An Agent-Based Approach for Range Image Segmentation

Abstract. In this paper an agent-based segmentation approach is presented and discussed. The approach consists in the utilization of autonomous agents for the segmentation of a range image in its different planar regions. The moving agents perform cooperative and competitive actions on the image pixels allowing a robust extraction of regions and an accurate edge detection. An artificial potential field, created around pixels of interest, allows the agents to be gathered around edges and noise regions. The results obtained with real images are compared to those of some typical methods for range image segmentation. The comparison results show the potential of the proposed approach for scene understanding in range images regarding both segmentation performance, and detection accuracy. Key Words: Image segmentation, Multi-agent systems, Range image, artificial potential field

• Type: Conference
• Year: 2006
• Where: ATAL
• Authors: Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Mohamed Batouche
• Keywords: Agent-based Segmentation Approach, Artificial Potential Field, ATAL 2006, Intelligent Agents, Range Image