TY  - JOUR
T1  - A Distributed Hybrid Genetic Algorithm for MRF-Based for Image Segmentation Using Multiagent System
AU - , Kamal E. Melkemi AU - , Mohamed C. Batouche 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 11
SP  - 1006
EP  - 1011
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.1006.1011
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.1006.1011
KW  - Image segmentation
KW  -MRF
KW  -multiagent systems
KW  -genetic algorithms
KW  -distributed evolutionary algorithms
AB  - 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.
ER  -