An Approach Automata Game of Life-MAS of Segmentation MRI Brain

In this article we explore the field of artificial life that opens new horizons to find solutions to problems in image processing. On the one hand, cellular automata are discrete mathematical models that can be used to study the phenomena of self-organization in a variety of complex systems, on the other hand the multi-agent systems are ideal for modelling complex systems because they offer the possibility to simulate a number of autonomous components (agents) to ascertain the nature of the phenomenon in its entirety, without controlled central. In this paper we represent a new approach to brain image segmentation based on a couple of the cellular automata model (Game of Life) agents and concepts which are proposed for the validation of the work we used at Netlogo platform. The results on MRI images are satisfactory.