International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 57 - Number 14 |
Year of Publication: 2012 |
Authors: Safia Djemame, Mohamed Batouche |
10.5120/9182-3602 |
Safia Djemame, Mohamed Batouche . Combining Cellular Automata and Particle Swarm Optimization for Edge Detection. International Journal of Computer Applications. 57, 14 ( November 2012), 16-22. DOI=10.5120/9182-3602
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.