Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms
We use an evolutionary process to seek a specialized set of rules among a wide range of rules to be used by Cellular Automata (CA) for a range of tasks,extracting edges in a given gray or colour image, noise filtering applied to black-white image. This is the best set of local rules determine the fu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2011-01-01
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| Series: | Journal of Applied Computer Science & Mathematics |
| Subjects: | |
| Online Access: | http://jacs.usv.ro/getpdf.php?paperid=11_4 |
| Summary: | We use an evolutionary process to seek a specialized set of rules among a wide range of rules to be used by Cellular Automata (CA) for a range of tasks,extracting edges in a given gray or colour image, noise filtering applied to black-white image. This is the best set of local rules determine the future state of CA in an asynchronous way. The Genetic Algorithm (GA) is applied to search the best CA rules that can realize the best edge detection and noise filtering. |
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| ISSN: | 2066-4273 2066-3129 |