Visual pattern discrimination using local operators generated by a learning algorithm

Presents an efficient algorithm for the generation of local operators (LOs) to maximize any arbitrary figure of merit associated with one or more filtered images. This is demonstrated on 5×5 masks with constraints that define a 13-dimensional system, and examples are given in feature extraction, in visual texture segmentation and classification, and in target detection