Real-Time Edge Detection System for Video Based on FPGA
In order to solve the problem of insufficient details in capturing image edge information using the classic Sobel operator edge detec-tion,and to address the problems of poor real-time performance and low speed of traditional software based image processing techniques,an eight direction adaptive threshold Sobel operator edge detection algorithm based on the classic Sobel operator is proposed,and it is run on an FPGA chip.To evaluate the performance of the algorithm,OV7725 camera was used to obtain video image information,and then secondary processing was performed through grayscale conversion,Gaussian filtering,and edge detection algorithms.The experiment shows that the im-proved Sobel operator edge detection algorithm has a significant improvement in edge detection performance compared to the classical Sobel op-erator,and can more accurately capture the detailed information of image edges.The running speed on FPGA can meet the requirements of re-al-time performance,providing a feasible solution for real-time image processing in the FPGA field.
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