Implementation of Neural Network for Image Processing on the FPGA Programmable Systems

Abstract

In this paper the implementation of fragment digital Cellular Neural Network (CNN) for image processing on the Field Programmable Gate Array (FPGA) and it's experiment results are present. The high processing speed of the network is use to provide real time processing. Results shows that the architecture CNN and FPGA and implementation has good corespondent.