Combining color and texture features for image retrieval

Guiting Wang; Baobao Tian; Licheng Jiao

doi:10.1117/12.749912

15 November 2007 Combining color and texture features for image retrieval

Guiting Wang, Baobao Tian, Licheng Jiao

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678635 (2007) https://doi.org/10.1117/12.749912
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Guiting Wang, Baobao Tian, and Licheng Jiao "Combining color and texture features for image retrieval", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678635 (15 November 2007); https://doi.org/10.1117/12.749912

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