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Combining Cellular Automata and Particle Swarm Optimization for Edge Detection

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 14
Year of Publication: 2012
Authors:
Safia Djemame
Mohamed Batouche
10.5120/9182-3602

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

@article{key:article,
	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}
}

Abstract

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.

References

  • Rosin P. L. "Training Cellular Automata for Image Processing," IEEE Transactions on Image Processing, Vol. 15, No. 7 (2006) 2076-2087.
  • Hernandez G. , Hermann J. J. , "Cellular Automata for Elementary Image Enhancement" Graphical Models and Image Processing (GMIP) , vol. 4, N° 58, (1996) 82-89.
  • Wongthanavazu S. , Lursinsap C. , "A 3-D CA Based Edge Operator for 3-D Images" , The proceedings of the 11th IEEE int. Conference on Image Processing (IEEE-ICIP 2004), IEEE press, (2004) 235-238.
  • Rosin P. L, Image Processing Using 3-state Cellular Automata, Computer Vision and Image Understanding , Elsevier vol. 114, (2010), 790-802.
  • Slatnia S. , Batouche M. , Melkemi K. E, Evolutionary Cellular Automata Based-Approach for Edge-Detection , International workshop on Fuzzy Logic and Applications WILF 2007, vol LNAI 4578, (2007) 404-411.
  • Kazar O. , Slatnia S. , Evolutionary Cellular Automata forIimage Segmentation and Noise Filtering Using Genetic Algorithms, Journal of Applied Computer Science and Mathematics, n° 10 (5), (2011) 33-40
  • Batouche M. , Meshoul S. , Abbassene A. , On Solving Edge Detection by Emergence, International Conference on Industrial , Engineering and other Applications of Applied Intelligent Systems, vol. LNAI 4031, (2006) 800-808.
  • Bull L. , A. Adamatzky, A learning classifier system approach to the identification of cellular automata, J. Cellular Automata 2 (1) (2007) 21–38.
  • Terrazas G. , Siepmann P. , Kendall G. , Krasnogor K. O, An Evolutionary Methodology for the Automated Design of Cellular Automaton-based Complex Systems, J. Cellular Automata 2 (1) (2007) 77–102.
  • Djemame S. , Djidel O. , Batouche M. , Image Segmentation Using Continuous Cellular Automata, IEEE catalog, ISBN 978-1-4577-0905-0, (2011) 94-97.
  • Shan Y. , Yang A. , "Applications of Complex Adaptive Systems" IGI publishing, Hershey, NewYork, ISBN-13:978-1-59904-962-5, 2008
  • Shan Y. , Yang A. , « Intelligent Complex Adaptive Systems », IGI publishing, Hershey, NewYork, ISBN-13: 978-1-59904-719-5, 2008
  • Wolfram S. , "A New Kind of Science", Wolfram media. ISBN 1-57955-008-8, 2002
  • Kennedy J. , Eberhart R. C, A Discrete Binary Version of the Particle Swarm Algorithm, In: Proceedings of IEEE Conference on Systems, Man, and Cybernetics, (1997) 4104-4109.
  • Shi Y. , Eberhart R. , A Modified Particle Swarm Optimizer, In: Proceedings of IEEE International Conference on Evolutionary Computation, Anchorage, Alaska,1998, pp. 66–73.
  • Wang Z. , Bovik A. C. , Sheikh H. R. , Simoncelli E. P. , Image Quality Assessment: from Error Visibility to Structural Similarity, IEEE Trans. Image Process. 13 (4) (2004) 600–612.