Modified Color Texton Histogram for Image Retrieval

被引：1
|
作者：
Qiu, Qin-Jun [1 ]
Liu, Yong [1 ]
Cai, Da-Wei [1 ]
Tan, Jia-Zheng [1 ]
机构：
[1] Three Gorges Univ, Yichang, Hubei Province, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA) | 2013年
关键词：
texton; image retrieval; texton histogram; the loc al structure detection; WAVELET CORRELOGRAM;
D O I：
10.1109/CSA.2013.142
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, HSV based texton histogram (HSV-TH) is proposed for content based image retrieval (CBIR). The HSV-MT is proposed in contrast to the RGB based texton histogram (RGB-TH). The proposed HSV-TH method is based on Julesz's textons theory, and it works directly on nature images as shape descriptor and a color texture descriptor. HSV-TH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram. The retrieval results of the proposed method are tested on the different image databases i.e. Corel 1000 (DB1),Corel-10,000 (DB2) and MIT VisTex(DB3). Two experiments have been carried out for proving the worth of our algorithm. The results after being investigate show that a significant improvement in terms of their evaluation measures as compared to RGB-TH.
引用
收藏
页码：585 / 589
页数：5
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