Infrared Image Edge Detection System Design Based on Simulink and Stateflow
You-wei An · Video Engineering · 2013
Cellular neural network(CNN) achieves good results in the infrared image edge detection,but its application prospects are restricted by CNN hardware system.Considering the cycle is long and high-risk of CNN hardware development,the infrared image edge detection system based on cellular neural networks is achieved by model-based design method.Combining Simulink,Stateflow with theory of CNN,the IP core of CNN should be establish.Then the input and output module is designed by the serial structure,the system is achieved the real-time simulation.The verilog-code of the system is automatically generated.The experimental results demonstrated:the model-based design method obtain good results.Implemented target a Virtex-6 FPGA from Xilinx,system reach the 142.693 MHz of highest frequency and 7.927 Mpixel/s of processing speed.