Gray-Scale Image Matching Technology Based on Artificial Fish Swarm Algorithm

Aiming at the problem of slow speed in image matching,anti-interference difference and relatively poor ability to resist deformation,proposed a fast image matching method based on artificial fish swarm algorithm (AFSA). In the same test environment,Compared with the image matching method based on pa...

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Veröffentlicht in:Applied Mechanics and Materials 2013-09, Vol.411-414, p.1295-1298
Hauptverfasser: Wang, Zu Lin, Zhu, Jun Lin, Liu, Hui
Format: Artikel
Sprache:eng
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Zusammenfassung:Aiming at the problem of slow speed in image matching,anti-interference difference and relatively poor ability to resist deformation,proposed a fast image matching method based on artificial fish swarm algorithm (AFSA). In the same test environment,Compared with the image matching method based on particle swarm optimization (PSO) algorithm and found,the method is superior to image matching method based on particle swarm optimization,in matching speed and noise resistance ability and deformation resistance ability has a marked improvement.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.411-414.1295