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Proceedings Paper

A CT image matching algorithm based on singular value decomposition
Author(s): Ping Han; Jing-fei Sun; Hui-hui Mou
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Paper 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.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782023 (20 August 2010); doi: 10.1117/12.866821
Show Author Affiliations
Ping Han, Wuhan Univ. of Technology (China)
Henan Univ. of Technology (China)
Jing-fei Sun, Henan Univ. of Technology (China)
Hui-hui Mou, Taiyuan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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