A Novel Image Retrieval Algorithm Based on Color and Distribution of Wavelet Salient Points
基于小波突出点颜色及空间分布的图像检索算法

Having analyzed the drawbacks of image retrieval based on interest points, a novel image retrieval algorithm is proposed using wavelet-based salient points in this paper. The algorithm extracts the salient points in wavelet domain, these salient points not only represent global variations as well as local variations; then the salient points are regarded as clues, and annular color histogram is designed, which takes not only the local color feature into consideration, but also the space distribution information of the salient points; the similarities are measured by the distance of annular color histograms. With robustness to rotation and translation, the algorithm avoids shortcoming of losing the location information in the traditional color histogram. Experimental results show that this algorithm is efficient for image retrieval.