In the last decade, the MRI (Magnetic Resonance Imaging) image segmentation has become one of\nthe most active research fields in the medical imaging domain. Because of the fuzzy nature of the\nMRI images, many researchers have adopted the fuzzy clustering approach to segment them. In\nthis work, a fast and robust multi-agent system (MAS) for MRI segmentation of the brain is proposed.\nThis system gets its robustness from a robust c-means algorithm (RFCM) and obtains its\nfastness from the beneficial properties of agents, such as autonomy, social ability and reactivity.\nTo show the efficiency of the proposed method, we test it on a normal brain brought from the\nBrainWeb Simulated Brain Database. The experimental results are valuable in both robustness to\nnoise and running times standpoints.
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