A New Distributed Approach for Range Image Segmentation

In this paper we introduce a new distributed approach for image segmentation based on multi-agent systems. Several agents are placed randomly in the image, then each of them starts a region growing around its position. Several agents can be within the same homogeneous region. So, they must exchange information to better labeling pixels reached by these agents. Every labeled pixel is smoothed by replacing its parameters by those of the pixel in the center of the region seed. A set of real range images from the ABW image base was used to evaluate the proposed approach. Experimental results show the potential of the approach to provide an accurate and efficient image segmentation.