@inproceedings{5abc5aea98af4652bcaf514044cad68e,
title = "Chaotic MultiAgent system approach for MRF-based image segmentation",
abstract = "In this paper, we propose a new chaotic approach for image segmentation based on MultiAgent System (MAS). We consider a set of segmentation agents organized around a coordinator agent. Each segmentation agent performs Iterated Conditional Modes (ICM) starting from its own initial image created using a chaotic mapping. The coordinator agent diversifies the initial images using a crossover and a chaotic mutation operators. The efficiency of our chaotic MAS approach is shown through some experimental results.",
keywords = "Chaotic system, Genetic Algorithms, Image Segmentation, MRF, MultiAgent Systems",
author = "Melkemi, {Kamal E.} and Mohamed Batouche and Sebti Foufou",
year = "2005",
doi = "10.1109/ispa.2005.195421",
language = "English (US)",
isbn = "953184089X",
series = "Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium",
publisher = "IEEE Computer Society",
pages = "268--273",
booktitle = "ISPA 2005 - Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis",
note = "ISPA 2005 - 4th International Symposium on Image and Signal Processing and Analysis ; Conference date: 15-09-2005 Through 17-09-2005",
}