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...
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Format: | Article |
Language: | English |
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Stefan cel Mare University of Suceava
2011-01-01
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Series: | Journal of Applied Computer Science & Mathematics |
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Online Access: | http://jacs.usv.ro/getpdf.php?paperid=11_4 |
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author | Sihem SLATNIA Okba KAZAR |
author_facet | Sihem SLATNIA Okba KAZAR |
author_sort | Sihem SLATNIA |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T20:02:40Z |
format | Article |
id | doaj.art-ba3890998f174b3895f9eada0d7c3dab |
institution | Directory Open Access Journal |
issn | 2066-4273 2066-3129 |
language | English |
last_indexed | 2024-04-12T20:02:40Z |
publishDate | 2011-01-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Journal of Applied Computer Science & Mathematics |
spelling | doaj.art-ba3890998f174b3895f9eada0d7c3dab2022-12-22T03:18:30ZengStefan cel Mare University of SuceavaJournal of Applied Computer Science & Mathematics2066-42732066-31292011-01-015112837Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic AlgorithmsSihem SLATNIAOkba KAZARWe 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.jacs.usv.ro/getpdf.php?paperid=11_4Genetic AlgorithmsEvolutionary Cellular AutomataEdge DetectionNoise Filtering |
spellingShingle | Sihem SLATNIA Okba KAZAR Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms Journal of Applied Computer Science & Mathematics Genetic Algorithms Evolutionary Cellular Automata Edge Detection Noise Filtering |
title | Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms |
title_full | Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms |
title_fullStr | Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms |
title_full_unstemmed | Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms |
title_short | Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms |
title_sort | evolutionary cellular automata for image segmentation and noise filtering using genetic algorithms |
topic | Genetic Algorithms Evolutionary Cellular Automata Edge Detection Noise Filtering |
url | http://jacs.usv.ro/getpdf.php?paperid=11_4 |
work_keys_str_mv | AT sihemslatnia evolutionarycellularautomataforimagesegmentationandnoisefilteringusinggeneticalgorithms AT okbakazar evolutionarycellularautomataforimagesegmentationandnoisefilteringusinggeneticalgorithms |