Image retrieval based on the texton co-occurrence matrix

Authors:
Guang-Hai Liu;Jing-Yu Yang
Affiliations:
Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China;Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China
Venue:
Pattern Recognition
Year:
2008

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Abstract

This paper put forward a new method of co-occurrence matrix to describe image features. This method can express the spatial correlation of textons. During the course of feature extracting, we have quantized the original images into 256 colors and computed color gradient from the RGB vector space, and then calculated the statistical information of textons to describe image features. Image retrieval experimental results have shown that our proposed method has the discrimination power of color, texture and shape features, the performances are better than that of GLCM and CCG.