Automatic significant image generation based on image...

Details Automatic significant image generation based on image... Automatic significant image generation based on image...

2005-10-25

2009-12-29

Kassa, Yosef (Department: 2624)

Image analysis

Image enhancement or restoration

Image filter

C382S190000, C382S209000, C382S219000

Reexamination Certificate

active

07639890

ABSTRACT:
The present invention provides for the automatic generation of a series of significant images. One or more representative significant images are used to generate a pattern description. The pattern description can include any information useful to identify an object of interest, or pattern. The pattern description can include a mathematical shape definition of one or more patterns, a search boundary defining an image area to search for matching patterns, and one or more pattern characteristics. The pattern description is compared to one or more images and one or more amounts of match between the pattern description and each image is obtained. The amount(s) of match are then compared to one or more thresholds. If one or more of the amounts of match exceed one or more thresholds or are within an upper and lower threshold window, then the image is automatically selected for inclusion in a series of significant images.

REFERENCES:
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patent: 7043474 (2006-05-01), Mojsilovic et al.
patent: 7180086 (2007-02-01), Leblans et al.
patent: 7272593 (2007-09-01), Castelli et al.
patent: 7298880 (2007-11-01), Nishiura
Petricoin III, Emanuel; Ardekani, Ali M.; Hitt, Ben A.; Levin, Peter J.; Fusaro, Vincent A.; Steinberg, Seth M.; Mills, Gordon B.; Simone, Charles; Fishman, David A.; Kohn, Elise C.; Liotta, Lance A.;Use of Proteomic Patterns in Serum to Identify Ovarian Cancer, The Lancet, vol. 359:572-577, Feb. 16, 2002.

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