Available Technology

Context discriminate classification for digital images

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.

Susan Nelson

Patent Number: 
Patent Issue Date: 
March 14, 2006
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