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Texture feature extraction using gray level gradient based co-occurence matrices

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1 Author(s)
Wang-Cheung Lam, S. ; Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, Hong Kong

The gray level co-occurrence matrix (GLCM) has long been a powerful tool for texture analysis. In this research, the gray level gradient co-occurrence matrix (GLGCM) is developed to capture the second order statistics of gray level gradients. Subsequently, a set of texture features is extracted from the GLGCM. Experimental results confirm the effectiveness of this set of features are given in this paper

Published in:

Systems, Man, and Cybernetics, 1996., IEEE International Conference on  (Volume:1 )

Date of Conference:

14-17 Oct 1996