Combining color and texture features for image retrieval

被引：0
|
作者：
Wang, Guiting [1 ]
Tian, Baobao [1 ]
Jiao, Licheng [1 ]
机构：
[1] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Peoples R China
来源：
MIPPR 2007: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS; AND MULTISPECTRAL IMAGE ACQUISITION, PTS 1 AND 2 | 2007年 / 6786卷
关键词：
content-based image retrieval (CBIR); HSV quantized colors; Gabor wavelet;
D O I：
10.1117/12.749912
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, a new method named BQCGW (block-based method of combining quantized colors and Gabor wavelet features) is proposed for image retrieval. HSV color space, in which measured color differences are proportional to the human perception of such differences, is quantized into 67 kinds of representative colors. We also propose the use of Gabor wavelet features for texture analysis. Images in the database are divided into nine blocks before extracting color and texture features. Experiment results show that our method is feasible and valid.
引用
收藏
页数：6
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