Optimal Gabor-filter design for texture segmentation

An algorithm for designing optimal Gabor filters is presented. The algorithm assumes that an image contains two different textures and that prototype samples of the desired textures are given. It uses a decision-theoretic framework, based on modeling a Gabor-filter output as a Rician distribution, for designing optimal filters. To gain more robust results, a multiple-filter segmentation scheme is proposed. Experimental results verify the efficacy of the methods presented here.<>