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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15701

Title: An Agent-based Approach for Range Image Segmentation
Authors: Smaine Mazouzi
Zahia Guessoum
Fabien Michel
Mohamed Batouche
Keywords: Image segmentation - Multi-agent systems - Range image - Artificial potential field
Issue Date: 2008
Publisher: Springer
Abstract: In this paper an agent-based segmentation approach is presented and evaluated. The approach consists in using a high number 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 efficiency, and detection accuracy.
URI: http://hdl.handle.net/123456789/15701
Appears in Collections:College of Computer and Information Sciences

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