A Novel Image Retrieval Algorithm Based on Color and Distribution of Wavelet Salient Points
Zeng Zhi · 2006
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 do- main,these salient points not only represent global variations as well as local variations;then the salient points are re- garded as clues,and annular color histogram is designed,which takes not only the local color feature into considera- tion,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 im- age retrieval.