MRF and multiagent system based approach for image segmentation

Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou

    Research output: Contribution to conferencePaper

    Abstract

    Simulated Annealing (SA) and Iterated Conditional Modes (ICM) are two of the Markov Random Fields (MRF) model based appi'oaches for image segmentation. In practice, the ICM provides reasonable segmentations compared to the SA and was the most robust in most cases. However, the ICM strongly depends on the initialization phase. In this work, we develop a new approach for image segmentation based on Multiagent System (MAS) in order to produce good segmentations. We consider a set of segmentation agents and a coordinator agent. Each segmentation agent is able to segment the image by ICM starting from its own initialization. However, the coordinator agent diversifies the initial configurations using crossover and mutation operators known in the Genetic Algorithms (GAs). We can consider this model as a hybridization of ICM and GAs. The role of this hybridization is to help in the task of segmentation intensification in order to accede to good configurations.

    Original languageEnglish (US)
    Pages1499-1504
    Number of pages6
    StatePublished - Dec 1 2004
    Event2004 IEEE International Conference on Industrial Technology, ICIT - Hammamet, Tunisia
    Duration: Dec 8 2004Dec 10 2004

    Other

    Other2004 IEEE International Conference on Industrial Technology, ICIT
    CountryTunisia
    CityHammamet
    Period12/8/0412/10/04

    Fingerprint

    Multi agent systems
    Image segmentation
    Simulated annealing
    Genetic algorithms
    Mathematical operators

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering

    Cite this

    Melkemi, K. E., Batouche, M., & Foufou, S. (2004). MRF and multiagent system based approach for image segmentation. 1499-1504. Paper presented at 2004 IEEE International Conference on Industrial Technology, ICIT, Hammamet, Tunisia.

    MRF and multiagent system based approach for image segmentation. / Melkemi, Kamal E.; Batouche, Mohamed; Foufou, Sebti.

    2004. 1499-1504 Paper presented at 2004 IEEE International Conference on Industrial Technology, ICIT, Hammamet, Tunisia.

    Research output: Contribution to conferencePaper

    Melkemi, KE, Batouche, M & Foufou, S 2004, 'MRF and multiagent system based approach for image segmentation' Paper presented at 2004 IEEE International Conference on Industrial Technology, ICIT, Hammamet, Tunisia, 12/8/04 - 12/10/04, pp. 1499-1504.
    Melkemi KE, Batouche M, Foufou S. MRF and multiagent system based approach for image segmentation. 2004. Paper presented at 2004 IEEE International Conference on Industrial Technology, ICIT, Hammamet, Tunisia.
    Melkemi, Kamal E. ; Batouche, Mohamed ; Foufou, Sebti. / MRF and multiagent system based approach for image segmentation. Paper presented at 2004 IEEE International Conference on Industrial Technology, ICIT, Hammamet, Tunisia.6 p.
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