基于改进的Canny算子实时视频边缘检测系统在FPGA上的设计与实现

Design and Implementation of Real-time Video Edge Detection System Based on Improvement of Canny Algorithm on FPGA

为了提高图像边缘检测的性能,缩短处理时间,提出了一种基于FPGA的实时视频边缘检测系统;该系统以EP2C8Q208C8为实验硬件平台,首先采用摄像头OV7670获取模拟视频数据,双端口SDRAM实现对图像数据的缓存,利用FPGA并行处理的特点,采用Verilog HDL硬件描述语言实现改进的Canny边缘检测算法,最终实现在VGA显示屏上显示图像边缘的效果;实验结果表明,较传统的边缘检测算法,该系统边缘检测定位精度高,对噪声的抗干扰能力强,能够准确快速的输出图像边缘信息。

In order to improve the performance of image edge detection and shorten the processing time, We proposed a real-time video edge detection system based on FPGA. The system takes EP2C8Q208C8 as the experimental hardware platform, first the system receive the analog video data by using camera OV7670 and storage this data by the dual-port SDRAM, utilize the characteristic of FPGA parallel processing to realize the improved canny edge detection algorithm by Verilog HDL hardware description language and finally displayed the image edge on the VGA monitor. The result of experiment show： compared with other traditional edge detection algorithm have high positioning accuracy, strong anti-interference ability of the noise, able to output image edge information accurately and quickly.