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Proceedings Paper

Combining color and texture features for image retrieval
Author(s): Guiting Wang; Baobao Tian; Licheng Jiao
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Paper Abstract

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.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678635 (15 November 2007); doi: 10.1117/12.749912
Show Author Affiliations
Guiting Wang, Xidian Univ. (China)
Baobao Tian, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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