TITLE:
Agent Based Segmentation of the MRI Brain Using a Robust C-Means Algorithm
AUTHORS:
Hanane Barrah, Abdeljabbar Cherkaoui, Driss Sarsri
KEYWORDS:
Agents and MAS, MR Images, Fuzzy Clustering, C-Means Algorithm, Image Segmentation
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.10,
August
10,
2016
ABSTRACT: In the last decade, the MRI (Magnetic
Resonance Imaging) image segmentation has become one of the most active
research fields in the medical imaging domain. Because of the fuzzy nature of
the MRI images, many researchers have adopted the fuzzy clustering approach to
segment them. In this work, a fast and robust multi-agent system (MAS) for MRI
segmentation of the brain is proposed. This system gets its robustness from a
robust c-means algorithm (RFCM) and obtains its fastness from the beneficial
properties of agents, such as autonomy, social ability and reactivity. To show
the efficiency of the proposed method, we test it on a normal brain brought
from the BrainWeb Simulated Brain Database. The experimental results are
valuable in both robustness to noise and running times standpoints.