A robust point matching algorithm for image registration

Zhaoxia Liu; Jubai An; Fanrong Meng

doi:10.1117/12.920142

12 January 2012 A robust point matching algorithm for image registration

Zhaoxia Liu, Jubai An, Fanrong Meng

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 835011 (2012) https://doi.org/10.1117/12.920142
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Zhaoxia Liu, Jubai An, and Fanrong Meng "A robust point matching algorithm for image registration", 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); https://doi.org/10.1117/12.920142

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