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Image Register Based on PSO and Error Mechanism

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Abstract:

When applying the standard particle swarm algorithm to image registering, it has a problem of convergence and the speed of the convergence. Aiming at this, we proposed a modified particle swarm optimization; a simple error correction mechanism is introduced into the update process of the particle, so that the particle’s error evolution can be corrected in time. To test the novel algorithm, we used a typical function to identify it. It can be seen from the simulation results that the convergence ability and the convergence speed of the new algorithm was increased effectively. Then applying the PSO algorithm to image registering, the experiment result is good.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2500-2503

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2500

Citation:

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Online since:

August 2014

Authors:

Chang Liang Lv*, Gui Lan Feng

Keywords:

Error Mechanism, Image Register, Optimization, Particle Swarm

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] B. Zitov ´a and J. Flusser, Image registration methods: a survey, Image and Vision Computing, vol. 21, p.977–1000, (2003).

DOI: 10.1016/s0262-8856(03)00137-9

Google Scholar

[2] W. E. Hart and M. H. Goldbaum, Registering retinal images using automatically selected control point pairs, in Proceedings of IEEE International Conference on Image Processing , 1994, p.576–581.

DOI: 10.1109/icip.1994.413740

Google Scholar

[3] Kennedy J, Eberhart R C. Particle swarm optimization, in Proceedings of IEEE International Conference on Neural Networks, Piscataway: IEEE, 1995: 1492-1498.

Google Scholar

[4] R. A. Krohling, Gaussian swarm: a novel particle swarm optimization algorithm, inIEEE Conference on Cybernetics and Intelligent Systems, vol. 1, Dec. 2004, p.372–376.

DOI: 10.1109/iccis.2004.1460443

Google Scholar

[5] R. A. Krohling and L. D. S. Coelho, PSO-E: Particle swarm with exponential distribution, in IEEE Congress on Evolutionary Computation, 2006, p.1428–1433.

DOI: 10.1109/cec.2006.1688476

Google Scholar

[6] R. A. Krohling and E. Mendel, Bare bones particle swarm optimization with Gaussian or Cauchy jumps, in IEEE Congress on Evolutionary Computation , May 2009, p.3285– 3291.

DOI: 10.1109/cec.2009.4983361

Google Scholar

[7] Zhang Jie and Wang Hua-qian , PSO algorithm based on error correction mechanism, in Transducer and Microsystems Technologies, (2014).

Google Scholar