A novel content-based image retrieval method is proposed using information entropy in this paper.First of all,an image is segmented into several sub-areas,and the block color information is extracted from the image.Secondly,mutual information of color among images is computed to determine the similarity between two images.Compared with the algorithms of other methods of color description,this method has the advantages of strong ability of resisting noises,high precision and so on.