MITES (mit-æs): A model-driven, iterative texture segmentation algorithm

Abstract A new algorithm for segmentation of images containing textured regions is presented. The algorithm is named MITES, which is an acronym for M odel-driven, I terative, T exture S egmentation. MITES represents an alternative to the traditional pixel classification approach to texture image segmentation because it makes explicit use of the spatial coherence of uniformly textured regions.

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