Methods and systems for detecting presence of materials

• US 20090202128A1
• Filed: 02/06/2006
• Published: 08/13/2009
• Est. Priority Date: 02/25/2005
• Status: Active Grant

• Current Assignee: Iscon Imaging, Inc.
• Original Assignee: Iscon Video Imaging, Inc.
• Inventors: Vilenchick, Lev Z., Doubinina, Galina, Gorian, Izrail
• Granted Patent: US 7,709,796 B2
• Time in Patent Office: Days
• US Class Current: 382/132
• CPC Class Codes: G01N 2021/1793 Remote sensing
• CPC Class Codes: G01N 21/3563 for analysing solids; Preparation of samples therefor
• CPC Class Codes: G01N 21/71 thermally excited
• CPC Class Codes: G01V 8/00 Prospecting or detecting by optical means
• CPC Class Codes: G02B 26/008 in the form of devices for effecting sequential colour changes, e.g. colour wheels

Abstract

Methods and systems for detecting the presence of concealed objects.

Claims

1. A system for detecting the presence of selected materials, the system comprising:

an image acquisition device receiving electromagnetic radiation from an emitting body and acquiring an image of the emitting body from the received electromagnetic radiation;

a filter assembly comprising a plurality of filters, said filter assembly disposed between the emitting body and said image acquisition device;

each filter from said plurality of filters in said filter assembly allowing transmission in substantially a predetermined range of wavelengths, one filter from said plurality of filters being disposed to allow transmission of electromagnetic radiation to said image acquisition device;

a feature extraction component, said feature extraction component identifying at least one region in said image, said feature extraction component receiving said image of the emitting body from said image acquisition device, said image of the emitting body corresponding to transmission of electromagnetic radiation, emitted by the emitting body, through one filter from said plurality of filters;

an analysis component receiving said at least one region, said analysis component obtaining characteristics of said at least one region in at least one predetermined image, said at least one predetermined image corresponding to transmission of electromagnetic radiation, emitted by the emitting body, through at least one predetermined filter from said plurality of filters, and providing at least one output image of said at least one region in said at least one predetermined image;

said at least one output image being at least one image of a region of interest for detecting presence of predetermined materials;

a database of wavelength spectrum data corresponding to at least one material from said predetermined materials;

said predetermined materials comprising explosives; and

a detection component receiving said at least one output image of said least one region in said at least one predetermined image from said analysis component and the wavelength spectrum data from said database and also detecting presence of said at least one material by comparing said at least one image of said at least one region to the wavelength spectrum data.

2. The system of claim 1 wherein at least some of said received electromagnetic radiation is in the range of about 1μ

to about 15μ

.

3. system of claim 2 wherein at least some of said received electromagnetic radiation is in The range of about 8μ

to about 14μ

.

4. The system of claim 2 wherein at least some of said received electromagnetic radiation is in the range of about 3μ

to about 5μ

.

5. The system of claim 1 wherein said image of the emitting body is another predetermined image, said another predetermined image corresponding to transmission of electromagnetic radiation from the emitting body through another predetermined filter from said plurality of filters.

6. The system of claim 5 wherein another filter from said plurality of filters is a substantially non-attenuating filter.

7. The system of claim 1 further comprising an adaptive component adjusting parameters of said feature extraction component.

8. The system of claim 7 wherein said adaptive component also adjusts parameters of said analysis component.

9. The system of claim 7 wherein said adaptive component also adjusts parameters of said detection component.

10. The system of claim 7 wherein said adaptive component comprises a neural network.

11. The system of claim 1 wherein said feature extraction component comprises a spatial frequency filter bank.

12. The system of claim 11 wherein said spatial frequency filter bank comprises a wavelet based filter bank.

13. The system of claim 1 wherein said feature extraction component comprises:

a labeling subcomponent providing a identifying label corresponding to a predetermined region.

14. The system of claim 1 wherein said analysis component comprises:

an image extraction subcomponent providing at least one extracted image of said at least one region in said at least one predetermined image;

a measuring subcomponent determining physical characteristics of said at least one extracted image; and

another measuring subcomponent determining shape characteristics of said at least one extracted image.

15. The system of claim 14 wherein said physical characteristics comprise intensity.

16. The system of claim 1 wherein said wavelength spectrum comprises infrared signature data.

17. The system of claim 1 further comprising another filter assembly, said another filter assembly comprising another plurality of filters, said another filter assembly being disposed between the emitting body and said acquisition device;

each filter from said another plurality of filters in said another filter assembly being capable of allowing transmission in substantially a predetermined polarization.

18. The system of claim 1 further comprising a noise reduction component receiving image data from said image acquisition device, providing image data to said feature extraction component and said analysis component and of improving signal to noise ratio in said image data.

49. The system of claim 1 wherein said characteristics comprise moment invariants.

50. The system of claim 14 wherein said characteristics comprise moment invariants.

19. A method for detecting the presence of selected materials. the selected materials including explosives. the method comprising the steps of:

acquiring a plurality of images, each of the plurality of images corresponding to received electromagnetic radiation in substantially a different predetermined range of wavelengths;

identifying at least one region from one image from the plurality of images;

detecting, from comparing an image of said at least one region in a predetermined image from the plurality of images to wavelength spectrum data corresponding to characteristics of predetermined materials, the predetermined materials including explosives, presence of at least one material from the predetermined materials.

20. The method of claim 19 further comprising the step of obtaining wavelength spectrum data corresponding to characteristics of at least one predetermined material, said at least one predetermined material including explosives.

21. The method of claim 20 wherein said at least one predetermined material comprise at least one composite material.

22. The method of claim 19 wherein the wavelength spectrum data comprises infrared signature data.

23. The method of claim 19 wherein the step of obtaining at least one region comprises the step of:

providing an identifying label corresponding to a predetermined region.

24. The method of claim 19 wherein the step of detecting the presence of at least one material comprises the steps of:

providing at least one extracted image of said at least one region in said at least another predetermined image;

determining physical characteristics of said at least one extracted image; and

determining shape characteristics of said at least one extracted image.

25. The method of claim 24 wherein said physical characteristics comprise intensity.

26. The method of claim 24 wherein the step of detecting the presence of at least one material further comprises the step of comparing said at least one extracted image corresponding to received electromagnetic radiation in substantially a different predetermined range of wavelengths to said wavelength spectrum data.

27. The method of claim 19 wherein the step of detecting the presence of at least one material comprises the steps of:

providing at least one extracted image of said at least one region in said predetermined image;

determining physical characteristics of said at least one extracted image; and

determining shape characteristics of said at least one extracted image.

28. The method of claim 26 wherein the step of detecting the presence of at least one material further comprises the step of comparing said at least one extracted image to said wavelength spectrum data.

29. A computer usable medium having computer readable code embodied therein, said computer readable code being capable of causing a computer system to:

receive a predetermined image from an image acquisition device;

identify at least one region in said predetermined image;

obtain at least one extracted image of said at least one region;

obtain wavelength spectrum data from a database; and

detect presence of at least one material from predetermined materials, the

predetermined materials including explosives, from said at least one extracted image and said wavelength spectrum data.

30. The computer usable medium of claim 29 wherein said computer readable code, in causing said computer system to identify at least one region, is capable of causing said computer system to:

filter said predetermined image utilizing a spatial frequency filter bank; and

adaptively threshold said filtered predetermined image.

31. The computer usable medium of claim 30 wherein said computer readable code also causes said computer system to adjust parameters of said spatial frequency filter bank.

32. The computer usable medium of claim 31 wherein said computer readable code also causes said computer system to apply a neural network to adjust parameters of said spatial frequency filter bank.

33. The computer usable medium of claim 30 wherein said computer readable code also causes said computer system to adjust said adaptive thresholds.

34. The computer usable medium of claim 30 wherein said computer readable code also causes said computer system to apply a neural network to adjust said adaptive thresholds.

35. The computer usable medium of claim 30 wherein said computer readable code also causes said computer system to providing an identifying label corresponding to a predetermined region.

36. The computer usable medium of claim 29 wherein said computer readable code also causes said computer system to classify at least one identified region as being of interest.

37. The computer usable medium of claim 29 wherein said computer readable code, in obtaining said at least one extracted image causes said computer system to:

determine physical characteristics of said at least one extracted image; and

determine shape characteristics of said at least one extracted image.

38. The computer usable medium of claim 37 wherein said computer readable code also causes said computer system to:

decide, utilizing said physical characteristics and said shape characteristics in a decision algorithm, to analyze said at least one extracted image.

39. The computer usable medium of claim 38 wherein said decision algorithm comprises a neural network.

40. The computer usable medium of claim 38 wherein said computer readable code also causes said computer system to:

compare said at least one extracted image, corresponding to received electromagnetic radiation in substantially at least one predetermined range of wavelengths, to said wavelength spectrum data.

41. The computer usable medium of claim 35 wherein said wavelength spectrum data comprises infrared signatures.

42. The computer usable medium of claim 29 wherein said computer readable code also causes said computer system to improve signal to noise ratio in said predetermined image.

43. The computer usable medium of claim 42 wherein, in improving signal to noise ratio, said computer readable code causes said computer system to accumulate data from said predetermined image.

44. The computer usable medium of claim 29 wherein said computer readable code, in obtaining said at least one extracted image causes said computer system to:

provide said at least one extracted image of said at least one region in at least another predetermined image;

determine physical characteristics of said at least one extracted image; and

determine shape characteristics of said at least one extracted image.

45. The computer usable medium of claim 44 wherein said computer readable code also causes said computer system to:

decide, utilizing said physical characteristics and said shape characteristics in a decision algorithm, to analyze said at least one extracted image.

46. The computer usable medium of claim 45 wherein said decision algorithm comprises a neural network.

47. The computer usable medium of claim 45 wherein said computer readable code also causes said computer system to:

compare said at least one extracted image, corresponding to received electromagnetic radiation in substantially a different predetermined range of wavelengths, to said wavelength spectrum data,

48. The computer usable medium of claim 47 wherein said wavelength spectrum data comprises infrared signatures.