Design of verification platform for FPGA shape selection algorithm and its application in grain classification

With the rapid development of FPGA image algorithm, the verification of FPGA image algorithm is more and more important. This paper presents a fast verification platform for shape selection. Different from other methods, the verification platform can generate testbench files quickly and verify simulation results intuitively. In this paper, through the verification of FPGA shape selection algorithm in grain classification, it proves its superiority. The result shows that the verification platform can effectively verify the defects and shorten the development time of FPGA shape selection algorithm. Therefore, the verification platform can be used as a powerful tool to optimize and upgrade the FPGA shape selection algorithm.