实时图像双边缘检测算法及FPGA实现  

Double-edge Detection of Real-time Image Based on FPGA

作　　者：祁佳[1] 刘紫燕[1] 

机构地区：[1]贵州大学计算机科学与信息学院,贵州贵阳550025

出　　处：《电视技术》2014年第3期64-65,85,共3页Video Engineering

基　　金：贵州省科学技术基金项目([2011]2193号)

摘　　要：传统的单独采用Roberts和Sobel算子对实时图像的边缘进行检测,其检测出的结果在边缘精度和抗噪能力方面都有待提高。首先将实时图像经过中值滤波来去除噪声,然后再进行Roberts边缘和Sobel边缘检测,实现双边缘检测,最后将得到的边缘数据在FPGA上实现。实验结果表明,双边缘检测优于单独采用Roberts或Sobel边缘检测算法,检测出的边缘更加清晰,抗噪能力增强。The Roberts and Sobel operators are the commonly algorithms of edge detection, but the results need to be improved. In this paper, a double-edge detection method is used for real-time image. In details, after using the median filtering to counteract the noise of images, the Roberts oper- ator is used for detecting the edge, and then the Sobel operator is utilized for detecting the Roberts edge data. Finally the implementation on FPGA is also proposed, which achieves better performance of clearer edge and higher anti-noise capability.

关 键 词：中值滤波 Roberts SOBEL FPGA 边缘检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]