A novel CBIR algorithm based on ring-shaped distribution of salient points are presented in this paper. First, the salient points were detected by wavelet transform, in which those wavelet coefficients can be calculated in different multi-resolutions. Then the location and some low level features such as color of salient points are extracted to describe each image patch．Secondly, the image is divided into a number of concentric rings along the radius direction, and the image feature vectors are computed according to the probability of salient points in these rings. Finally, similarity between images is calculated by the block-distance with weight. Experiments show that the retrieval algorithm and image similarity calculation method proposed in the paper is not only retrieval of high precision, but also excellent invariance feature in rotation, scale and visual angle of view.