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Proceedings Paper

A robust point matching algorithm for image registration
Author(s): Zhaoxia Liu; Jubai An; Fanrong Meng
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Paper Abstract

Accurate point matching is a crucial and challenging process in feature-based image registration, especially for images with a monotonous background, In this paper, we propose a robust point matching algorithm for image registration which integrates cyclic string matching method and a two decision criteria, i. e., the stability and accuracy of transformation error. In this algorithm, a filtering strategy is designed to eliminate dubious matches to get exactly matched point sets. The performance of the proposed algorithm is evaluated by registering two typical image pairs containing repetitive patterns. Compared with Random Sample Consensus (RANSAC), Graph Transformation Matching (GTM), the proposed algorithm obtains the highest precision and stability.

Paper Details

Date Published: 12 January 2012
PDF: 7 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835011 (12 January 2012); doi: 10.1117/12.920142
Show Author Affiliations
Zhaoxia Liu, Dalian Maritime Univ. (China)
Dalian Univ. of Foreign Languages (China)
Jubai An, Dalian Maritime Univ. (China)
Fanrong Meng, Yingkou Entry-Exi Inspection and Quarantine Bureau (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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