DocumentCode :
2298874
Title :
Two-stage correlation method in low SNR for fast image registration
Author :
Gao, Zhiyong ; Shen, Zhenkang ; Jing, Yiping
Author_Institution :
Dept. of Electron. Eng., Changsha Inst. of Technol., Hunan, China
fYear :
1991
fDate :
20-24 May 1991
Firstpage :
337
Abstract :
A two-stage correlation method which can realize fast registration of two digital images in the case of low SNR (signal-to-noise ratio) is proposed, and a new algorithm for roughly searching for a registration position-sequential measure test algorithm (SMTA) is given. Monte-Carlo simulation has shown that the method is over two orders of magnitude faster than the optimal MSD algorithm and far faster than the sequential SSDA, and that its performance is almost as good as the optimal MSD. It can perform well under the condition that the SNR is so low and the length of subimage data is so short that SSDA cannot be used to match at all. The fast correlation method virtually satisfies the demands of some navigation, tracking, and guidance systems for real-time matching
Keywords :
Monte Carlo methods; computerised picture processing; correlation methods; Monte-Carlo simulation; SNR; digital images; guidance; image registration; navigation; optimal MSD algorithm; picture processing; position-sequential measure test algorithm; real-time matching; tracking; two-stage correlation; Correlation; Digital images; Image matching; Image registration; Navigation; Network address translation; Position measurement; Probability; Real time systems; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1991. NAECON 1991., Proceedings of the IEEE 1991 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0085-8
Type :
conf
DOI :
10.1109/NAECON.1991.165770
Filename :
165770
Link To Document :
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