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

Jun Lin Zhu; Zu Lin Wang; Hui Liu

doi:10.4028/www.scientific.net/AMM.411-414.1295

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Gray-Scale Image Matching Technology Based on...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1295-1298

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1295

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Online since:

September 2013

Authors:

Jun Lin Zhu, Zu Lin Wang, Hui Liu

Keywords:

Artificial Fish Swarm Algorithm, Fitness Function, Image Matching

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References

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