几种图像边缘提取算法比较  

Comparison of several image edge extraction algorithms

作　　者：邹斌[1] 

机构地区：[1]绍兴职业技术学院,浙江绍兴312000

出　　处：《重庆文理学院学报（自然科学版）》2010年第5期44-46,共3页Journal of Chongqing University of Arts and Sciences

基　　金：绍兴市大学生科技创新项目(60672098;2006AA04Z104)

摘　　要：对几种图像边缘提取算法进行比较.首先介绍了Roberts边缘检测算子、Sobel边缘检测算、Prewitt边缘算子,其次介绍了Facet模型和基于2-D Facet模型的像素边缘检测算法,最后将Facet模型与常用边缘提取算子效果进行比较,并进行Facet模型的抗噪性检验.结果表明:基于Facet模型的图像边缘检测算法具有抗噪能力强、定位精度高的优点.In this paper,several image edge detection algorithms were compared.First the Roberts edge detector,Sobel edge detector,Prewitt edge operator were introduced,followed by the introduction of the Facet model and the based 2D-Facet pixel edge detection algorithm,and finally compared the effect of Facet model with the common edge detection operators and Facet model for anti-noise test was carried out.The result shows： based on the Facet Model for Edge Detection has strong anti-noise ability and high positioning accuracy.

关 键 词：ROBERT算子 微分算子 FACET模型 ICT图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]