Title :
Texture feature extraction using gray level gradient based co-occurence matrices
Author :
Lam, Stephen Wang-Cheung
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, Hong Kong
Abstract :
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
Keywords :
feature extraction; image texture; matrix algebra; statistical analysis; gray level gradient based co-occurence matrices; gray level gradients; second order statistics; texture analysis; texture feature extraction; Character recognition; Computer science; Feature extraction; Fractals; Image analysis; Image recognition; Image segmentation; Image texture analysis; Pixel; Statistics;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569778
