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A Potts Automata algorithm for Noise Removal and Edge Detection  

이석기 (부경대학교 전자컴퓨터정보통신공학부)
김석태 (부경대학교 전자컴퓨터정보통신공학부)
조성진 (부경대학교 수리과학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.3C, 2003 , pp. 327-335 More about this Journal
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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