Methods and systems for detecting concealed objects

Image analysis – Pattern recognition

Reexamination Certificate

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C250S332000, C250S334000, C250S341600, C382S100000, C702S131000, C702S134000

Reexamination Certificate

active

07664324

ABSTRACT:
Methods and systems for detecting the presence of concealed objects. One embodiment of the method of these teachings for detecting the presence of concealed objects is passive, does not require any external radiation source, uses thermal radiation of a body as a source of radiation. Other embodiments include unique systems, devices, methods, and apparatus to determine the presence of a concealed object.

REFERENCES:
patent: 5007432 (1991-04-01), Keller et al.
patent: 5070242 (1991-12-01), McClelland et al.
patent: 5227800 (1993-07-01), Huguenin et al.
patent: 5747719 (1998-05-01), Bottesch
patent: 6234669 (2001-05-01), Kienitz et al.
patent: 6353224 (2002-03-01), Sinclair et al.
patent: 6359582 (2002-03-01), MacAleese et al.
patent: 6442419 (2002-08-01), Chu et al.
patent: 6940071 (2005-09-01), Ramsden et al.
patent: 7167123 (2007-01-01), Hausner et al.
patent: 7202478 (2007-04-01), Ramsden et al.
patent: 7365672 (2008-04-01), Keller et al.
patent: 2004/0000645 (2004-01-01), Ramsden et al.
patent: 2005/0104603 (2005-05-01), Peschmann et al.
patent: 2005/0230604 (2005-10-01), Rowe et al.
patent: 2007/0075246 (2007-04-01), Gatt
patent: 2008/0129581 (2008-06-01), Douglass et al.
patent: 2008/0195347 (2008-08-01), Gatt
patent: WO 87/00632 (1987-01-01), None
patent: 9100985 (1991-01-01), None
patent: WO 03/095998 (2003-11-01), None
patent: WO 2005/019863 (2005-03-01), None
patent: WO 2006090353 (2006-08-01), None
International Search Report dated Feb. 26, 2009 for PCT/US08/54513. Applicant: Iscon Video Imaging, Inc.
Mukesh, M.C. et al. Survey of Image Denoising Techniques. Proc. of GSPx 2004 (Sep. 27-30, 2004) 1-7.
Scheunders, P. Denoising of multispectral images using wavelet thresholding. Proc. SPIE Image and Signal Proc. for Remote Sensing IX (2003) 28-35.
Pratt, W. K. Digital Image Processing. John Wiley & Sons (1978). ISBN 0-471-01888-0, 311-318.
Young, T. Y. et al (Eds). Handbook of Pattern Recognition and Image Processing. Harcourt Brace Jovanovich (1986). ISBN 0-121-7745600-2. Chapter 9 “Image Segmentation,” 215-231.
Trier, O.D. et al. Evaluation of Binarization Methods for Document Images. IEEE Trans. on Pattern Anal. and Machine Intell. 17 (1995) 312-315.
Liapsis, S. et al. Colour and texture segmentation using wavelet frame analysis, deterministic relaxation, and fast marching algorithms. J. Vis. Commun. Image R. 15 (2004) 1-26.
Keyes, L. et al. Using Moment Invariants for Classifying Shapes on Large-Scale Maps. Computers, Environment and Urban Systems 25. (2001) Available at http://eprints.may.ie/archive/00000064/. Downloaded Jul. 27, 2007.
Torres, R.S. et al. A Graph-based Approach for Multiscale Shape Analysis. Pattern Recognition 37(6) (2004) 1163-1174.
Kervrann, C. et al. A Markov Random Field model-based approach to unsupervised texture segmentation using local and global spatial statistics. IEEE Trans. on Image Process. 4(6) 1995, 856-862.
Trier, O.D. et al. Feature Extraction Methods for Character Recognition—a Survey. Pattern Recognition 29(4) 1996, 641-662.
De Castro, F.C.C. et al. Invariant Pattern Recognition of 2D Images Using Neural Networks and Frequency-Domain Representation. Int'l Conf. on Neural Networks 3(9), 1997, 1644-1649.
International Search Report for PCT/US06/61273 filed Nov. 28, 2006, dated Mar. 4, 2008. Applicant: Iscon Video Imaging, Inc.

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