In this paper, a new color image retrieval method based on color and texture is proposed, Firstly, in order to obtain the information of spatial distribution, images are partitioned into 5 sub-images and then the color feature is extracted from RGB model and HSV model. Secondly, each image is decomposed by stationary wavelet-nonsubsampled contourlet transform (SW-NSCT) and the mean value and standard deviation of each sub-band's coefficient are computed as the texture features. The similarities of images are computed by the Euclidean's distance with weight. Experiments indicate that this algorithm can improve the searching precision effectively.