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 :
بازگشت