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Sihem Slatnia, Mohamed Batouche, Kamal E. Melkemi, Evolutionary Cellular Automata Based-Approach for Edge Detection

Citation:

Sihem Slatnia, Mohamed Batouche, Kamal E. Melkemi, Evolutionary Cellular Automata Based-Approach for Edge Detection . In: Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings. Vol. LNCS. Camogli, Italy: Springer ; 2007. pp. 404-411.

Abstract:

We use an evolutionary process to seek a specialized powerful rule of Cellular Automata (CA) among a set of best rules for extracting edges in a given black-white image. This best set of local rules determines the future state of CA in an asynchronous way. The Genetic Algorithm (GA) is applied to search the best CA rules that can realize better the edge detection.