基于微分算子的边缘检测及其应用  

Edge Detection and Its Application Based on Differential Operators

作　　者：王军敏[1] 姬鹏飞[1] 

机构地区：[1]平顶山学院电气信息工程学院,河南平顶山467099

出　　处：《平顶山学院学报》2015年第2期85-89,共5页Journal of Pingdingshan University

基　　金：平顶山学院青年科研基金(PXY-QNJJ-2014001);平顶山学院中青年骨干教师资助

摘　　要：边缘是图像中的重要特征,利用微分算子能够检测图像中的边缘.对常用的Roberts算子、Prewitt算子、Sobel算子、Laplace算子、LOG算子的基本原理进行了分析,并利用这几种微分算子对图像边缘检测进行了仿真,对比分析了这几种微分算子的优缺点.最后,展示了微分算子边缘检测的应用.Edge is the important characteristic of image,and differential operators can be adopted to detect the edge in the image. The fundamental discipline of some differential operators such as Roberts,Prewitt,Sobel,Laplace and LOG,are analyzed,and the image edge detection by these differential operators is simulated. According to the simulation result,the advantages and defects of the above-mentioned differential operators are analyzed and compared. Finally,some applications of edge detection based on differential operators are presented.

关 键 词：边缘检测 微分算子 Roberts Prewitt SOBEL LAPLACE LOG 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]