基于FPGA的视频自适应Sobel算法设计与实现

摘  要：该文首先对标准Sobel算法进行分析，然后针对算法在其他方向边缘检测效果不好和阈值需要人为设定等不足对算法进行改进和优化。该设计采用FPGA作为硬件平台，利用其并行处理能力，对Sobel算法进行硬件加速，使其能够自适应地处理不同分辨率和帧率的视频流。

关键词：Sobel算法；双线性插值；FPGA；自适阈值；硬件加速

中图分类号：TP301      文献标志码：A          文章编号：2095-2945（2024）32-0015-04

Abstract： This paper first analyzes the standard Sobel algorithm， and then improves and optimizes the algorithm to address the shortcomings of the algorithm such as poor edge detection performance in other directions and the need to manually set thresholds. This design uses FPGA as the hardware platform， and uses its parallel processing capabilities to hardware accelerate Sobel algorithm， making it able to adaptively process video streams with different resolutions and frame rates.

Keywords： Sobel algorithm; bilinear interpolation; FPGA; adaptive threshold; hardware acceleration

边缘检测是找出图像中物体的边界，这些边界通常表现为像素强度的显著变化[1-2]。（剩余3047字）