An CT Image Matching Algorithm Based on Singular Value Decomposition

被引：0
|
作者：
Han Ping [1 ,2 ]
Sun Jing-fei [2 ]
Mou Hui-hui [3 ]
机构：
[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Peoples R China
[2] Henan Univ Technol, Sch Informat Sci & Technol, Zhengzhou 450001, Peoples R China
[3] Taiyuan univ Technol, Coll Comp & Software, Taiyuan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING | 2010年 / 7820卷
关键词：
Image processing; Image matching; Singular value decomposition; Harris;
D O I：
10.1117/12.866821
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页数：6
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