Similarity measures for binary and gray level Markov Random Field textures

Abstract

In this study a new set of texture measures, namely, Clique Length and its moments are introduced. These measures are defined employing new concepts which agrees with the human visual system. The simulation experiments are performed on binary and gray level MRF texture alphabet to quantify the data by the kth moment of Clique Length. Experimental results indicate that the introduced measures identify the visually similar textures much better than the mathematical distance measures.