Texture Feature Coding Method for Texture Analysis and It’s Application

Abstract

This paper proposes a new texture analysis method namely texture feature coding method (TFCM). The texture feature coding method transforms a gray-level image into feature image whose each pixel is represented by a texture feature number (TFN). The TFN histogram and TFN co-occurrence matrix are derived to generate many texture features for texture classification. The gray-level co-occurrence matrix (GLCM) and texture spectrum (TS) have been used for comparison in discriminating some of Brodatz’s natural texture images and ultrasonic liver images in experiments. Experimental results reveal that the results using the texture feature coding methods is superior to other two.