Modulation domain texture decomposition

Abstract

We introduce a novel texture analysis algorithm capable of extracting visually meaningful and locally coherent sub-textural components from images. The algorithm operates in the modulation domain where texture is represented by locally coherent amplitude and frequency modulation functions. The texture components are iteratively extracted based on a new quantitative coherency measure. The effectiveness of the algorithm is demonstrated on several well-known Brodatz textures.