Paper
30 August 2002 Adaptive multi-agent-based approach for edge detection in scattered data
Saida Bouakaz, Salima Hassas, Yannick Perret, Weichi Sun
Author Affiliations +
Abstract
Coherent contours generation requires a judicious combination of processing at di erent levels of details, making this process very complex to achieve. Indeed, one has to analysis locally surfaces irregularities, to select at an intermediate level, the right edges among a set of candidates, and to obtain at a higher level, a coherent semantics that represents the global topology of the surface. We propose in this paper an adaptive approach, using the multi-agents paradigm to achieve this task. In our approach, three kinds of agents are used, each associated with a level of analysis. Agents of a same level as well as of di erent levels, interact together using the shared environment, in a cooperative way. At a same level, intermediate results are exchanged whereas inter-levels interactions, allows higher levels agents to guide to processing of lower levels agents, by giving them feedback of their work, through reinforcement/inhibition mechanisms.
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Saida Bouakaz, Salima Hassas, Yannick Perret, and Weichi Sun "Adaptive multi-agent-based approach for edge detection in scattered data", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481622
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KEYWORDS
Connectors

Sensors

Edge detection

Image processing

Image segmentation

Environmental sensing

Process modeling

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