Image retrieval based on the texton co-occurrence matrix

被引：150

作者：

Liu, Guang-Hai ^{[1
]}

Yang, Jing-Yu ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Comp Sci, Nanjing 210094, Peoples R China

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 12期

关键词：

image retrieval; GLCM; color gradient; the texton co-occurrence matrix;

D O I：

10.1016/j.patcog.2008.06.010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：3521 / 3527

页数：7

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