Fast Simulated Annealing Algorithm 


Vol. 27,  No. 3, pp. 284-289, Mar.  2002


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  Abstract

In this paper, we propose the fast simulated annealing algorithm to decrease convergence rate in image segmentation using MRF. Simulated annealing algorithm has a good performance in noisy image or texture image. But there is a problem to have a long convergence rate. To find a solution to this problem, we have labeled each pixel adaptively according to its intensity before simulated annealing. Then, we show the superiority of proposed method through experimental results.

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  Cite this article

[IEEE Style]

C. Jung and J. Kim, "Fast Simulated Annealing Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 284-289, 2002. DOI: .

[ACM Style]

Cheolkon Jung and Joongkyu Kim. 2002. Fast Simulated Annealing Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 284-289. DOI: .

[KICS Style]

Cheolkon Jung and Joongkyu Kim, "Fast Simulated Annealing Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 284-289, 3. 2002.