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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/15676
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| Title: | Evolutionary Cellular Automata based-approach for edge detection |
| Authors: | S. Slatenia
M. Batouche
K.E. Melkemi |
| Keywords: | Genetic Algorithms - Evolutionary Cellular Automata - Edge Detection |
| Issue Date: | 2007 |
| 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. |
| URI: | http://hdl.handle.net/123456789/15676 |
| Appears in Collections: | College of Computer and Information Sciences
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