A large number of images come forth because of the prevalence of multimedia technology and the implement of Internet technology. Since traditional text keyword-based retrieval approach can't adapt to the demand of image data retrieval

so content-based image retrieval(CBIR) technology becomes the current research focus. Among the contend-based retrieval technologies

feature extraction is most important. For instance

color

texture and shape feature etc. But each feature of image can only catch one aspect of the similarity of image

how to represent images better has become a important research field in content-based image retrieval. We come up with a representation method of image based on color and texture feature of image. In this method

we use the histogram of HSV color space as color feature

and the detail information of the multiresolution representation of image as texture feature. Take full advantage of the rich representation of color and the statistics of the wavelet coefficients. Through the comparative experiment on the recall of image retrieval over various image type and various combination of feature

we can conclude that this representation of image is feasible and valid in image retrieval.