This paper describes a multi-agent segmentation approach in which asynchronous agents combine low-level image processing with high-level reasoning. Agents each have their own image processing specialty and communicate and collaborate with other agents to resolve conflicts with the mutual goal to come to a consistent overall interpretation of image runs. Agents locally adjust their behavior and control the image processing depending on image content.
CITATION STYLE
Bovenkamp, E., Dijkstra, J., Bosch, J. G., & Reiber, J. (2001). Collaborative multi-agent IVUS image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 1185–1186). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_155
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