Performance evaluation of cross-diagonal texture matrix method of texture analysis

Abstract

This paper presents a new texture analysis method incorporating with the properties of both the gray-level co-occurrence matrix (GLCM) and texture spectrum (TS) methods. The co-occurrence features extracted from the cross–diagonal texture matrix provide complete texture information about an image. The performance of these features in discriminating the texture aspects of pictorial images has been evaluated. The textural features from the GLCM and TS have been used for comparison in discriminating some of Brodatz's natural texture images. The classification error was 2.4% with features from the cross–diagonal texture matrix, whereas the errors were 18.9 and 38.7% with features from the GLCM and TS, respectively.