[Reading] Contour and Texture Analysis for Image Segmentation

This paper propose a general algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture. It uses texture features for segmentation. A texture descriptor is a vector of filter bank outputs. Textons are found by clustering. Affinities are given by similarities of texton histograms over windows given by the "local scale" of the texture. Having get a locall measure, it use the spectral graph theoretic framework of normalized cuts to find partitions.