Implementation and Optimization of FPGA-Based Edge Detection Algorithm

Under the premise of the rapid development of FPGA, field-programmable gate arrays are widely used in large-scale data processing fields such as digital image processing because of the characteristics of parallel pipeline structure, their fast data processing speed, and large data processing volume. Based on this, this paper uses the Verilog language to design and optimize the FPGA-based image processing system for the Sobel algorithm to complete the acquisition, storage, and image display of image data, to realize the Sobel edge detection algorithm, and to implement the Sobel edge detection algorithm in Altera’s Cyclone IV series. Perform simulation and hardware debugging on the FPGA chip. The simulation results show that the FPGA-based Sobel algorithm is combined with VGA display technology. Compared with the serial processing using software, the speed is much improved and the accuracy of the detection results is guaranteed. This research has a lot of useful value in the field of digital image processing.