Combining color and texture features for image retrieval
Guiting Wang, Baobao Tian, Licheng Jiao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.