Evolutionary Cellular Automata Based-Approach for Edge Detection

Authors:
Sihem Slatnia;Mohamed Batouche;Kamal E. Melkemi
Affiliations:
University of Biskra, Computer Science department, 07000 Biskra, Algeria;Computer Science department, College of Computer and Information Sciences, University of King Saud, Saudi Arabia;University of Biskra, Computer Science department, 07000 Biskra, Algeria
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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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.