Ant Colony System with local search for Markov Random Field Image Segmentation

IEEE International Conference on Image Processing

Volumn 1, Issue , 2003, Pages 133-136

  Ouadfel, Salima ^a,b   Batouche, Mohamed ^b  

^a UNIVERSITY OF BATNA   (Algeria)

^b University Constantine 2   (Algeria)

Author keywords

[No Author keywords available]

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); MARKOV RANDOM FIELD (MRF);

BRAIN; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; HEURISTIC METHODS; IMAGE ANALYSIS; MARKOV PROCESSES; RANDOM PROCESSES; SIMULATED ANNEALING;

IMAGE SEGMENTATION;

EID: 0344666675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Andrey, P. and Tarroux. P., "Unsupervised segmentation of Markov random field modeled textured images using selectionist relaxation". IEEE Trans. Pattern Anal. Machine Intell. (20) 3, pp. 252-262, 1998.
2. Bonabeau, E., Dorigo, M. and Therualez, G. " Swarm Intelligence: From Natural to Artificial Systems". New Work: Oxford University Press, 1999.
3. Chellappa, R. and Jain, A.K. Editors, Markov Random Fields: Theory and Application Academic Press, San Diego. 1993.
4. Chen, J.L. and Kundu, A., "Unsupervised texture segmentation using multichannel decomposition and hidden Markov-models". IEEE Trans. Image Process. (4) pp. 603-619, 1995.
5. Dorigo, M. and Gambardella, L., "Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem". IEEE Transactions on Evolutionary Computation (1). pp: 53-66, 1997.
6. Dorigo, M., Maniezzo, V. and Colorni, A., "Positive feed back as a search strategy". Technical Report (16). Politecnico di Milano, Italy. 1991.
7. Dubes, R, Nadabar, S., Chen, C.C. and Jain, A.K., "MRF Model-Based algorithm for Image Segmentation" Proc. 10th Int'l. Conference on Pattern Recognition, Atlantic City, pp. 808-814, 1990
8. Franti, A. and Kivijarvi. J., "Randomized Local Search Algorithm for the Clustering Problem". Pattern Analysis & Applications (3). 358-369, 2000.
9. Geman, S. and Geman, D., "Stochastic relaxation, Gibbs distribution, and Bayesian restoration of images". IEEE Trans. Pattern Anal. Machine Intell.(6). pp. 721-741, 1984.
10. Kervrann, C. and Heitz, F., "A Markov random field model based approach to unsupervised texture segmentation using local and global spatial statistics". IEEE trans. Image Process. (4), 1995.
11. Kim, E. Y., Park, S. H. and Kim, H. J. "A Genetic algorithm-based segmentation of Markov Random Field modeled images". IEEE Signal processing letters 7 (11), pp. 301-303., 2000.
12. Maniezzo, V., Carbonaro, A., "Ant Colony Optimization: an overview". In C.Ribeiro (eds.) Essays and Surveys in Metaheuristics, Kluwer, page.21-44, 2001.
13. Pal, N.R. and Pal, S.K., "A review on image segmentation techniques". Pattern Recognition (26) 9, pp. 1277-1294., 1993.
14. Panjwani, D.K. and Healey, G., "Markov random field models for unsupervised segmentation of textured color images". IEEE Trans. Pattern Anal. Machine Intell. (17) 10, pp. 939-954., 1995.