20 August 2010 A CT image matching algorithm based on singular value decomposition
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping Han, Jing-fei Sun, 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); doi: 10.1117/12.866821; https://doi.org/10.1117/12.866821
PROCEEDINGS
6 PAGES


SHARE
Back to Top