Automatic concealed object detection system having a pre-scan stage

• US 5,182,764 A
• Filed: 10/03/1991
• Issued: 01/26/1993
• Est. Priority Date: 10/03/1991
• Status: Expired due to Term

• Current Assignee: Morpho Detection (Safran SA)
• Original Assignee: Invision Technologies, Inc. (GE Aerospace)
• Inventors: Harmann, Jonathan, Peschmann, Kristian R.
• Primary Examiner(s): Hannaher, Constantine
• Assistant Examiner(s): CHU, KIM KWOK
• Application Number:
  US07/770,552
• Time in Patent Office: 481 Days
• Field of Search: 378/4, 378/8, 378/146, 378/108, 378/110, 378/112, 378/160, 378/54, 378/56, 378/57, 378/, 378/62, 378/70, 378/99, 378/53, 378/69, 250/442.1
• US Class Current: 378/57
• CPC Class Codes: G01V 5/226 using tomography
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/30112 Baggage; Luggage; Suitcase
• CPC Class Codes: G06T 7/0004 Industrial image inspection

Abstract

An apparatus for detecting concealed objects, such as explosives, drugs, or other contraband is disclosed. The apparatus uses CT scanning to identify concealed objects with a density corresponding to the density of a target object such as explosives or drugs. To reduce the amount of CT scanning required, a number of prescanning approaches are disclosed. Based upon the prescan data, selected locations for CT scanning are identified. CT scanning is undertaken at the selected locations. The resultant CT scan data is utilized to automatically identify objects of interest. This identification of objects may be verified through further automatic analysis of such attributes as shape, texture, and context. Finally, the objects of interest may be reconstructed and displayed on a computer monitor for visual analysis by an operator.

Claims

1. An apparatus for automatically detecting a target object within a container, said apparatus comprising:

means for prescanning said container to form prescan data;

means for determining selected locations for CT scanning of said container, said determining means utilizing said prescan data;

means for CT scanning said container at said selected locations to form CT data, said CT scanning means being responsive to said determining means; and

means for identifying automatically said target object within said CT data, said identifying means receiving said CT data from said scanning means, wherein said target object within said CT data corresponds to said target object within said container.

2. The apparatus of claim 1 wherein said means for prescanning includes a conveyor for moving said container through a stationary CT system to produce prescan data.

3. The apparatus of claim 1 wherein said means for prescanning includes a line scanner.

4. The apparatus of claim 1 wherein said means for prescanning includes a conveyor for moving said container through a rotating CT system to produce prescan data in the form of sino projection data.

5. The apparatus of claim 4 wherein said sino projection data is utilized by said identifying means to identify sheet-like objects.

6. The apparatus of claim 1 wherein said determining means and said identifying means rely upon attenuation information corresponding to the attenuation of X-rays through said container.

7. The apparatus of claim 5 wherein said attenuation information is grouped so as to define objects.

8. The apparatus of claim 7 wherein said grouped attenuation information is converted to mass information.

9. The apparatus of claim 8 wherein said identifying means relies upon said mass information and the shape of said objects.

10. The apparatus of claim 8 wherein said identifying means relies upon said mass information and the texture of said objects.

11. The apparatus of claim 8 wherein said identifying means relies upon said mass information and the dual energy signature of said objects.

12. The apparatus of claim 1 further comprising:

means for highlighting said target object on a computer monitor for visual inspection by an operator.

13. The apparatus of claim 12 further comprising:

means for providing a three dimensional construction of said target object on said computer monitor for visual inspection by an operator.

14. The apparatus of claim 1 wherein said means for prescanning includes means for prescreening.

15. An apparatus for automatically detecting a target object within a container, said apparatus comprising:

a conveyor responsive to a conveyor motion controller;

a prescanner providing X-ray scanning of said container as said container moves past said prescanner on said conveyor, said prescanner forming prescan data;

a CT scan selection system for receiving said prescan data and determining scan locations for CT scans of said container;

a CT system for CT scanning said container at said determined scan locations to form CT data, said CT system operating cooperatively with said conveyor whereby said conveyor positions said container at said determined scan locations; and

an object detection system for receiving said CT data, said object detection system converting said CT data into data objects with calculated densities corresponding to the densities of the physical objects within said container, whereby said target objects are identified by their corresponding densities.

16. The apparatus of claim 15 wherein said prescanner is said CT system.

17. The apparatus of claim 15 wherein said prescanner is a line scanner.

18. The apparatus of claim 15 wherein said calculated densities of said data objects are combined with information regarding the area of said data objects to determine mass information for said data objects, said mass information for said data objects corresponding to the mass information for said physical objects within said container.

19. The apparatus of claim 18 wherein said object detection system relies upon said mass information and the shape of said data objects.

20. The apparatus of claim 19 wherein said object detection system relies upon said mass information and the texture of said data objects.

21. The apparatus of claim 18 wherein said object detection system relies upon said mass information and the dual energy signature of said data objects.

22. The apparatus of claim 15 wherein said object detection system further comprises means for highlighting said target object on a computer monitor for visual inspection by an operator.

23. A method of automatically detecting a target object within a container, said method comprising the steps of:

prescanning said container to form prescan data;

determining selected locations for CT scanning of said container, said determining step relying upon said prescan data;

CT scanning said container at said selected locations to form CT data; and

identifying automatically said target object within said CT data, said identifying step relying upon said CT data from said scanning step.

24. The method of claim 23 wherein said prescanning step includes utilizing a line scanner.

25. The method of claim 23 wherein said prescanning includes moving said container through a rotating CT system to produce prescan data in the form of sino projection data.

26. The method of claim 25 wherein said identifying step includes utilizing said sino projection data to identify sheet-like objects.

27. The method of claim 23 wherein said determining step and said identifying step rely upon attenuation information corresponding to the attenuation of X-rays through said container.

28. The method of claim 23 wherein said attenuation information is grouped so as to define data objects during said determining step and said identifying step, said data objects corresponding to physical objects within said container.

29. The method of claim 28 wherein said grouped attenuation information is converted to mass information during said determining step and said identifying step.

30. The method of claim 29 wherein said identifying step includes utilizing said mass information and the shape of said data objects.

31. The method of claim 29 wherein said identifying step includes utilizing said mass information and the texture of said data objects.

32. The method of claim 29 wherein said identifying step includes utilizing said mass information and the dual energy signature of said data objects.

33. The method of claim 23 further comprising the step of:

highlighting said target object on a computer monitor for visual inspection by an operator.

34. The method of claim 23 wherein said prescanning step includes prescreening.