Median binary pattern for textures classification

Abstract

A texture classification method using a binary texture metric is presented. The method consists of extracting local structures and describing their distribution by a global approach. Texture primitives are determined by a localized thresholding against the local median. The local spatial signature of the thresholded image is uniquely encoded as a scalar value, whose histogram helps characterize the overall texture. A multi resolution approach has been tried to handle variations in scale. Also, the encoding scheme facilitates a rich class of equivalent structures related by image rotation. Then, we demonstrate - using a set of classifications, that the proposed method significantly improves the capability of texture recognition and outperforms classical algorithms. © Springer-Verlag Berlin Heidelberg 2007.