Segmentation of Images based Cellular Automata-Reactive Agent Implemented in Netlogo Platform

In this paper, a method based on a coupling multi-agent system and cellular automata to solve a problem of image segmentation, is developed. The used agent is of reactive type. The creation and the death of agents are related to the development of cellular automata. In this work a cellular automata is as a grid of cells of planar structure (image segmentation), with a Moore neighborhood is proposed. Two functions of transitions are used to vary cellular automata; and each agent will get two states. In order to validate this work, NetLogo platform is used and applied to mammograms, and results are satisfactory.