Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
FPGA Implementations of Neural Networks
FPGA Implementations of Neural Networks
Real-time computation of Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
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The HESS project has been running successfully for seven years. In order to take into account the sensitivity increase of the entire project in its second phase, a new trigger scheme is proposed. This trigger is based on a neural system that extracts the interesting features of the incoming images and rejects the background more efficiently than classical solutions. In this article, we present the basic principles of the algorithms as well as their hardware implementation in FPGAs (Field Programmable Gate Arrays).