Image retrieval algorithm using modified AAPSEG and weighted regions matching

Qingtao Meng; Shengrong Gong; Zhaohui Wang

doi:10.1117/12.832931

30 October 2009 Image retrieval algorithm using modified AAPSEG and weighted regions matching

Qingtao Meng, Shengrong Gong, Zhaohui Wang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953A (2009) https://doi.org/10.1117/12.832931
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

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.

Citation Download Citation

Qingtao Meng, Shengrong Gong, and Zhaohui Wang "Image retrieval algorithm using modified AAPSEG and weighted regions matching", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953A (30 October 2009); https://doi.org/10.1117/12.832931

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