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Proceedings Paper

Image retrieval algorithm using modified AAPSEG and weighted regions matching
Author(s): Qingtao Meng; Shengrong Gong; Zhaohui Wang
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953A (30 October 2009); doi: 10.1117/12.832931
Show Author Affiliations
Qingtao Meng, Soochow Univ. (China)
Shengrong Gong, Soochow Univ. (China)
Zhaohui Wang, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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