Context discriminate classification for digital images

Details Context discriminate classification for digital images Context discriminate classification for digital images

2006-02-14

2006-02-14

Wu, Jingge (Department: 2623)

Image analysis

Pattern recognition

Classification

C382S103000, C382S132000, C382S228000

Reexamination Certificate

active

06999624

ABSTRACT:
Classification of targets in a digital image is accomplished by evaluating windowed portions of the image. A weighted sum is formed for each overlapping windowed portion of an image using a feature set corresponding thereto, each window's feature set and weighted sum is normalized, and a context matrix is defined for each window. A normalized score is defined for each window. A threshold criteria is compared to a maximum score that is based on the context matrix and the normalized score associated with each window. Each window having its maximum score satisfy the threshold criteria is classified as a possible target window and assigned to a group based on location of the possible target window in the image and its maximum score. A group score is assigned to each group. Each group having its corresponding group score satisfying a group threshold criteria is classified as a target.

REFERENCES:
patent: 5787201 (1998-07-01), Nelson et al.
patent: 5982921 (1999-11-01), Alumot et al.
patent: 6026174 (2000-02-01), Palcic et al.
patent: 6493460 (2002-12-01), MacAulay et al.
patent: 6687397 (2004-02-01), DeYong et al.
patent: 2001/0031076 (2001-10-01), Campanini et al.

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