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.