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- W2000423419 abstract "Reliability of vision systems may be enhanced by a good integration of prior knowledge and the cooperation between various image processing approaches. But the design of such a vision system is a challenging problem: carrying out the integration of many descriptive and operational knowledge induces control problems and then requires a suitable underlying software architecture. Cooperative image-situated agents provide an interesting atomic abstraction to carry out and process knowledge in a modular adapted and distributed manner, in order to avoid anarchic behaviours, we propose to map an irregular pyramid on the agents’ society. The pyramid organizes and constraints the agents’ population in a structured society so global constraints can be guaranteed. Autonomous agents may implement local processing adaptation and sophisticated cooperative behaviours. After a presentation of this new methodological approach, we present an evaluation on a computed tomography breast image segmentation. The agents’ pyramid is compared with classical segmentation approaches, then we propose a global analysis of the system through a set of measures compared to an opinion poll in human society." @default.
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- W2000423419 date "2003-10-01" @default.
- W2000423419 modified "2023-09-26" @default.
- W2000423419 title "Cooperative agents society organized as an irregular pyramid: A mammography segmentation application" @default.
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- W2000423419 doi "https://doi.org/10.1016/s0167-8655(03)00077-1" @default.
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