A Potts Automata algorithm for Noise Removal and Edge Detection 


Vol. 28,  No. 3, pp. 327-335, Mar.  2003


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  Abstract

Cellular Automata is discrete dynamical systems which natural phenomena may be specified completely in terms of local relation.
In this paper we propose noise removal and edge detection algorithm using a Potts Automata which is based on Cellular Automata. The proposed method is aimed to locally increase or decrease the differences in gray level values between pixel of the image without loss of the main characteristics of the image. The dynamical behavior of these automata is determined by Lyapunov operators for sequential and parallel update. We have found that proposed automata rules present very fast convergence to fixed points, stability in front of random noisy images. Based on the experimental results we discuses the advantage and efficiency.

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  Cite this article

[IEEE Style]

S. Lee, S. Kim, S. Cho, "A Potts Automata algorithm for Noise Removal and Edge Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 327-335, 2003. DOI: .

[ACM Style]

Seok-Ki Lee, Seok-Tae Kim, and Sung-Jin Cho. 2003. A Potts Automata algorithm for Noise Removal and Edge Detection. The Journal of Korean Institute of Communications and Information Sciences, 28, 3, (2003), 327-335. DOI: .

[KICS Style]

Seok-Ki Lee, Seok-Tae Kim, Sung-Jin Cho, "A Potts Automata algorithm for Noise Removal and Edge Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 327-335, 3. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880