Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
In this study we propose a new hybrid Island model-based approach for image segmentation structured on MAS. The general purpose of this distributed approach is to diversify a set of starting images using a GA for parallel ICM processes. This Island-MAS is composed of a set of Island-agents. Each one performs ICM starting from its own initial image. We show how cooperating Island-Agents are able to estimate the labels field and find the MAP estimate. Cooperation between Island-gents is performed by exchanging good initial images through a migration strategy. The efficiency of this Island-MAS is shown through some experimental results.
How to cite this article:
Kamal E. Melkemi and Mohamed C. Batouche . A Distributed Hybrid Genetic Algorithm for MRF-Based for Image Segmentation Using Multiagent System.
DOI: https://doi.org/10.36478/ajit.2005.1006.1011
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.1006.1011