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Dataflow orchestration of image processing algorithms using high-level petri nets
Kaiserslautern, Germany September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.547th International Conference on Hybri ...
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Bjorn Wagner, Fraunhofer Institut Techno- und Wirtschaftsmathematik, Germany
Andreas Dinges, Fraunhofer Institut Techno- und Wirtschaftsmathematik, Germany
Paul Muller, TU Kaiserslautern, Integrated Communication Systems Group
Image processing algorithms for industrial systems tend to be very complex and specialised to the particular case. We present a new way of modeling image-processing algorithms for distributed systems using high level petri-nets. We present the modeling of image-processing as dataflow networks of basic building blocks. Petri nets seem to be well suited for modeling such dataflow networks. We analyse the the usability and limitations of classical petri nets for this task and go on into the required extensions. Furthermore we present our implementation of a distributed service-oriented industrial image-processing system.
Citation:
Bjorn Wagner, Andreas Dinges, Paul Muller, "Dataflow orchestration of image processing algorithms using high-level petri nets," his, pp.344-347, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007
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