A Multi-Agent Model For Adaptative Image Segmentation With Connected Homogeneous Regions


In this paper we introduce a new multi-agent based approach with which a 2D image could be segmented into it’s connected homogeneous regions. it consists in an adaptive approach in the sense that it does not need neither thresholds nor calibration. Moreover, the approach is robust and is stable against the presence of noise in the image. It can be included as it is in classical image processing systems, while being a new approach to enhance as a perspective toward a self-adaptive artificial vision system. Experiment results on synthetic and real images have shown that the approach is well appropriate to image segmentation without any kind of parameter learning.

AMINA 2012 : The sixth international workshop on medical and healthcare applications, Mahdia, Tunisia