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Combining Cellular Automata and Particle Swarm Optimization for Edge Detection

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 14
Year of Publication: 2012
Safia Djemame
Mohamed Batouche

Safia Djemame and Mohamed Batouche. Article: Combining Cellular Automata and Particle Swarm Optimization for Edge Detection. International Journal of Computer Applications 57(14):16-22, November 2012. Full text available. BibTeX

	author = {Safia Djemame and Mohamed Batouche},
	title = {Article: Combining Cellular Automata and Particle Swarm Optimization for Edge Detection},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {14},
	pages = {16-22},
	month = {November},
	note = {Full text available}


Cellular Automata can be successfully applied in image processing. In this paper, we propose a new edge detection algorithm, based on cellular automata to extract edges of different types of images, using a totalistic transition rule. The metaheuristic PSO is used to find out the optimal and appropriate transition rules set of cellular automata for edge detection task. This combination increases the efficiency of the algorithm, and ensures its convergence to an optimal edge as shown in various experiments. Comparisons are made with standard methods (Canny) and other algorithms based on Cellular Automata and Genetic Algorithms. Obtained results are promising.


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