Dataflow orchestration of image processing algorithms using high-level petri nets

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.