The Research and Implementation of Sobel Calculatory based on FPGA

The edge of the image carries a lot of important image information. When extracting the edge of the image, it can effectively reduce the amount of data while retaining most of the graphic information. And edge recognition is also the basic technology of image processing and machine vision, especially in the field of image feature extraction. The Sobel operator is an important processing method in the field of image processing, which is mainly used to obtain a degree of digital image. This article uses the dual-core ARM Cortex-A9 processor embedded in the ZYNQ platform to perfectly combine the software programmability with the hardware programmability of the FPGA, uses HLS to achieve Sobel detection, and introduces a new VDMA operation method. The image is displayed in the memory mode, and the system advantages of low power consumption and low cost realize the unparalleled system performance, flexibility, and scalability of a single chip, and accelerate the time to market of graphics processing products.