Distributed image processing for automatic target recognition

Roger F. Cozien

doi:10.1117/12.417209

12 February 2001 Distributed image processing for automatic target recognition

Roger F. Cozien

Proceedings Volume 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology; (2001) https://doi.org/10.1117/12.417209
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

Our purpose is, in medium term, to detect in air images, characteristic shapes and objects such as airports, industrial plants, planes, tanks, trucks, … with great accuracy and low rate of mistakes. However, we also want to value whether the link between neural networks and multi-agents systems is relevant and effective. If it appears to be really effective, we hope to use this kind of technology in other fields. That would be an easy and convenient way to depict and to use the agents' knowledge which is distributed and fragmented. After a first phase of preliminary tests to know if agents are able to give relevant information to a neural network, we verify that only a few agents running on an image are enough to inform the network and let it generalize the agents' distributed and fragmented knowledge. In a second phase, we developed a distributed architecture allowing several multi-agents systems running at the same time on different computers with different images. All those agents send information to a "multi neural networks system" whose job is to identify the shapes detected by the agents. The name we gave to our project is Jarod.

Citation Download Citation

Roger F. Cozien "Distributed image processing for automatic target recognition", Proc. SPIE 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, (12 February 2001); https://doi.org/10.1117/12.417209

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