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.
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)