DocumentCode
2940083
Title
A Matching Method Based on SVD for Image Retrieval
Author
Zeng, Jie-Xian ; Bi, Dong-Ge ; Fu, Xiang
Author_Institution
Sch. of Comput., Nanchang Hangkong Univ., Nanchang, China
Volume
1
fYear
2009
fDate
11-12 April 2009
Firstpage
396
Lastpage
398
Abstract
Feature matching method is the key technology of image retrieval. A matching method based on SVD is proposed in this paper. Firstly, the feature matrix is constructed and the eigenvalue matrix is calculated based on SVD transformation. Then, the eigenvalue matrix is mapped into vector space, and similarity is measured by comparing the angle between vectors. Finally, the matching method is applied to image retrieval. Experimental results show that the proposed method is feasible and superior to the traditional distance matching method.
Keywords
image matching; image retrieval; singular value decomposition; SVD; eigenvalue matrix; feature matching method; image retrieval; single value decomposition; vector space; Automation; Educational technology; Eigenvalues and eigenfunctions; Goniometers; Image edge detection; Image retrieval; Laboratories; Matrix decomposition; Mechatronics; Space technology; Feature matching; SVD; image retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.601
Filename
5202995
Link To Document