Image matching

Image analysis – Pattern recognition – Template matching

Reexamination Certificate

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Details

C382S217000, C382S218000, C382S219000, C382S220000, C382S221000

Reexamination Certificate

active

07046850

ABSTRACT:
A method for matching digital images, including regularization of image features of a first digital image, composed of pixels, defining a finite set of candidate values, wherein a candidate value represents a candidate for a possible match between image features of the first image and a second image, establishing a matching penalty function for evaluation of the candidate values, evaluating the matching penalty function for every candidate value, selection of a candidate value based on the result of the evaluation of the matching penalty function, regularization of the first image by segmentation of the first image, comprising assigning at least part of the pixels of the first image to respective segments, determining a certainty parameter for at least part of the pixels of a segment, and establishing the matching penalty function to be at least partially based on the certainty parameter.

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S. Kumar et al. “A New Technique for the Segmentation of Lumen from Endoscopic Images by Differential Region Growing”, I.E.E.E. 1999, pp. 414-417.
C-H Yag et al; “Motion-Based Video Segmentation Using Continuatin Method and Robust Cost Functions”, SPIE Visual Communications and Image Processing, XX, XX, vol. 3309, Jan. 24, 1998, pp. 774-785, XP002168207.
Co-Pending Patent Application Titled “Segmentation of Digital Images” (Our Refernce No. NL000493).

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