The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 11, pp. 3010-3023, Nov. 1998
10.3745/KIPSTE.1998.5.11.3010,   PDF Download:

Abstract

GA has a fast convergence speed in searching the one point around optimal value. But it's convergence time increase in searching the region around optimal value because it has no regional searching mechanism. BP has the tendency to converge the local minimum because it has global searching mechanism. To overcome these problems, a method in which a genetic algorithm and a back propagation are applied in turn is proposed in this paper. By using a genetic algorithm, we compute optimal synaptic strength and offset value. And then, these values are fed to the input of the back propagation. This proposed method is superior to each above method in improving the convergence speed.


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Cite this article
[IEEE Style]
P. C. Lan and L. W. Ki, "The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 11, pp. 3010-3023, 1998. DOI: 10.3745/KIPSTE.1998.5.11.3010.

[ACM Style]
Park Chan Lan and Lee Woong Ki. 1998. The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 11, (1998), 3010-3023. DOI: 10.3745/KIPSTE.1998.5.11.3010.