MRF model-based approach for image segmentation using a chaotic MultiAgent system

Kamal E. Melkemi; Mohamed Batouche; Sebti Foufou

doi:10.1007/11676935_43

MRF model-based approach for image segmentation using a chaotic MultiAgent system

Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a new Chaotic MultiAgent System (CMAS) for image segmentation. This CMAS is a distributed system composed of a set of segmentation agents connected to a coordinator agent. Each segmentation agent performs Iterated Conditional Modes (ICM) starting from its own initial image created initially from the observed one by using a chaotic mapping. However, the coordinator agent receives and diversifies these images using a crossover and a chaotic mutation. A chaotic system is successfully used in order to benefit from the special chaotic characteristic features such as ergodic property, stochastic aspect and dependence on initialization. The efficiency of our approach is shown through experimental results.

Original language	English (US)
Title of host publication	Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers
Pages	344-353
Number of pages	10
DOIs	https://doi.org/10.1007/11676935_43
State	Published - Jun 23 2006
Event	6th International Workshop - Fuzzy Logic and Applications - Crema, Italy Duration: Sep 15 2005 → Sep 17 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3849 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Workshop - Fuzzy Logic and Applications
Country	Italy
City	Crema
Period	9/15/05 → 9/17/05

Fingerprint

Keywords

Chaotic System
Genetic Algorithms
Image Segmentation
Markov Random Field
MultiAgent Systems

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

Melkemi, K. E., Batouche, M., & Foufou, S. (2006). MRF model-based approach for image segmentation using a chaotic MultiAgent system. In Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers (pp. 344-353). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3849 LNAI). https://doi.org/10.1007/11676935_43

MRF model-based approach for image segmentation using a chaotic MultiAgent system. / Melkemi, Kamal E.; Batouche, Mohamed; Foufou, Sebti.

Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers. 2006. p. 344-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3849 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Melkemi, KE, Batouche, M & Foufou, S 2006, MRF model-based approach for image segmentation using a chaotic MultiAgent system. in Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3849 LNAI, pp. 344-353, 6th International Workshop - Fuzzy Logic and Applications, Crema, Italy, 9/15/05. https://doi.org/10.1007/11676935_43

Melkemi KE, Batouche M, Foufou S. MRF model-based approach for image segmentation using a chaotic MultiAgent system. In Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers. 2006. p. 344-353. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11676935_43

Melkemi, Kamal E. ; Batouche, Mohamed ; Foufou, Sebti. / MRF model-based approach for image segmentation using a chaotic MultiAgent system. Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers. 2006. pp. 344-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Access to Document

10.1007/11676935_43