (en) 1997-10-17 2000-11-21 Welch Allyn, Inc. Intraoral imaging system
GB9726386D0 (en) 1997-12-12 1998-02-11 Univ Cambridge Tech Optical correlator
US6442288B1 (en) 1997-12-17 2002-08-27 Siemens Aktiengesellschaft Method for reconstructing a three-dimensional image of an object scanned in the context of a tomosynthesis, and apparatus for tomosynthesis
JP4497570B2 (en) 1998-01-22 2010-07-07 株式会社東芝 Diagnostic imaging equipment
US6035014A (en) 1998-02-11 2000-03-07 Analogic Corporation Multiple-stage apparatus and method for detecting objects in computed tomography data
US20030165213A1 (en) 1998-02-18 2003-09-04 Maglich Bogdan C. Method and apparatus for neutron microscopy with stoichiometric imaging
JP3385994B2 (en) * 1998-02-27 2003-03-10 株式会社ニコン Image detector
US6289235B1 (en) 1998-03-05 2001-09-11 Wake Forest University Method and system for creating three-dimensional images using tomosynthetic computed tomography
US6388788B1 (en) 1998-03-16 2002-05-14 Praelux, Inc. Method and apparatus for screening chemical compounds
DE19812055C2 (en) 1998-03-19 2002-08-08 Heimann Systems Gmbh & Co Image processing for material detection using X-rays
US6218943B1 (en) * 1998-03-27 2001-04-17 Vivid Technologies, Inc. Contraband detection and article reclaim system
US5881123A (en) 1998-03-31 1999-03-09 Siemens Corporate Research, Inc. Simplified cone beam image reconstruction using 3D backprojection
US6009142A (en) 1998-03-31 1999-12-28 Siemens Corporate Research, Inc. Practical cone beam image reconstruction using local regions-of-interest
US6094472A (en) 1998-04-14 2000-07-25 Rapiscan Security Products, Inc. X-ray backscatter imaging system including moving body tracking assembly
US6153873A (en) 1998-05-20 2000-11-28 E. I. Dupont De Numours And Company Optical probe having an imaging apparatus
US6088423A (en) 1998-06-05 2000-07-11 Vivid Technologies, Inc. Multiview x-ray based system for detecting contraband such as in baggage
US6621888B2 (en) 1998-06-18 2003-09-16 American Science And Engineering, Inc. X-ray inspection by coherent-scattering from variably disposed scatterers identified as suspect objects
JP4078716B2 (en) 1998-06-29 2008-04-23 ソニー株式会社 Image processing apparatus and method, and providing medium
US6080994A (en) 1998-07-30 2000-06-27 Litton Systems, Inc. High output reflective optical correlator having a folded optical axis using ferro-electric liquid crystal spatial light modulators
US6163403A (en) 1998-07-30 2000-12-19 Litton Systems, Inc. High output reflective optical correlator having a folded optical axis using grayscale spatial light modulators
US6899540B1 (en) 1998-07-30 2005-05-31 The United States Of America As Represented By The Secretary Of Transportation Threat image projection system
JP3299193B2 (en) 1998-08-21 2002-07-08 日本電気株式会社 Bump inspection method / apparatus, information storage medium
JP2000069243A (en) 1998-08-24 2000-03-03 Matsushita Electric Ind Co Ltd Image processing method and image processor
US6714623B2 (en) 1998-08-31 2004-03-30 Canon Kabushiki Kaisha Image collecting system
US6850597B2 (en) 1998-09-11 2005-02-01 Canon Kabushiki Kaisha X-ray image photographing apparatus and grid device
JP3619027B2 (en) 1998-09-30 2005-02-09 キヤノン株式会社 X-ray imaging apparatus, X-ray imaging system, X-ray image processing method, and computer-readable recording medium
US6078638A (en) 1998-09-30 2000-06-20 Siemens Corporate Research, Inc. Pixel grouping for filtering cone beam detector data during 3D image reconstruction
DE19848765C2 (en) 1998-10-22 2000-12-21 Brainlab Med Computersyst Gmbh Position verification in camera images
DE19849764B4 (en) 1998-10-28 2004-10-21 Siemens Ag Imaging diagnostic facility
US6278760B1 (en) 1998-11-13 2001-08-21 Fuji Photo Film Co., Ltd. Radiation image forming method and apparatus
US6887710B2 (en) 1998-11-13 2005-05-03 Mesosystems Technology, Inc. Robust system for screening mail for biological agents
US6236708B1 (en) 1998-11-25 2001-05-22 Picker International, Inc. 2D and 3D tomographic X-ray imaging using flat panel detectors
US6222902B1 (en) 1998-11-25 2001-04-24 Picker International, Inc. Real-time tomographic system with flat panel detectors
DE19855250A1 (en) 1998-11-30 2000-06-08 Heimann Systems Gmbh & Co Process for optimizing an X-ray image
US6421420B1 (en) 1998-12-01 2002-07-16 American Science & Engineering, Inc. Method and apparatus for generating sequential beams of penetrating radiation
DE69939621D1 (en) 1998-12-08 2008-11-06 Koninkl Philips Electronics Nv X-RAY EXAMINATION DEVICE CONTAINING AN OBJECT ABSORPTION PROPERTIES DEPENDENT BRIGHTNESS CONTROL
US6754374B1 (en) 1998-12-16 2004-06-22 Surgical Navigation Technologies, Inc. Method and apparatus for processing images with regions representing target objects
US6229872B1 (en) 1998-12-22 2001-05-08 United Technologies Corporation Method and apparatus for use in inspection of objects
US6373970B1 (en) 1998-12-29 2002-04-16 General Electric Company Image registration using fourier phase matching
WO2000038576A1 (en) 1998-12-30 2000-07-06 General Electric Company Image thickness selection for multislice imaging system
JP2000197627A (en) 1999-01-05 2000-07-18 Hitachi Medical Corp X-ray ct device
US6249341B1 (en) 1999-01-25 2001-06-19 Amnis Corporation Imaging and analyzing parameters of small moving objects such as cells
US6373979B1 (en) * 1999-01-29 2002-04-16 Lg Electronics, Inc. System and method for determining a level of similarity among more than one image and a segmented data structure for enabling such determination
TW418342B (en) 1999-02-02 2001-01-11 Samsung Electronics Co Ltd Sectional image photography system and method thereof
US6370222B1 (en) 1999-02-17 2002-04-09 Ccvs, Llc Container contents verification
JP3866431B2 (en) 1999-02-17 2007-01-10 株式会社東芝 X-ray CT system
US6272204B1 (en) 1999-02-23 2001-08-07 Cr Technology, Inc. Integrated X-ray and visual inspection systems
US7068825B2 (en) 1999-03-08 2006-06-27 Orametrix, Inc. Scanning system and calibration method for capturing precise three-dimensional information of objects
DE19910615C1 (en) 1999-03-10 2000-06-21 Heimann Systems Gmbh & Co Ergonomic operating station for x-ray equipment includes seat, monitor and control panel with individual adjustments allowing user of any size to customize settings for ideal posture, sitting or standing
FR2790851B1 (en) 1999-03-12 2001-06-08 Ge Medical Syst Sa METHOD FOR IMPROVING THE DETECTION OF ELEMENTS OF INTEREST IN A DIGITAL RADIOGRAPHIC IMAGE
US6448545B1 (en) 2000-01-18 2002-09-10 Syncrotronics Corp. Precision endoscopic imaging system
US6650779B2 (en) 1999-03-26 2003-11-18 Georgia Tech Research Corp. Method and apparatus for analyzing an image to detect and identify patterns
US6288974B1 (en) 1999-03-30 2001-09-11 The United States Of Americas As Represented By The Secretary Of The Navy System and method for enhancing detection of objects through an obscuring medium
DE19916664A1 (en) 1999-04-14 2000-10-19 Heimann Systems Gmbh & Co X-ray image processing method, involves checking coincidence of matching sides of image markings and ratio of common areas to achieve greater clarity by forming final summation marking
US6256370B1 (en) 2000-01-24 2001-07-03 General Electric Company Method and apparatus for performing tomosynthesis
JP4159701B2 (en) 1999-04-20 2008-10-01 富士フイルム株式会社 Evaluation method and apparatus for digital radiographic image
US6403960B1 (en) 1999-04-29 2002-06-11 Koninklijijke Philips Electronics N.V. Correction for spatial variations of deadtime of a monolithic scintillator based detector in a medical imaging system
US6292530B1 (en) 1999-04-29 2001-09-18 General Electric Company Method and apparatus for reconstructing image data acquired by a tomosynthesis x-ray imaging system
US6373916B1 (en) 1999-05-10 2002-04-16 Shimadzu Corporation X-ray CT apparatus
US6731819B1 (en) 1999-05-21 2004-05-04 Olympus Optical Co., Ltd. Optical information processing apparatus capable of various types of filtering and image processing
US6236704B1 (en) 1999-06-30 2001-05-22 Siemens Corporate Research, Inc. Method and apparatus using a virtual detector for three-dimensional reconstruction from x-ray images
US6919959B2 (en) 1999-06-30 2005-07-19 Masten Opto-Diagnostics Co. Digital spectral identifier-controller and related methods
US6813395B1 (en) * 1999-07-14 2004-11-02 Fuji Photo Film Co., Ltd. Image searching method and image processing method
US6233303B1 (en) 1999-07-21 2001-05-15 Siemens Corporate Research, Inc. Method and apparatus for reducing X-ray dosage in a spiral scan cone beam CT imaging system
US6785410B2 (en) * 1999-08-09 2004-08-31 Wake Forest University Health Sciences Image reporting method and system
US6744909B1 (en) 1999-08-19 2004-06-01 Physical Optics Corporation Authentication system and method
DE19943183A1 (en) 1999-09-09 2001-03-15 Heimann Systems Gmbh & Co Method for color matching an image, in particular an X-ray image
DE19959081A1 (en) 1999-09-09 2001-03-22 Heimann Systems Gmbh & Co Process for image management of X-ray images
US6473489B2 (en) 1999-09-30 2002-10-29 Siemens Corporate Research, Inc Apparatus for superimposition of X-ray and video images
DE19954663B4 (en) 1999-11-13 2006-06-08 Smiths Heimann Gmbh Method and device for determining a material of a detected object
US6542578B2 (en) 1999-11-13 2003-04-01 Heimann Systems Gmbh Apparatus for determining the crystalline and polycrystalline materials of an item
US6751349B2 (en) 1999-11-30 2004-06-15 Fuji Photo Film Co., Ltd. Image processing system
US7050646B2 (en) 1999-12-10 2006-05-23 British Telecommunications Public Limited Company Image processing system and method for image segmentation using intensity contrast and depth contrast values
FR2803069B1 (en) 1999-12-28 2002-12-13 Ge Medical Syst Sa METHOD AND SYSTEM FOR COMPENSATING THE THICKNESS OF AN ORGAN
US7108970B2 (en) 2000-01-07 2006-09-19 Transform Pharmaceuticals, Inc. Rapid identification of conditions, compounds, or compositions that inhibit, prevent, induce, modify, or reverse transitions of physical state
US6418189B1 (en) 2000-01-24 2002-07-09 Analogic Corporation Explosive material detection apparatus and method using dual energy information of a scan
US6570177B1 (en) 2000-01-31 2003-05-27 Dcs Corporation System, apparatus, and method for detecting defects in particles
JP2001212144A (en) 2000-01-31 2001-08-07 Toshiba Corp Ultrasonic diagnostic apparatus and ultrasonic imaging method
US6744848B2 (en) 2000-02-11 2004-06-01 Brandeis University Method and system for low-dose three-dimensional imaging of a scene
US6735274B1 (en) 2000-02-15 2004-05-11 Koninklijke Philips Electronics N.V. Clinical screening CT systems
JP3643745B2 (en) 2000-02-21 2005-04-27 株式会社モリタ製作所 X-ray imaging detector and X-ray imaging apparatus
GB2360186B (en) 2000-03-03 2003-05-14 Toshiba Res Europ Ltd Apparatus and method for investigating a sample
US6865509B1 (en) 2000-03-10 2005-03-08 Smiths Detection - Pasadena, Inc. System for providing control to an industrial process using one or more multidimensional variables
US6895338B2 (en) 2000-03-10 2005-05-17 Smiths Detection - Pasadena, Inc. Measuring and analyzing multi-dimensional sensory information for identification purposes
DE10011318A1 (en) 2000-03-13 2001-09-20 Visicontrol Ges Fuer Elektroni Image processing apparatus for inspection and/or measurement of objects, includes infrared light source
US6628982B1 (en) 2000-03-30 2003-09-30 The Regents Of The University Of Michigan Internal marker device for identification of biological substances
JP3707347B2 (en) 2000-04-07 2005-10-19 株式会社島津製作所 Image processing method for X-ray CT apparatus, X-ray CT apparatus, and recording medium for X-ray CT imaging
WO2001078005A2 (en) 2000-04-11 2001-10-18 Cornell Research Foundation, Inc. System and method for three-dimensional image rendering and analysis
US6577708B2 (en) 2000-04-17 2003-06-10 Leroy Dean Chapman Diffraction enhanced x-ray imaging of articular cartilage
US6694048B2 (en) 2000-04-20 2004-02-17 Green Vision Systems Ltd. Method for generating intra-particle morphological concentration/density maps and histograms of a chemically pure particulate substance
US6980681B1 (en) 2000-04-24 2005-12-27 Ge Medical Systems Global Technology Company, Llc Methods and apparatus for helical reconstruction for multislice CT scan
JP2001299733A (en) 2000-04-27 2001-10-30 Konica Corp Pci radiation beam image processing apparatus, pci radiation beam image detecting and processing apparatus, pci radiation beam image outputting apparatus and pci radiation beam image diagnosis supporting apparatus
US6353673B1 (en) 2000-04-27 2002-03-05 Physical Optics Corporation Real-time opto-electronic image processor
US7359541B2 (en) 2000-04-28 2008-04-15 Konica Corporation Radiation image processing apparatus
US6408046B2 (en) 2000-04-29 2002-06-18 General Electric Company Method for dynamic range management of digital radiographic images
US6549683B1 (en) 2000-05-02 2003-04-15 Institut National D'optique Method and apparatus for evaluating a scale factor and a rotation angle in image processing
CA2307439C (en) 2000-05-02 2008-07-08 Institut National D'optique Method and apparatus for evaluating a scale factor and a rotation angle in image processing
US6866634B2 (en) 2000-05-09 2005-03-15 Hitachi Medical Corporation Ultrasonic diagnostic apparatus
US6583420B1 (en) 2000-06-07 2003-06-24 Robert S. Nelson Device and system for improved imaging in nuclear medicine and mammography
JP2001346790A (en) 2000-06-12 2001-12-18 Hitachi Medical Corp X-ray detector, and x-ray ct device using the same
JP3517388B2 (en) 2000-06-14 2004-04-12 新光電気工業株式会社 Bump inspection method and bump inspection device
JP2002042169A (en) 2000-07-06 2002-02-08 Infiniteface.Com Inc Three-dimensional image providing system, its method, morphing image providing system, and its method
WO2002019594A2 (en) 2000-08-02 2002-03-07 Arizona Board Of Regents, Acting On Behalf Of Arizona State University Scanning fluorescence lifetime microscope: directed evolution
US6381297B1 (en) 2000-08-15 2002-04-30 Ge Medical Systems Global Technology Company, Llc High pitch reconstruction of multislice CT scans
DE10044357A1 (en) 2000-09-07 2002-03-21 Heimann Systems Gmbh & Co Detector arrangement for the detection of X-rays
US7819003B2 (en) * 2002-06-11 2010-10-26 Intelligent Technologies International, Inc. Remote monitoring of fluid storage tanks
DE10046091C1 (en) 2000-09-18 2002-01-17 Siemens Ag Computer tomography device has optical imaging device providing visual images of area of patient examined via X-ray beam
US6570708B1 (en) 2000-09-18 2003-05-27 Institut National D'optique Image processing apparatus and method with locking feature
CA2319898C (en) 2000-09-18 2006-05-16 Institut National D'optique Position encoding optical device and method
JP2002095655A (en) 2000-09-26 2002-04-02 Shimadzu Corp Ct apparatus
AU2001294697A1 (en) 2000-09-29 2002-04-08 Analogic Corporation Method of and system for improving the signal to noise characteristics of imagesfrom a digital
US6720874B2 (en) 2000-09-29 2004-04-13 Ids Systems, Inc. Portal intrusion detection apparatus and method
US6324245B1 (en) 2000-10-17 2001-11-27 Siemens Corporation Research, Inc. Method and apparatus for identifying and correcting image inaccuracies caused by simplified processing of masked cone beam projection data
US6628983B1 (en) 2000-10-25 2003-09-30 Koninklijke Philips Electronics N.V. Nuclear imaging systems and methods with feature-enhanced transmission imaging
US6763148B1 (en) * 2000-11-13 2004-07-13 Visual Key, Inc. Image recognition methods
WO2002040970A1 (en) 2000-11-15 2002-05-23 Real Time Metrology, Inc. Optical method and apparatus for inspecting large area planar objects
KR100406113B1 (en) 2000-11-27 2003-11-15 학교법인 동국학원 searching apparatus using X-band and millimeter-wave signal
US6671541B2 (en) 2000-12-01 2003-12-30 Neomed Technologies, Inc. Cardiovascular imaging and functional analysis system
DE10062214B4 (en) 2000-12-13 2013-01-24 Smiths Heimann Gmbh Devices for transilluminating objects
JP3990981B2 (en) 2000-12-15 2007-10-17 ケイエルエイ−テンコー コーポレイション Method and apparatus for inspecting a substrate
NL1016916C2 (en) 2000-12-15 2002-07-02 Univ Delft Tech Method and device for analyzing and separating material flows.
US6473488B2 (en) 2000-12-20 2002-10-29 Cedara Software Corp. Three dimensional image reconstruction from single plane X-ray fluorograms
US6463181B2 (en) * 2000-12-22 2002-10-08 The United States Of America As Represented By The Secretary Of The Navy Method for optimizing visual display of enhanced digital images
US6418184B1 (en) 2000-12-29 2002-07-09 Ge Medical Systems Global Technology Company, Llc Helical rowwise view weighting of computed tomographic images
US6463118B2 (en) 2000-12-29 2002-10-08 Ge Medical Systems Global Technology Company, Llc Computed tomography (CT) weighting for high quality image recontruction
US20020094119A1 (en) 2001-01-18 2002-07-18 Velayudhan Sahadevan High resolution digitized image analysis of chest x-rays for diagnosis of difficult to visualize evolving very ealrly stage lung cancer, pnumoconiosis and pulmonary diseases
US20020127586A1 (en) 2001-01-31 2002-09-12 Novozymes A/S Method of analyzing granular composition by fluorescene analysis
US20020168657A1 (en) 2001-02-02 2002-11-14 Chen Lan Bo Rare event detection system
US6587575B1 (en) 2001-02-09 2003-07-01 The United States Of America As Represented By The Secretary Of Agriculture Method and system for contaminant detection during food processing
US6477221B1 (en) 2001-02-16 2002-11-05 University Of Rochester System and method for fast parallel cone-beam reconstruction using one or more microprocessors
DE10108295B4 (en) 2001-02-21 2004-01-29 Sirona Dental Systems Gmbh Tooth identification on digital x-rays and assignment of information to digital x-rays
US6366638B1 (en) 2001-03-16 2002-04-02 Ge Medical Systems Global Technology Company, Llc Methods and apparatus for CT scout image processing
US6876322B2 (en) 2003-06-26 2005-04-05 Battelle Memorial Institute Concealed object detection
US6522775B2 (en) 2001-03-28 2003-02-18 Alan C. Nelson Apparatus and method for imaging small objects in a flow stream using optical tomography
WO2002080100A2 (en) 2001-03-29 2002-10-10 Koninklijke Philips Electronics N.V. A method of reducing artifacts in object images
CA2443509A1 (en) 2001-04-03 2002-10-17 Michael P. Ellenbogen X-ray inspection system
DE10122279A1 (en) 2001-05-08 2002-12-12 Heimann Systems Gmbh & Co X-ray system
US6778681B2 (en) 2001-05-09 2004-08-17 Invision Technologies, Inc. Analysis and presentation of internal features of logs
US20020172409A1 (en) 2001-05-18 2002-11-21 Motoaki Saito Displaying three-dimensional medical images
US6580778B2 (en) 2001-05-23 2003-06-17 Heimann Systems Gmbh Inspection device
US6597760B2 (en) 2001-05-23 2003-07-22 Heimann Systems Gmbh Inspection device
US7462852B2 (en) * 2001-12-17 2008-12-09 Tecomet, Inc. Devices, methods, and systems involving cast collimators
US6721387B1 (en) 2001-06-13 2004-04-13 Analogic Corporation Method of and system for reducing metal artifacts in images generated by x-ray scanning devices
US6408042B1 (en) 2001-06-15 2002-06-18 Ge Medical Systems Global Technology Company, Llc Methods and apparatus for cone beam artifact suppression in scanning imaging systems
JP2003072186A (en) 2001-06-19 2003-03-12 Canon Inc Imaging apparatus, imaging method, program and recording medium
WO2002103338A1 (en) 2001-06-20 2002-12-27 Koninklijke Philips Electronics N.V. X-ray device for medical examination and method of improving the image quality thereof
JP4155921B2 (en) 2001-06-22 2008-09-24 株式会社日立メディコ X-ray diagnostic imaging equipment
US6663280B2 (en) 2001-06-28 2003-12-16 Heimann Systems Gmbh Inspection unit
US6611575B1 (en) 2001-07-27 2003-08-26 General Electric Company Method and system for high resolution 3D visualization of mammography images
DE10139672A1 (en) 2001-08-11 2003-03-06 Heimann Systems Gmbh & Co Method and installation for inspecting an object, in particular a piece of luggage
DE60140699D1 (en) 2001-09-05 2010-01-14 Koninkl Philips Electronics Nv DOSE CONTROL IN CT RECORDINGS
ATE437216T1 (en) 2001-09-06 2009-08-15 Genomic Profiling Systems Inc RAPID DETECTION OF REPLICATING CELLS
GB2397423B (en) 2001-09-17 2005-06-01 Ca Minister Agriculture & Food A method and apparatus for identifying and quantifying characteristics of seeds and other small objects
US6559769B2 (en) * 2001-10-01 2003-05-06 Eric Anthony Early warning real-time security system
US20060274916A1 (en) 2001-10-01 2006-12-07 L-3 Communications Security And Detection Systems Remote data access
US20060115109A1 (en) * 2001-10-01 2006-06-01 L-3 Communications Security And Detection Systems, Inc. Ensuring airline safety while safeguarding personal passenger information
US6610977B2 (en) * 2001-10-01 2003-08-26 Lockheed Martin Corporation Security system for NBC-safe building
DE10149254B4 (en) 2001-10-05 2006-04-20 Smiths Heimann Gmbh Method and device for detecting a specific material in an object by means of electromagnetic radiation
US6621887B2 (en) 2001-10-15 2003-09-16 General Electric Company Method and apparatus for processing a fluoroscopic image
US6792070B2 (en) 2001-10-16 2004-09-14 Fuji Photo Film Co., Ltd. Radiation image recording method and apparatus
US6661867B2 (en) * 2001-10-19 2003-12-09 Control Screening, Llc Tomographic scanning X-ray inspection system using transmitted and compton scattered radiation
US6574297B2 (en) 2001-10-30 2003-06-03 Siemens Corporate Research, Inc. System and method for image reconstruction in a cone beam imaging system
JP3948249B2 (en) * 2001-10-30 2007-07-25 日本電気株式会社 Similarity determination apparatus, similarity determination method, and program
EP1440566A2 (en) 2001-10-31 2004-07-28 Vrex Inc. 3d stereoscopic x-ray system with two different object trajectories
US6946655B2 (en) 2001-11-07 2005-09-20 Applied Materials, Inc. Spot grid array electron imaging system
US6618465B2 (en) 2001-11-12 2003-09-09 General Electric Company X-ray shielding system and shielded digital radiographic inspection system and method
DE60232817D1 (en) 2001-11-17 2009-08-13 Stfc Science & Technology METHOD AND DEVICE FOR THE SIMULTANEOUS OBTAINMENT OF X-RAY SAVINGS AND BREAKDOWN RECORDINGS USING A RADIANT DETECTOR INTEGRATED IN A MONOCHROMATOR
US7058210B2 (en) 2001-11-20 2006-06-06 General Electric Company Method and system for lung disease detection
US20040041082A1 (en) 2001-11-27 2004-03-04 Harmon Gary R. Molecular sensing array
US20030210139A1 (en) 2001-12-03 2003-11-13 Stephen Brooks Method and system for improved security
US6873261B2 (en) * 2001-12-07 2005-03-29 Eric Anthony Early warning near-real-time security system
JP2003175027A (en) 2001-12-10 2003-06-24 Hitachi Medical Corp X-ray ct system
DE10163351C1 (en) 2001-12-14 2003-06-26 Heimann Biometric Systems Gmbh Method and arrangement for the low-distortion recording of intensity patterns created on a contact surface by disturbed total reflection
US7012256B1 (en) * 2001-12-21 2006-03-14 National Recovery Technologies, Inc. Computer assisted bag screening system
US6542580B1 (en) 2002-01-15 2003-04-01 Rapiscan Security Products (Usa), Inc. Relocatable X-ray imaging system and method for inspecting vehicles and containers
US20030138147A1 (en) 2002-01-17 2003-07-24 Yandi Ongkojoyo Object recognition system for screening device
WO2003060483A1 (en) 2002-01-19 2003-07-24 Pvt Probenverteiltechnik Gmbh Method and device for the analysis of body fluids
US6603536B1 (en) 2002-01-24 2003-08-05 Textron Systems Corporation Hybrid optical correlator/digital processor for target detection and discrimination
US9092841B2 (en) 2004-06-09 2015-07-28 Cognex Technology And Investment Llc Method and apparatus for visual detection and inspection of objects
US7738995B2 (en) 2002-02-12 2010-06-15 United Parcel Service Of America, Inc. Systems and methods for use in electronic processing of foreign origin and export shipments and/or passengers and baggage at security check points
GB0203530D0 (en) 2002-02-14 2002-04-03 Lettington Alan H Scanning apparatus
US6618466B1 (en) 2002-02-21 2003-09-09 University Of Rochester Apparatus and method for x-ray scatter reduction and correction for fan beam CT and cone beam volume CT
US6654443B1 (en) 2002-02-25 2003-11-25 Ge Medical Systems Global Technology Co., Llc Thermal sensing detector cell for a computed tomography system and method of manufacturing same
US6459755B1 (en) 2002-02-26 2002-10-01 Ge Medical Systems Global Technology Co. Llc Method and apparatus for administering low dose CT scans
US6803997B2 (en) 2002-03-08 2004-10-12 Anzus, Inc. Gridlocking and correlation methods and arrangements
US6665373B1 (en) 2002-03-12 2003-12-16 Rapiscan Security Products (Usa), Inc. X-ray imaging system with active detector
EP1347309A3 (en) 2002-03-20 2012-04-18 Hitachi, Ltd. Radiological imaging apparatus and method
US7050616B2 (en) * 2002-04-01 2006-05-23 Ge Medical Systems Global Technology Company, Llc Data transmission scheme and system for image reconstruction
JP4149189B2 (en) 2002-04-04 2008-09-10 株式会社日立メディコ X-ray CT system
US7043474B2 (en) * 2002-04-15 2006-05-09 International Business Machines Corporation System and method for measuring image similarity based on semantic meaning
US7218766B2 (en) 2002-04-15 2007-05-15 General Electric Company Computer aided detection (CAD) for 3D digital mammography
US7811825B2 (en) 2002-04-19 2010-10-12 University Of Washington System and method for processing specimens and images for optical tomography
US7071823B2 (en) * 2002-04-24 2006-07-04 Brian Boesch System and method for centralized security screening
JP3785576B2 (en) 2002-04-24 2006-06-14 株式会社モリタ製作所 Subject blur correction means and medical X-ray imaging apparatus using the same
US6570951B1 (en) 2002-05-14 2003-05-27 Ge Medical Systems Global Technology Company, Llc Image space compensation scheme for reducing artifacts
US7280696B2 (en) * 2002-05-20 2007-10-09 Simmonds Precision Products, Inc. Video detection/verification system
US7174033B2 (en) 2002-05-22 2007-02-06 A4Vision Methods and systems for detecting and recognizing an object based on 3D image data
US6868138B2 (en) 2002-05-29 2005-03-15 The Regents Of The University Of Michigan Method, processor and computed tomography (CT) machine for generating images utilizing high and low sensitivity data collected from a flat panel detector having an extended dynamic range
US7272252B2 (en) 2002-06-12 2007-09-18 Clarient, Inc. Automated system for combining bright field and fluorescent microscopy
IL150251A (en) 2002-06-16 2007-06-03 Securelogic Ltd Screening system for objects in transit
WO2004006202A2 (en) 2002-07-03 2004-01-15 Security Point Media Advertising trays for security screening
CN1282942C (en) 2002-07-26 2006-11-01 松下电工株式会社 Image processing method for appearance inspection
USH2110H1 (en) * 2002-07-30 2004-10-05 The United States Of America As Represented By The Secretary Of The Air Force Automated security scanning process
US6938488B2 (en) * 2002-08-21 2005-09-06 Battelle Memorial Institute Acoustic inspection device
DE20321352U1 (en) 2002-08-28 2006-12-21 Carl Zeiss Surgical Gmbh Microscopy system for visualizing fluorescence of indocyanine green in object to be inspected, has microscopy optics with first beam path and second beam path, display system, and illumination system
US20050153356A1 (en) 2002-09-09 2005-07-14 Olympus Corporation Image processing method for biochemical test
US20040051030A1 (en) 2002-09-17 2004-03-18 Artur Olszak Method and apparatus for acquiring images from a multiple axis imaging system
US7359042B2 (en) 2002-09-23 2008-04-15 S.T.I. Security Technology Integration Ltd Inspection system for limited access spaces
US6961404B2 (en) 2002-09-26 2005-11-01 Eastman Kodak Company Method and system for reconstructing an image from projection data acquired by a cone beam computed tomography system
US6946671B2 (en) 2002-09-26 2005-09-20 Honeywell Federal Manufacturing & Technologies, Llc System and method for identifying, reporting, and evaluating presence of substance
DE10245676B4 (en) 2002-09-30 2008-01-17 Siemens Ag Phase-contrast x-ray machine with line focus for creating a phase-contrast image of an object and method for producing the phase-contrast image
US6970531B2 (en) 2002-10-07 2005-11-29 General Electric Company Continuous scan RAD tomosynthesis system and method
US6940943B2 (en) 2002-10-07 2005-09-06 General Electric Company Continuous scan tomosynthesis system and method
US6906330B2 (en) 2002-10-22 2005-06-14 Elgems Ltd. Gamma camera
US7633518B2 (en) 2002-10-25 2009-12-15 Quantum Magnetics, Inc. Object detection portal with video display overlay
US7289841B2 (en) 2002-10-25 2007-10-30 Koninklijke Philips Electronics N.V. Method and apparatus for volumetric cardiac computed tomography imaging
US6904117B2 (en) 2002-10-30 2005-06-07 Toshiba Corporation Tilted gantry helical cone-beam Feldkamp reconstruction for multislice CT
US6737102B1 (en) 2002-10-31 2004-05-18 Nordson Corporation Apparatus and methods for applying viscous material in a pattern onto one or more moving strands
US7233817B2 (en) 2002-11-01 2007-06-19 Brian Yen Apparatus and method for pattern delivery of radiation and biological characteristic analysis
US7505556B2 (en) * 2002-11-06 2009-03-17 American Science And Engineering, Inc. X-ray backscatter detection imaging modules
JP2004166923A (en) 2002-11-19 2004-06-17 Canon Inc X-ray computed tomography imaging apparatus
JP2004177138A (en) * 2002-11-25 2004-06-24 Hitachi Ltd Dangerous object detector and dangerous object detection method
JP2004177377A (en) 2002-11-29 2004-06-24 Hitachi Ltd Inspecting method and inspecting apparatus
RU2312327C2 (en) 2002-12-10 2007-12-10 Коммонвелт Сайентифик Энд Индастриал Рисерч Организейшн Radiographic arrangement
US6738450B1 (en) * 2002-12-10 2004-05-18 Agilent Technologies, Inc. System and method for cost-effective classification of an object under inspection
US7634138B2 (en) * 2002-12-20 2009-12-15 Eastman Kodak Company Method for generating an image of a detected subject
US7286634B2 (en) * 2002-12-23 2007-10-23 Select Technologies, Llc Method and apparatus for improving baggage screening examination
CN100430021C (en) 2003-01-20 2008-11-05 皇家飞利浦电子股份有限公司 Medical imaging device having means for rendering the detector orientation and the display orientation essentially equal
US6735279B1 (en) 2003-01-21 2004-05-11 University Of Florida Snapshot backscatter radiography system and protocol
JP3760918B2 (en) 2003-01-21 2006-03-29 株式会社日立製作所 Security system
JP4601607B2 (en) * 2003-01-23 2010-12-22 リビール イメージング テクノロジーズ, インコーポレイテッド CT scan system and CT scan method for baggage
WO2004068412A1 (en) 2003-01-31 2004-08-12 Philips Intellectual Property & Standards Gmbh Method for the reconstruction of three-dimensional objects
GB2398379A (en) 2003-02-11 2004-08-18 Qinetiq Ltd Automated digital image analysis
JP2006518039A (en) 2003-02-13 2006-08-03 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Object inspection method and apparatus
US7212661B2 (en) * 2003-02-14 2007-05-01 Ge Medical Systems Information Technologies. Inc. Image data navigation method and apparatus
US6936828B2 (en) 2003-02-14 2005-08-30 Honeywell International Inc. Particle detection system and method
US7103301B2 (en) 2003-02-18 2006-09-05 Ricoh Company, Ltd. Image forming apparatus using a contact or a proximity type of charging system including a protection substance on a moveable body to be charged
JP2006518849A (en) * 2003-02-24 2006-08-17 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Automatic substance identification by using computer tomography
US7065175B2 (en) 2003-03-03 2006-06-20 Varian Medical Systems Technologies, Inc. X-ray diffraction-based scanning system
US7019650B2 (en) * 2003-03-03 2006-03-28 Caducys, L.L.C. Interrogator and interrogation system employing the same
US7991454B2 (en) 2003-03-04 2011-08-02 Academia Sinica Imaging of biological structures
JP2006520054A (en) 2003-03-06 2006-08-31 アニメトリクス,インク. Image matching from invariant viewpoints and generation of 3D models from 2D images
US6895072B2 (en) 2003-03-26 2005-05-17 Heimann Systems Corp. Apparatus and method for non-destructive inspection of material in containers
US20050190882A1 (en) 2003-04-04 2005-09-01 Mcguire Edward L. Multi-spectral x-ray image processing
JP2004321310A (en) 2003-04-22 2004-11-18 Canon Inc Radiation imaging apparatus
WO2004095060A2 (en) * 2003-04-23 2004-11-04 L-3 Communications Security and Detection Systems Corporation X-ray imaging technique
US20050058242A1 (en) 2003-09-15 2005-03-17 Peschmann Kristian R. Methods and systems for the rapid detection of concealed objects
US6920198B2 (en) 2003-05-02 2005-07-19 Ge Medical Systems Global Technology Company, Llc Methods and apparatus for processing a fluoroscopic image
US20040225222A1 (en) 2003-05-08 2004-11-11 Haishan Zeng Real-time contemporaneous multimodal imaging and spectroscopy uses thereof
US20040228766A1 (en) 2003-05-14 2004-11-18 Witty Thomas R. Point of care diagnostic platform
JP4245976B2 (en) 2003-05-16 2009-04-02 オリンパス株式会社 Ultrasonic image processing device
US7092485B2 (en) * 2003-05-27 2006-08-15 Control Screening, Llc X-ray inspection system for detecting explosives and other contraband
US6952163B2 (en) * 2003-06-11 2005-10-04 Quantum Magnetics, Inc. Combined systems user interface for centralized monitoring of a screening checkpoint for passengers and baggage
US7317390B2 (en) 2003-06-11 2008-01-08 Quantum Magnetics, Inc. Screening checkpoint for passengers and baggage
US7119553B2 (en) 2003-06-11 2006-10-10 Konsulteurope Limited Limited Joint Stock Company Security scanners with capacitance and magnetic sensor arrays
US20040253660A1 (en) 2003-06-12 2004-12-16 Giles Scientific, Inc. Automated microbiological testing apparatus and method
US6947521B2 (en) 2003-06-17 2005-09-20 Illinois Institute Of Technology Imaging method based on attenuation, refraction and ultra-small-angle-scattering of x-rays
JP2006527852A (en) 2003-06-19 2006-12-07 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Analytical apparatus and method having auto-focusing means
US6928141B2 (en) 2003-06-20 2005-08-09 Rapiscan, Inc. Relocatable X-ray imaging system and method for inspecting commercial vehicles and cargo containers
US6888924B2 (en) 2003-06-25 2005-05-03 General Electric Company Method, apparatus, and medium for calibration of tomosynthesis system geometry using fiducial markers with non-determined position
US6973158B2 (en) * 2003-06-25 2005-12-06 Besson Guy M Multi-target X-ray tube for dynamic multi-spectral limited-angle CT imaging
CA2531587A1 (en) 2003-07-08 2005-01-27 General Electric Company Security checkpoint
US7248749B2 (en) * 2003-07-29 2007-07-24 Ge Medical Systems Global Technology Company, Llc Method and apparatus for signal-to-noise ratio dependent image processing
US7596286B2 (en) 2003-08-06 2009-09-29 Sony Corporation Image processing apparatus, image processing system, imaging apparatus and image processing method
US7366282B2 (en) 2003-09-15 2008-04-29 Rapiscan Security Products, Inc. Methods and systems for rapid detection of concealed objects using fluorescence
US20050117700A1 (en) 2003-08-08 2005-06-02 Peschmann Kristian R. Methods and systems for the rapid detection of concealed objects
US7099432B2 (en) 2003-08-27 2006-08-29 Matsushita Electric Industrial Co., Ltd. X-ray inspection apparatus and X-ray inspection method
WO2005086616A2 (en) 2003-09-10 2005-09-22 Sommer Jr Edward J Method and apparatus for improving baggage screening examination
US20050058350A1 (en) 2003-09-15 2005-03-17 Lockheed Martin Corporation System and method for object identification
US7145148B2 (en) 2003-09-25 2006-12-05 Alfano Robert R Systems and methods for non-destructively detecting material abnormalities beneath a coated surface
US7672431B2 (en) 2003-10-10 2010-03-02 Bayer Schering Pharma Aktiengesellschaft X-ray arrangement and x-ray contrast process for imaging an object under examination that contains at least one radiopaque element as well as use of the x-ray arrangement
WO2005086620A2 (en) 2003-10-10 2005-09-22 L-3 Communications Security And Detection Systems Mmw contraband screening system
US7068751B2 (en) * 2003-10-27 2006-06-27 General Electric Company System and method of determining a center of mass of an imaging subject for x-ray flux management control
US20050094856A1 (en) 2003-11-03 2005-05-05 Warren Scott R. Systems and methods for detecting target focus and tilt errors during genetic analysis
US20050128069A1 (en) 2003-11-12 2005-06-16 Sondre Skatter System and method for detecting contraband
EP1689640A2 (en) * 2003-11-19 2006-08-16 L-3 Communications Security and Detection Systems Corporation Security system with distributed computing
US7492931B2 (en) * 2003-11-26 2009-02-17 Ge Medical Systems Global Technology Company, Llc Image temporal change detection and display method and apparatus
US7555144B2 (en) 2003-12-03 2009-06-30 Centre National De La Recherche Scientifique (Cnrs) Optical scanning device for liquid biological samples, process of operation and computer program for a computer connected to said device
US20050133708A1 (en) 2003-12-18 2005-06-23 General Electric Company Method and system for three dimensional tomosynthesis imaging
US7027553B2 (en) 2003-12-29 2006-04-11 Ge Medical Systems Global Technology Company, Llc Systems and methods for generating images by using monochromatic x-rays
US7177389B2 (en) 2004-01-09 2007-02-13 Adelphi Technology X-ray tomography and laminography
US7105828B2 (en) 2004-02-10 2006-09-12 Ge Medical Systems Global Technology Company, Llc Hybrid x-ray detector
US7246745B2 (en) * 2004-02-27 2007-07-24 Evolution Robotics Retail, Inc. Method of merchandising for checkout lanes
US20050207655A1 (en) 2004-03-22 2005-09-22 Nasreen Chopra Inspection system and method for providing feedback
DE102004015806A1 (en) 2004-03-29 2005-10-27 Smiths Heimann Biometrics Gmbh Method and device for recording areas of interest of moving objects
DE102004016586A1 (en) 2004-03-31 2005-11-03 Siemens Ag Image reconstruction device for an X-ray device and method for local 3D reconstruction of an object region
US7142633B2 (en) * 2004-03-31 2006-11-28 General Electric Company Enhanced X-ray imaging system and method
JP2005283527A (en) 2004-03-31 2005-10-13 Hitachi High-Technologies Corp Apparatus for detecting foreign substance
WO2005103935A1 (en) * 2004-04-26 2005-11-03 Creo Inc. Systems and methods for comparing documents containing graphic elements
WO2005104728A2 (en) 2004-04-26 2005-11-10 L-3 Communications Security & Detection Systems, Inc. User interface for inspection system with isoluminant regions
US20050251398A1 (en) 2004-05-04 2005-11-10 Lockheed Martin Corporation Threat scanning with pooled operators
US7212113B2 (en) 2004-05-04 2007-05-01 Lockheed Martin Corporation Passenger and item tracking with system alerts
US20050251397A1 (en) 2004-05-04 2005-11-10 Lockheed Martin Corporation Passenger and item tracking with predictive analysis
US7356174B2 (en) * 2004-05-07 2008-04-08 General Electric Company Contraband detection system and method using variance data
US7313270B2 (en) 2004-05-19 2007-12-25 Applied Vision Company, Llc Vision system and method for process monitoring
US20050276443A1 (en) 2004-05-28 2005-12-15 Slamani Mohamed A Method and apparatus for recognizing an object within an image
US7285779B2 (en) 2004-06-21 2007-10-23 Applied Materials Israel, Ltd. Methods of scanning an object that includes multiple regions of interest using an array of scanning beams
US7604595B2 (en) 2004-06-22 2009-10-20 General Electric Company Method and system for performing real time navigation of ultrasound volumetric data
DE102004031130A1 (en) * 2004-06-28 2006-01-19 Yxlon International Security Gmbh Method for checking a piece of luggage by means of an X-ray diffraction method
US20080063140A1 (en) 2004-07-20 2008-03-13 William Awad System and Method for Detecting the Presence of a Threat in a Package
US7233682B2 (en) * 2004-08-02 2007-06-19 Levine Michael C Security screening system and method
US7570786B2 (en) 2004-08-30 2009-08-04 Antoun Ateya Automatic digital object counting and verification system and associated method
DE102004042491B4 (en) 2004-08-31 2009-07-09 Siemens Ag A method for generating tomographic slice images of an examination subject with at least two angularly offset beams and computed tomography device for performing this method
US20060064246A1 (en) 2004-09-20 2006-03-23 Medberry Scott L Automated Processing of chemical arrays and systems therefore
US20060065844A1 (en) 2004-09-30 2006-03-30 Zelakiewicz Scott S Systems and methods for dynamic optimization of image
US7330530B2 (en) 2004-10-04 2008-02-12 Illinois Institute Of Technology Diffraction enhanced imaging method using a line x-ray source
EP1810221B1 (en) 2004-10-16 2014-06-25 Identix Incorporated Diffractive imaging system for acquiring an image of skin topology and corresponding method
US7356116B2 (en) * 2004-12-03 2008-04-08 Eg&G Middle East Container inspection system
US7729523B2 (en) * 2004-12-21 2010-06-01 General Electric Company Method and system for viewing image data
US7583821B2 (en) 2004-12-21 2009-09-01 Avago Technologies Ecbu Ip (Singapore) Pte. Ltd. Apparatus for classifying a material by analyzing the material's surface, and related systems and method
US20060173268A1 (en) * 2005-01-28 2006-08-03 General Electric Company Methods and systems for controlling acquisition of images
US7308142B2 (en) 2005-03-10 2007-12-11 Applied Vision Company, Llc System and methods for rogue can detection
US20060269135A1 (en) * 2005-03-15 2006-11-30 Ramsay Thomas E System and method for identifying objects of interest in image data
EP1886257A1 (en) 2005-05-11 2008-02-13 Optosecurity Inc. Method and system for screening luggage items, cargo containers or persons
US20060262902A1 (en) 2005-05-19 2006-11-23 The Regents Of The University Of California Security X-ray screening system
US20060282886A1 (en) 2005-06-09 2006-12-14 Lockheed Martin Corporation Service oriented security device management network
US20070168467A1 (en) * 2006-01-15 2007-07-19 Telesecurity Sciences Inc. Method and system for providing remote access to baggage scanned images
US7358733B2 (en) * 2006-02-28 2008-04-15 Ge Security, Inc. High performance security inspection system with physically isolated detection sensors
US7466790B2 (en) * 2006-03-02 2008-12-16 General Electric Company Systems and methods for improving a resolution of an image
US7899232B2 (en) * 2006-05-11 2011-03-01 Optosecurity Inc. Method and apparatus for providing threat image projection (TIP) in a luggage screening system, and luggage screening system implementing same
US7720194B2 (en) * 2007-02-16 2010-05-18 L-3 Communications Security and Detection Systems Inc. High throughput baggage inspection system
US7769132B1 (en) * 2007-03-13 2010-08-03 L-3 Communications Security And Detection Systems, Inc. Material analysis based on imaging effective atomic numbers

Patent Citations (101)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5283641A (en) * 1954-12-24 1994-02-01 Lemelson Jerome H Apparatus and methods for automated analysis
US4573198A (en) * 1982-12-27 1986-02-25 Litton Systems, Inc. Optical image processing/pattern recognition system
US4725733A (en) * 1983-07-18 1988-02-16 The United States Of America As Represented By The Secretary Of The Navy Apparatus and method for remotely detecting the presence of chemical warfare nerve agents in an air-released thermal cloud
US4637056A (en) * 1983-10-13 1987-01-13 Battelle Development Corporation Optical correlator using electronic image preprocessing
US4722096A (en) * 1985-03-04 1988-01-26 Heimann Gmbh Apparatus for transradiating objects on a conveyor path
US4724543A (en) * 1985-09-10 1988-02-09 Beckman Research Institute, City Of Hope Method and apparatus for automatic digital image analysis
US4795253A (en) * 1987-04-24 1989-01-03 Mobay Corporation Remote sensing gas analyzer
US5079698A (en) * 1989-05-03 1992-01-07 Advanced Light Imaging Technologies Ltd. Transillumination method apparatus for the diagnosis of breast tumors and other breast lesions by normalization of an electronic image of the breast
US5091924A (en) * 1989-08-09 1992-02-25 Heimann Gmbh Apparatus for the transillumination of articles with a fan-shaped radiation beam
US5179581A (en) * 1989-09-13 1993-01-12 American Science And Engineering, Inc. Automatic threat detection based on illumination by penetrating radiant energy
US5181234A (en) * 1990-08-06 1993-01-19 Irt Corporation X-ray backscatter detection system
US5181234B1 (en) * 1990-08-06 2000-01-04 Rapiscan Security Products Inc X-ray backscatter detection system
US5490218A (en) * 1990-08-10 1996-02-06 Vivid Technologies, Inc. Device and method for inspection of baggage and other objects
US5600485A (en) * 1991-04-23 1997-02-04 Seiko Instruments Inc. Optical pattern recognition system method of ferroelectric liquid crystal spatial light modulator
US5483569A (en) * 1991-10-25 1996-01-09 American Science And Engineering Inspection system with no intervening belt
US5595767A (en) * 1992-03-27 1997-01-21 Universite Joseph Fourier Three-dimensional energy distribution device
US5379336A (en) * 1992-05-21 1995-01-03 Hughes Aircraft Company Hybridized semiconductor pixel detector arrays for use in digital radiography
US5379334A (en) * 1992-07-20 1995-01-03 Heimann Systems Gmbh & Co. Kg Object testing system
US5600303A (en) * 1993-01-15 1997-02-04 Technology International Incorporated Detection of concealed explosives and contraband
US6031890A (en) * 1993-04-05 2000-02-29 Heimann Systems Gmbh & Co. Kg Monitoring installation for containers and trucks
US5485312A (en) * 1993-09-14 1996-01-16 The United States Of America As Represented By The Secretary Of The Air Force Optical pattern recognition system and method for verifying the authenticity of a person, product or thing
US5604634A (en) * 1993-09-20 1997-02-18 The United States Of America As Represented By The Secretary Of The Air Force All optical nonlinear joint fourier transform correlator
US5866907A (en) * 1993-10-12 1999-02-02 Biotraces, Inc. Ultralow background multiple photon detector
US5481622A (en) * 1994-03-01 1996-01-02 Rensselaer Polytechnic Institute Eye tracking apparatus and method employing grayscale threshold values
US5493444A (en) * 1994-04-28 1996-02-20 The United States Of America As Represented By The Secretary Of The Air Force Photorefractive two-beam coupling nonlinear joint transform correlator
US5481584A (en) * 1994-11-23 1996-01-02 Tang; Jihong Device for material separation using nondestructive inspection imaging
US5706816A (en) * 1995-07-17 1998-01-13 Aloka Co., Ltd. Image processing apparatus and image processing method for use in the image processing apparatus
US5600700A (en) * 1995-09-25 1997-02-04 Vivid Technologies, Inc. Detecting explosives or other contraband by employing transmitted and scattered X-rays
US6507025B1 (en) * 1995-10-23 2003-01-14 Science Applications International Corporation Density detection using real time discrete photon counting for fast moving targets
US6018562A (en) * 1995-11-13 2000-01-25 The United States Of America As Represented By The Secretary Of The Army Apparatus and method for automatic recognition of concealed objects using multiple energy computed tomography
US5862258A (en) * 1996-11-04 1999-01-19 The United States Of America As Represented By The Secretary Of The Army Method for distinguishing between objects using mace filters
US6502984B2 (en) * 1997-01-17 2003-01-07 Canon Kabushiki Kaisha Radiographic apparatus
US5864598A (en) * 1997-04-21 1999-01-26 General Electric Company Methods and apparatus for scanning an object in a computed tomography system
US6175613B1 (en) * 1997-07-11 2001-01-16 Ge Medical Systems S.A. Method for processing a sequence of radiological images of an object
US6335742B1 (en) * 1997-07-24 2002-01-01 Ricoh Company, Ltd. Apparatus for file management and manipulation using graphical displays and textual descriptions
US5862198A (en) * 1997-09-30 1999-01-19 Siemens Corporate Research, Inc. Pre-calculated hitlist for reducing run-time processing of an exact cone beam reconstruction algorithm
US6188747B1 (en) * 1998-01-24 2001-02-13 Heimann Systems Gmbh X-ray generator
US6175417B1 (en) * 1998-02-13 2001-01-16 Micron Technology, Inc. Method and apparatus for detecting defects in the manufacture of an electronic device
US6011620A (en) * 1998-04-06 2000-01-04 Northrop Grumman Corporation Method and apparatus for the automatic inspection of optically transmissive planar objects
US6526120B1 (en) * 1998-05-06 2003-02-25 Joseph N. Gray X-ray flow rate measurement system for materials, including agricultural materials and food products
US6195413B1 (en) * 1998-06-12 2001-02-27 Heimann Systems Gmbh Method and arrangement for detecting X-rays
US6018561A (en) * 1998-07-27 2000-01-25 Siemens Corporate Research, Inc. Mask boundary correction in a cone beam imaging system using simplified filtered backprojection image reconstruction
US20040037462A1 (en) * 1998-08-24 2004-02-26 Lewis Meirion F. Pattern recognition and other inventions
US20020015475A1 (en) * 1998-09-11 2002-02-07 Kazuhiro Matsumoto A grid holding frame, which provides grid information to-ray image processing apparatus
US6195444B1 (en) * 1999-01-12 2001-02-27 Analogic Corporation Apparatus and method for detecting concealed objects in computed tomography data
US6185272B1 (en) * 1999-03-15 2001-02-06 Analogic Corporation Architecture for CT scanning system
US20050017181A1 (en) * 1999-04-16 2005-01-27 The Regents Of The University Of Michigan Method and system for high-speed, 3D imaging of optically-invisible radiation and detector and array of such detectors for use therein
US20020018199A1 (en) * 1999-11-04 2002-02-14 Martin Blumenfeld Imaging of biological samples using electronic light detector
US6839406B2 (en) * 1999-11-13 2005-01-04 Smiths Heimann Gmbh Apparatus and method for detecting items in objects
US6525331B1 (en) * 1999-12-01 2003-02-25 Nanyang Technological University Ball grid array (BGA) package on-line non-contact inspection method and system
US20020001366A1 (en) * 2000-03-31 2002-01-03 Toshikazu Tamura Imaging apparatus, imaging method, and storage medium
US20030031291A1 (en) * 2000-04-18 2003-02-13 Yoshimichi Yamamoto X-ray apparatus
US20020016546A1 (en) * 2000-06-22 2002-02-07 Marino Cerofolini Method and apparatus for ultrasound imaging, particularly for three-dimensional imaging
US6507278B1 (en) * 2000-06-28 2003-01-14 Adt Security Services, Inc. Ingress/egress control system for airport concourses and other access controlled areas
US6839403B1 (en) * 2000-07-24 2005-01-04 Rapiscan Security Products (Usa), Inc. Generation and distribution of annotation overlays of digital X-ray images for security systems
US20020024016A1 (en) * 2000-07-28 2002-02-28 Tadao Endo Photoelectric conversion device, radiation detection apparatus, image processing system, and driving method thereof
US20020017620A1 (en) * 2000-08-04 2002-02-14 Nikon Corporation Surface inspection apparatus
US20040027127A1 (en) * 2000-08-22 2004-02-12 Mills Randell L 4 dimensinal magnetic resonance imaging
US20030024315A1 (en) * 2000-08-31 2003-02-06 Harald Merkel Device, method and system for measuring the distribution of selected properties in a material
US7000827B2 (en) * 2000-09-01 2006-02-21 Heimann Systems Gmbh Operator unit for an X-ray examining apparatus
US6837422B1 (en) * 2000-09-01 2005-01-04 Heimann Systems Gmbh Service unit for an X-ray examining device
US20060018517A1 (en) * 2000-09-15 2006-01-26 Canon Kabushiki Kaisha Image processing methods and apparatus for detecting human eyes, human face, and other objects in an image
US20060019409A1 (en) * 2000-10-13 2006-01-26 Chemimage Corporation Spectroscopic methods for component particle analysis
US20030036006A1 (en) * 2001-03-26 2003-02-20 Shipley Company, L.L.C. Methods for monitoring photoresists
US20050008119A1 (en) * 2001-04-03 2005-01-13 L-3 Communications Security And Detections Systems Remote baggage screening system, software and method
US20030012420A1 (en) * 2001-06-12 2003-01-16 Applied Imaging Corporation Automated scanning method for pathology samples
US20030031289A1 (en) * 2001-07-18 2003-02-13 Jiang Hsieh Methods and apparatus for FOV-dependent aliasing artifact reduction
US20030023592A1 (en) * 2001-07-27 2003-01-30 Rapiscan Security Products (Usa), Inc. Method and system for certifying operators of x-ray inspection systems
US20030038945A1 (en) * 2001-08-17 2003-02-27 Bernward Mahner Method and apparatus for testing objects
US20050018812A1 (en) * 2001-12-11 2005-01-27 Wolfs Peter Bas Anton X-ray examination apparatus and method
US20040017882A1 (en) * 2002-03-06 2004-01-29 National Institute Of Advanced Industrial Science And Technology Oblique view cone beam CT system
US20040013239A1 (en) * 2002-03-13 2004-01-22 Breakaway Imaging, Llc Systems and methods for quasi-simultaneous multi-planar x-ray imaging
US20060000911A1 (en) * 2002-05-07 2006-01-05 Amit Stekel Automatic certification, identification and tracking of remote objects in relative motion
US20040012853A1 (en) * 2002-05-13 2004-01-22 Garcia Juan Manuel Bueno Method and apparatus for imaging using polarimetry and matrix based image reconstruction
US20040017883A1 (en) * 2002-07-22 2004-01-29 Tarou Takagi CT apparatus, CT imaging method and method of providing service using the same
US6843599B2 (en) * 2002-07-23 2005-01-18 Rapiscan, Inc. Self-contained, portable inspection system and method
US20040016271A1 (en) * 2002-07-23 2004-01-29 Kirti Shah Portable inspection containers
US20060056584A1 (en) * 2002-07-23 2006-03-16 Bryan Allman Self-contained mobile inspection system and method
US20040017888A1 (en) * 2002-07-24 2004-01-29 Seppi Edward J. Radiation scanning of objects for contraband
US20040017935A1 (en) * 2002-07-25 2004-01-29 Avinash Gopal B. Temporal image comparison method
US20040022425A1 (en) * 2002-07-31 2004-02-05 Ge Medical Systems Global Technology Company Llc Temporal image comparison method
US6856272B2 (en) * 2002-08-28 2005-02-15 Personnel Protection Technoloties Llc Methods and apparatus for detecting threats in different areas
US6982643B2 (en) * 2002-10-08 2006-01-03 Freight Glove Technologies, Llc Cargo security method and apparatus
US20050025280A1 (en) * 2002-12-10 2005-02-03 Robert Schulte Volumetric 3D x-ray imaging system for baggage inspection including the detection of explosives
US20060013455A1 (en) * 2002-12-17 2006-01-19 Qinetiq Limited Image analysis
US7164750B2 (en) * 2003-03-26 2007-01-16 Smiths Detection, Inc. Non-destructive inspection of material in container
US20050008203A1 (en) * 2003-07-09 2005-01-13 General Electric Company System and method for real-time processing and display of digital medical images
US20050025350A1 (en) * 2003-07-28 2005-02-03 Engelbart Roger W. Systems and method for identifying foreign objects and debris (FOD) and defects during fabrication of a composite structure
US20050031069A1 (en) * 2003-08-07 2005-02-10 General Electric Company System and method for detecting an object by dynamically adjusting computational load
US20060017605A1 (en) * 2003-08-12 2006-01-26 Trex Enterprises Corp. Millimeter wave portal imaging system
US6990171B2 (en) * 2003-10-27 2006-01-24 General Electric Company System and method of determining a user-defined region-of-interest of an imaging subject for x-ray flux management control
US7882141B2 (en) * 2004-02-20 2011-02-01 Fujifilm Corporation Digital pictorial book sytstem, pictorial book searching method, and machine readable medium storing thereon pictorial book searching method
US7183906B2 (en) * 2004-03-19 2007-02-27 Lockheed Martin Corporation Threat scanning machine management system
US20060013464A1 (en) * 2004-05-26 2006-01-19 Guardian Technologies International, Inc. System and method for identifying objects of interest in image data
US20060002504A1 (en) * 2004-06-30 2006-01-05 Bruno Kristiaan Bernard De Man System and method for boundary estimation using CT metrology
US20060036167A1 (en) * 2004-07-03 2006-02-16 Shina Systems Ltd. Vascular image processing
US20060009269A1 (en) * 2004-07-08 2006-01-12 Hoskinson Reed L Method and apparatus for monitoring characteristics of a flow path having solid components flowing therethrough
US20060008054A1 (en) * 2004-07-12 2006-01-12 Hiromu Ohara Radiographic image capturing system and radiographic image capturing method
US20060018434A1 (en) * 2004-07-20 2006-01-26 Jacobs Alan M Radiography by selective detection of scatter field velocity components
US20060034503A1 (en) * 2004-08-12 2006-02-16 Fuji Photo Film Co., Ltd. Medical image processing system
US20070003122A1 (en) * 2005-06-29 2007-01-04 General Electric Company Method for quantifying an object in a larger structure using a reconstructed image

Cited By (81)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9818249B1 (en) 2002-09-04 2017-11-14 Copilot Ventures Fund Iii Llc Authentication method and system
US8421625B2 (en) 2004-03-12 2013-04-16 Ingenia Holdings Limited System and method for article authentication using thumbnail signatures
US8757493B2 (en) 2004-03-12 2014-06-24 Ingenia Holdings Limited System and method for article authentication using encoded signatures
US8749386B2 (en) 2004-03-12 2014-06-10 Ingenia Holdings Limited System and method for article authentication using signatures
US8896885B2 (en) 2004-03-12 2014-11-25 Ingenia Holdings Limited Creating authenticatable printed articles and subsequently verifying them based on scattered light caused by surface structure
US8766800B2 (en) 2004-03-12 2014-07-01 Ingenia Holdings Limited Authenticity verification methods, products, and apparatuses
US9019567B2 (en) 2004-03-12 2015-04-28 Ingenia Holdings Limited Methods and apparatuses for creating authenticatable printed articles and subsequently verifying them
US8502668B2 (en) 2004-03-12 2013-08-06 Ingenia Holdings Limited System and method for article authentication using blanket illumination
US8699088B2 (en) 2004-03-12 2014-04-15 Ingenia Holdings Limited Methods and apparatuses for creating authenticatable printed articles and subsequently verifying them
US20080260199A1 (en) * 2004-08-13 2008-10-23 Ingenia Technology Limited Authenticity Verification Methods, Products and Apparatuses
US20080294900A1 (en) * 2004-08-13 2008-11-27 Ingenia Technology Limited Authenticity Verification of Articles Using a Database
US8103046B2 (en) * 2004-08-13 2012-01-24 Ingenia Holdings Limited Authenticity verification of articles using a database
US7734102B2 (en) 2005-05-11 2010-06-08 Optosecurity Inc. Method and system for screening cargo containers
US7991242B2 (en) 2005-05-11 2011-08-02 Optosecurity Inc. Apparatus, method and system for screening receptacles and persons, having image distortion correction functionality
US20070041612A1 (en) * 2005-05-11 2007-02-22 Luc Perron Apparatus, method and system for screening receptacles and persons, having image distortion correction functionality
US20070041613A1 (en) * 2005-05-11 2007-02-22 Luc Perron Database of target objects suitable for use in screening receptacles or people and method and apparatus for generating same
US20080062262A1 (en) * 2005-05-11 2008-03-13 Luc Perron Apparatus, method and system for screening receptacles and persons
US8078875B2 (en) 2005-07-27 2011-12-13 Ingenia Holdings Limited Verification of authenticity
US20100316251A1 (en) * 2005-12-23 2010-12-16 Ingenia Holdings Limited Optical Authentication
US8497983B2 (en) 2005-12-23 2013-07-30 Ingenia Holdings Limited Optical authentication
US7899232B2 (en) 2006-05-11 2011-03-01 Optosecurity Inc. Method and apparatus for providing threat image projection (TIP) in a luggage screening system, and luggage screening system implementing same
US20090175411A1 (en) * 2006-07-20 2009-07-09 Dan Gudmundson Methods and systems for use in security screening, with parallel processing capability
WO2008019473A1 (en) * 2006-08-16 2008-02-21 Optosecurity Inc. Method and apparatus for use in security screening providing incremental display of threat detection information and security system incorporating same
US20080152082A1 (en) * 2006-08-16 2008-06-26 Michel Bouchard Method and apparatus for use in security screening providing incremental display of threat detection information and security system incorporating same
US8781066B2 (en) 2006-09-18 2014-07-15 Optosecurity Inc. Method and apparatus for assessing characteristics of liquids
US20100002834A1 (en) * 2006-09-18 2010-01-07 Optosecurity Inc Method and apparatus for assessing characteristics of liquids
US8116428B2 (en) 2006-09-18 2012-02-14 Optosecurity Inc. Method and apparatus for assessing characteristics of liquids
US8009800B2 (en) 2006-10-02 2011-08-30 Optosecurity Inc. Tray for assessing the threat status of an article at a security check point
US8009799B2 (en) 2006-10-02 2011-08-30 Optosecurity Inc. Tray for use in assessing the threat status of an article at a security check point
US20100027741A1 (en) * 2006-10-02 2010-02-04 Aidan Doyle Tray for assessing the threat status of an article at a security check point
US20090196396A1 (en) * 2006-10-02 2009-08-06 Optosecurity Inc. Tray for assessing the threat status of an article at a security check point
WO2008119151A1 (en) * 2007-03-30 2008-10-09 Optosecurity Inc. User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same
US8494210B2 (en) 2007-03-30 2013-07-23 Optosecurity Inc. User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same
EP2165188A4 (en) * 2007-06-21 2014-01-22 Rapiscan Systems Inc Systems and methods for improving directed people screening
EP2165188A2 (en) * 2007-06-21 2010-03-24 Rapiscan Security Products, Inc. Systems and methods for improving directed people screening
US20110007870A1 (en) * 2007-10-01 2011-01-13 Optosecurity Inc. Method and devices for assessing the threat status of an article at a security check point
US8014493B2 (en) 2007-10-01 2011-09-06 Optosecurity Inc. Method and devices for assessing the threat status of an article at a security check point
US20100207741A1 (en) * 2007-10-10 2010-08-19 Optosecurity Inc. Method, apparatus and system for use in connection with the inspection of liquid merchandise
WO2009114928A1 (en) * 2008-03-17 2009-09-24 Optosecurity, Inc. Method and apparatus for assessing characteristics of liquids
US9170212B2 (en) 2008-09-05 2015-10-27 Optosecurity Inc. Method and system for performing inspection of a liquid product at a security checkpoint
US20100208972A1 (en) * 2008-09-05 2010-08-19 Optosecurity Inc. Method and system for performing x-ray inspection of a liquid product at a security checkpoint
US8867816B2 (en) 2008-09-05 2014-10-21 Optosecurity Inc. Method and system for performing X-ray inspection of a liquid product at a security checkpoint
US20110172972A1 (en) * 2008-09-15 2011-07-14 Optosecurity Inc. Method and apparatus for asssessing properties of liquids by using x-rays
US8682076B2 (en) 2008-12-19 2014-03-25 Ingenia Holdings Limited Signature generation for use in authentication and verification using a non-coherent radiation source
US8615475B2 (en) 2008-12-19 2013-12-24 Ingenia Holdings Limited Self-calibration
US8401309B2 (en) * 2008-12-30 2013-03-19 International Business Machines Corporation Security screening image analysis simplification through object pattern identification
US20100166322A1 (en) * 2008-12-30 2010-07-01 International Business Machines Corporation Security Screening Image Analysis Simplification Through Object Pattern Identification
US8903180B2 (en) 2008-12-30 2014-12-02 International Business Machines Corporation Security screening image analysis simplification through object pattern identification
US8831331B2 (en) 2009-02-10 2014-09-09 Optosecurity Inc. Method and system for performing X-ray inspection of a product at a security checkpoint using simulation
US9297693B2 (en) 2009-02-25 2016-03-29 The University Of Memphis Research Foundation Spatially-selective reflector structures, reflector disks, and systems and methods for use thereof
US8508592B2 (en) 2009-02-25 2013-08-13 The University Of Memphis Research Foundation Spatially-selective reflector structures, reflector disks, and systems and methods for use thereof
US9157873B2 (en) * 2009-06-15 2015-10-13 Optosecurity, Inc. Method and apparatus for assessing the threat status of luggage
US20120093367A1 (en) * 2009-06-15 2012-04-19 Optosecurity Inc. Method and apparatus for assessing the threat status of luggage
US8879791B2 (en) 2009-07-31 2014-11-04 Optosecurity Inc. Method, apparatus and system for determining if a piece of luggage contains a liquid product
US9194975B2 (en) 2009-07-31 2015-11-24 Optosecurity Inc. Method and system for identifying a liquid product in luggage or other receptacle
US8892556B2 (en) 2009-11-10 2014-11-18 Ingenia Holdings Limited Optimisation
US20150181136A1 (en) * 2011-03-29 2015-06-25 Thermal Matrix USA, Inc. Method and system for detecting concealed objects using handheld thermal imager
US10949677B2 (en) 2011-03-29 2021-03-16 Thermal Matrix USA, Inc. Method and system for detecting concealed objects using handheld thermal imager
US8780345B2 (en) 2011-04-22 2014-07-15 The University Of Memphis Research Foundation Spatially-selective disks, submillimeter imaging devices, methods of submillimeter imaging, profiling scanners, spectrometry devices, and methods of spectrometry
US10422919B2 (en) 2011-09-07 2019-09-24 Rapiscan Systems, Inc. X-ray inspection system that integrates manifest data with imaging/detection processing
US9632206B2 (en) 2011-09-07 2017-04-25 Rapiscan Systems, Inc. X-ray inspection system that integrates manifest data with imaging/detection processing
US10830920B2 (en) 2011-09-07 2020-11-10 Rapiscan Systems, Inc. Distributed analysis X-ray inspection methods and systems
US11099294B2 (en) 2011-09-07 2021-08-24 Rapiscan Systems, Inc. Distributed analysis x-ray inspection methods and systems
US10509142B2 (en) 2011-09-07 2019-12-17 Rapiscan Systems, Inc. Distributed analysis x-ray inspection methods and systems
DE102012111201A1 (en) * 2012-11-21 2014-05-22 Eads Deutschland Gmbh Sensor system for detecting e.g. weapons hidden in clothing of aircraft passenger in airport, has sensor devices arranged such that monitored area is detected from different viewpoints, and evaluating device evaluating detected data
DE102012111201B4 (en) * 2012-11-21 2014-07-17 Eads Deutschland Gmbh Sensor system and sensor device for it
US10013750B2 (en) * 2012-12-27 2018-07-03 Tsinghua University Object detection methods, display methods and apparatuses
US11280898B2 (en) 2014-03-07 2022-03-22 Rapiscan Systems, Inc. Radar-based baggage and parcel inspection systems
US9891314B2 (en) 2014-03-07 2018-02-13 Rapiscan Systems, Inc. Ultra wide band detectors
US10134254B2 (en) 2014-11-25 2018-11-20 Rapiscan Systems, Inc. Intelligent security management system
US10713914B2 (en) 2014-11-25 2020-07-14 Rapiscan Systems, Inc. Intelligent security management system
US10302807B2 (en) 2016-02-22 2019-05-28 Rapiscan Systems, Inc. Systems and methods for detecting threats and contraband in cargo
EP3764281A1 (en) * 2016-02-22 2021-01-13 Rapiscan Systems, Inc. Methods of identifying firearms in radiographic images
US10768338B2 (en) 2016-02-22 2020-09-08 Rapiscan Systems, Inc. Systems and methods for detecting threats and contraband in cargo
US11287391B2 (en) 2016-02-22 2022-03-29 Rapiscan Systems, Inc. Systems and methods for detecting threats and contraband in cargo
US11163939B2 (en) * 2017-12-21 2021-11-02 Anritsu Corporation Article inspection apparatus
JP2019111473A (en) * 2017-12-21 2019-07-11 アンリツインフィビス株式会社 Article inspection device
JP7062434B2 (en) 2017-12-21 2022-05-06 アンリツ株式会社 Goods inspection equipment
US20210239875A1 (en) * 2020-01-30 2021-08-05 Hitachi, Ltd. Alert output timing control apparatus, alert output timing control method, and non-transitory computer readable storage medium
WO2022062872A1 (en) * 2020-09-22 2022-03-31 Kyndryl, Inc. Identifying a distributed threat in a security zone
US11538319B2 (en) * 2020-09-22 2022-12-27 Kyndryl, Inc. Identifying a distributed threat in a security zone

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US7734102B2 (en) 2010-06-08
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