A CT image matching algorithm based on singular value decomposition

Ping Han; Jing-fei Sun; Hui-hui Mou

doi:10.1117/12.866821

20 August 2010 A CT image matching algorithm based on singular value decomposition

Ping Han, Jing-fei Sun, Hui-hui Mou

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782023 (2010) https://doi.org/10.1117/12.866821
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

To strengthen the noise immunity of images matching, and enhance the robustness of matching, we advanced an image matching algorithm based on singular value decomposition. Firstly, it fetched the feature point of reference drawing and floating drawing by using Harris Algorithm, and then matched the feature point set of the two drawings with singular value decomposition method. Because of the Orthogonal and similar properties of singular value decomposition, the noise immunity of this algorithm was stronger, and the robustness of matching was higher. The experimental result proves the effectiveness of this algorithm.

Citation Download Citation

Ping Han, Jing-fei Sun, and Hui-hui Mou "A CT image matching algorithm based on singular value decomposition", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782023 (20 August 2010); https://doi.org/10.1117/12.866821

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