Texprint: A new algorithm to discriminate textures structurally

Abstract

In this work a new algorithm for texture analysis is presented. Over a region with size NxN in the image, a texture print is found by means of counting the number of changes in the sign of the derivative in the gray level intensity function by rows and by columns. These two histograms (Hx and Hy) are represented as a unique string R of symbols. In order to discriminate different texture regions a distance measure on strings based on minimum-cost sequences of edit operations is computed.