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