15th European Conference on Artificial Intelligence
|July 21-26 2002 Lyon France|
Nathalie Richard, Michel Dojat, Catherine Garbay
To cope with the difficulty of 3D MRI brain scans segmentation, specification and instantiation of a priori models should be constrained by local images characteristics. We introduce situated cooperative agents for the extraction of domain and control knowledge from image grey levels. Their dedicated behaviours, i.e segmentation of one type of tissue, are dynamically adapted function of their position in the image, topographic relationships and radiometric information gradually gained during local region growing processes. Acquired knowledge is gathered and shared via qualitative maps. Incremental refinement of the segmentation is obtained through the combination, distribution and opposition of solutions concurrently proposed by the agents.
Keywords: Autonomous Agents, Multi-Agent Systems, Vision
Citation: Nathalie Richard, Michel Dojat, Catherine Garbay: Situated Cooperative Agents: a Powerful Paradigm for MRI Brain Scans Segmentation. In F. van Harmelen (ed.): ECAI2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002, pp.33-37.