ISA an algorithm for image segmentation using ants

IEEE International Symposium on Industrial Electronics

Volumn , Issue , 2008, Pages 2503-2507

  Benatcha, Karima ^a   Koudil, Mouloud ^a   Benkhelat, Nadjib ^a   Boukir, Yacine ^a  

^a Institut National de Formation en Informatique   (Algeria)

Author keywords

Ant colonies; Optimization; Segmentation

Indexed keywords

COMBINATORIAL MATHEMATICS; COMBINATORIAL OPTIMIZATION; DIGITAL IMAGE STORAGE; IMAGE PROCESSING; IMAGE SEGMENTATION; INDUSTRIAL ELECTRONICS; PIXELS;

AMOUNT OF INFORMATIONS; ANT COLONIES; COMBINATORIAL OPTIMIZATION PROBLEMS; HOMOGENEOUS REGIONS; LEVEL PROCESSING; ONE HANDS; POSSIBLE ERRORS; SEGMENTATION;

OPTIMIZATION;

EID: 57849122664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2008.4677258     Document Type: Conference Paper

References (21)

1. V. Ramos, F. Muge, "Image Colour Segmentation by Genetic Algorithms", RecPad 2000, 11th Portuguese Conf. on Pattern Recognition, pp. 125-129, Porto, Portugal, May 11-12, 2000.
2. V. Ramos, F. Muge, "Map Segmentation by Colour Cube Genetic K-Mean Clustering", Lecture Notes in Computer Science, Volume 1923, 2000.
3. D. Munford, J. Shah., "Optimal Approximations by PieceWise Smooth Functions and Associated Variational Problems", Comm. Pure Appl. Math. 42:577-685, 1989.
4. Schmidhuber J., "Classifier systems and the bucket brigade", 2003. URL:http://www.idsia.ch/~juergen/bucketbrigade/bucketbrigade.html.
5. Bounsaythip C, Alander J. T., "Genetic Algorithms in Image Processing - A Review", Proc. Of the 3rd Nordic Workshop on Genetic Algorithms and their Applications, Metsatalo, Univ. of Helsinki, Helsinki, Finland, pp. 173-192, 1997.
6. Yoshimura, M. and Oe, S., "Evolutionary Segmentation of Texture Image using Genetic Algorithm towards Automatic Decision of Optimum Number of Segmentation Ares", Partem Recognition 32, pp. 2041-2054, 1999.
7. B. Bhanu, J. Sugkee Lee, "Adaptive Image Segmentation Using a Genetic Algorithm", Transactions on Systems, Man and Cybernetics, Dec. 1995.
8. Benatchba K., Koudil M., Boukir Y, and Benkhelat N., "Image segmentation using quantum genetic algorithms", IEEE International Conference on Industrial applications of Electronics Control, (IECON'06), pp. 3556-3563, Paris, November 2006.
9. S. Ouadfel, M. Batouche, MRF-Based Image Segmentation using Ant Colony System, Electronic Letters on Computer Vision and Image Analysis, 2(2): 12-24, 2003.
10. Dorigo M., "Optimization, Learning and Natural Algorithms", Ph.D. Thesis, Politecnico di Milano, Italy, 1992.
11. Bonabeau E., Dorigo M. and Théraulaz G., "Swarm Intelligence: From Natural to Artificial Systems", Oxford University Press, New York, 1999.
12. Dorigo M., Dicaro G., "Ant Colony Optimisation : A new meta-heuristic", IEEE, 1999.
13. Hölldober B., WILSON E. O., The Ants, Springer, Berlin, Heidelberg, New York, 1990.
14. Monmarché N., "Algorithmes de fourmis artificielles: application à la classification et à l'optimisation", Thèse de Doctoral, Université François Rabelais, Tours, 2000.
15. Azzag H., Monmarché N., Slimane M., Guinot C. and Venturini G., "AntTree: a new model for clustering with artificial ants", 7th European Conference on Artificial Life (ECAL 2003), Dortmund, Germany, September 14-17, 2003.
16. Labroche N., Monmarché N. and Venturini G., "AntClust : Ant clustering and web usage mining", in Proceeding of the Genetic and Evolutionary Computation, (Gecco 2003), Chicago, USA, July 2003.
17. Yanfang Han, Pengfei Shi, "An improved ant colony algorithm for fuzzy clustering in image segmentation", Neurocomputing archive, Volume 70, Issue 4-6, pp. 665-671, ISSN:0925-2312, 2007.
18. Channa, A. H. Rajpoot, N. M. Rajpoot, K. M., "Texture Segmentation using Ant Tree Clustering", IEEE International Conference on Engineering of Intelligent Systems, pp. 1-6, ISBN: 1-4244-0456-8, 2006.
19. Goss S., Aron S., Deneubourg J. L., Pasteels J. M., Self-organized shortcuts in the Argentine ant. Naturwissenschaften, 76:579-581, 1989.
20. Hanchuan Peng, Fuhui Long, Zheru Chi, and Wanchi Siu, "A Hierarchical Distributed Genetic Algorithm for Image Segmentation", Proceedings of the 2000 Congress on Evolutionary Computation CEC00, 2000.
21. Chabrier H. S., Laurent, Rosenberger C., Emile B., Marché P., "Etude comparative de critères d'èvaluation de la segmentation", Actes du 19ème Colloque GRETSI, Paris, (3), pp. 150-153, Paris, 2003.