Image retrieval algorithm using modified AAPSEG and weighted regions matching
Qingtao Meng, Shengrong Gong, Chunping Liu, Zhaohui Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Image segmentation and region matching is the mainly issues of Region-Based Image Retrieval. In this paper we proposed adaptive image segmentation based on affinity propagation clustering (AAPSEG) and weighted region matching (WRM), APPSEG method calculated preference in Affinity Propagation clustering (AP) adaptively, and applied Adaptive Affinity Propagation clustering to nature image segmentation. WRM computed the weight between regions by location, size etc. It increased the influence of main region and decreased the secondary region. The Modified Hausdorff distance which was used to calculate similarity between quire image and candidate images effectively solved the problem of region matching in RBIR. The results of experiments demonstrated that the new method obviously improved precision in RBIR.