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Proceedings Paper

Multiagent-based system for parallel image processing
Author(s): Maximilian Lueckenhaus; Wolfgang Eckstein
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Paper Abstract

Parallelization of image analysis tasks forms a basic key for processing huge image data in real time. At this, suitable subtasks for parallel processing have to be extracted and mapped to components of a distributed system. Basically, this task should be done by the processing system and not by the user, as automatical parallelization allows a flexible resource management and reduces time for developing image analysis programs. This paper describes a multi-agent based system for planning and performing image analysis tasks within a distributed system. It illustrates a method for modeling image analysis tasks under the viewpoint of parallel processing and explains the special design requirements for parallelizing agents. Furthermore, we describe concepts for agent cooperation and for using the agent's ability of learning to allow long term improvement of its planning and scheduling strategies. The presented image analysis system allows an architecture-independent parallel processing of image analysis tasks with an optimized resource management.

Paper Details

Date Published: 19 September 1997
PDF: 10 pages
Proc. SPIE 3166, Parallel and Distributed Methods for Image Processing, (19 September 1997); doi: 10.1117/12.279631
Show Author Affiliations
Maximilian Lueckenhaus, Technical Univ. of Munich (Germany)
Wolfgang Eckstein, Technical Univ. of Munich (Germany)

Published in SPIE Proceedings Vol. 3166:
Parallel and Distributed Methods for Image Processing
Hongchi Shi; Patrick C. Coffield, Editor(s)

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