Image analysis – Pattern recognition – Template matching
Reexamination Certificate
2006-08-08
2006-08-08
Armed, Samir (Department: 2623)
Image analysis
Pattern recognition
Template matching
C382S217000
Reexamination Certificate
active
07088863
ABSTRACT:
A method for illumination-independent change detection in a pair of original registered gray images based on blob extraction. Blobs are extracted from the two original images and their negatives, using an enhanced blob extraction algorithm based on connectivity analysis along gray-levels. Blobs extracted from the first original and negative images are compared with blobs extracted from the second original and negative images to determine whether each blob has a corresponding blob, i.e. whether it is a matched or unmatched blob. All unmatched blobs are tested for significance as “blobs of change” using a fitness measure based on either a ratio of saliency gradients, or a product of this ratio and a gradient distribution measure. The disclosed method is exact, fast, robust, illumination-insensitive, and has low time-complexity
REFERENCES:
patent: 6028970 (2000-02-01), DiPiazza et al.
patent: 6691126 (2004-02-01), Syeda-Mahmood
patent: 6829371 (2004-12-01), Nichani et al.
Kurt et al. “Illumination independent change detection for real world image sequences”, Computer Vision, Graphics, and Image Processing, vol. 46, pp. 387-399, 1989.
Teasdale et al. “Functional MRI Study of the Cognitive Generation of Affect”, American Journal of Psychiatry (GPSI), v156 n2, p. 209-215, p. 7 Feb. 1999.
Averbuch Amir
Miller Ofer
Armed Samir
Infowrap Systems LTD
Le Brian
LandOfFree
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