To solve the problems that image processing algorithms are becoming more and more complex and ordinary computing platforms can no longer meet the current needs,the FAST corner detection algorithm and Sobel edge detection algorithm were hardware-accelerated according to the parallel computing characteristics of field programmable gate array(FPGA),and the two algorithms were designed and optimized using HLS(high level synthesis)technology.To improve the overall performance of the system,all video input and output interfaces and the complete path of the image algorithm were implemented on the FPGA,and the FPGA algorithm circuit was compared with the OpenCV algorithm program.The former is 9-11 times faster than the latter,and the system consumes only 1.9 W and the image detection can be up to 56 fps,which meets the requirement of real-time image processing,and provides a reference for designing complex image processing system in the fature.
维普
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