An image retrieval based on salient points

Based on the analysis of the traditional extraction methods of salient points, a robust and self-adaptive extraction algorithm is proposed in this paper. The block difference of inverse probabilities (BDIP) image is firstly obtained from the original image based on the BDIP model. According to the distribution feature of the BDIP image, salient points are extracted. Then, the color-spatial and shape feature surrounding the salient points are extracted as an index for image retrieval. Comparisons are conducted between this algorithm and other descriptors. Experimental results show that our method provides more significantly retrieval results than the traditional ones.