Texture-Based Image Retrieval by Edge Detection Matching GLCM

被引：31

作者：

Zhang, Jing ^{[1
,2
]}

Li, Gui-li ^{[2
]}

He, Seok-wun ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Jinju, South Korea

[2] Univ Sci & Technol Liaoning, Anshan, Peoples R China

来源：

HPCC 2008: 10TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, PROCEEDINGS | 2008年

关键词：

GLCM; edge detection; CBIR; Prewitt edge detector; Texture;

D O I：

10.1109/HPCC.2008.55

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Content-Based Image Retrieval (CBIR) system is emerging as an important research area, users can search and retrieve images based on their properties such as Shape, color and texture from the image database. Usually; texture-based image retrieval just consider an original image of coarseness, contrast and roughness, actually, there is much textut-e information in the edge image. This paper proposed a novel approach to retrieve images by texture characterization using a composition of edge information and co-occurrence matrix properties. The proposed method gives encouraging results when comparing its retrieval performance to that of the traditional co-occurrence matrices and Yao 's approach[5].

引用

页码：782 / +

页数：2

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