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21 September 2001 Novel intelligent multi-agent image segmentation method with confidence estimate
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
A new image segmenting method with multi-agent structure is proposed to cope with the image variability and the intrinsic complexity of segmenting tasks. This method includes agents of nine different functions, namely, control, multi-valued segmentation, region splitting, region merging, marking, regional feature calculation, spatial relationship analysis, and confidence calculation. With the exception of carrying on communication in the form of instructions and answers, the communication and coordination of work between agents are performed through the reception and operation of various (original and processing-generated) data on the blackboard. The final segmentation results jointly obtained by the multiple agents take segmented subregion confidence as a component for characterizing the region feature vector. The object identification algorithm will make use of the domain knowledge of objects and features with confidence component for detection and identification of the segmentation results. The flexibility, adaptability and robustness of this method have been confirmed by experimental results.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tianxu Zhang and Fei Wu "Novel intelligent multi-agent image segmentation method with confidence estimate", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001);

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