Texture feature coding method for texture classification

Abstract

We present a new texture analysis method, namely a texture feature coding method (TFCM), for classification of the Brodatz's natural textures. The TFCM is a coding scheme that transforms an image into a feature image, in which each pixel is encoded by TFCM into a texture feature number (TFN) that represents a certain type of local texture. The TFN of each pixel in the feature image is generated based on a 333 texture unit as well as the gray-level variations of its eight surrounding pixels. The TFN histogram and TFN cooccurrence matrix are derived to generate many texture features for texture classification. The texture fea- tures of a gray-level cooccurrence matrix (GLCM), texture spectrum (TS), and cross-diagonal texture matrix (CDTM) have been used for comparison in discriminating natural texture images in experiments based on minimum distance and Bayesian classifiers. Experimental re- sults reveal that the features of the TFCM are superior to the ones of the other three methods for classification. © 2003 Society of Photo-Optical Instru- mentation Engineers. (DOI: 10.1117/1.1527932)