灰度图像边缘检测方法的比较  

Comparison of Gray Image Edge Detection Method

作　　者：夏百花[1] 杜晓婷[1] 方飞[1] 

机构地区：[1]安徽三联学院,安徽合肥230601

出　　处：《佳木斯大学学报（自然科学版）》2015年第5期661-664,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：安徽三联学院校级项目(编号2013Z017);安徽省高等教育振兴计划新专业建设项目(2013zytz082)

摘　　要：目前,在图像处理中如何准确且清晰地检测出目标图像的边缘是亟待解决的问题之一.本文主要介绍了几种经典的边缘检测方法,然后以同一幅汽车图像为例,通过Matlab进行仿真实验,给出了边缘检测的效果图和添加高斯白噪声之后的对比图,并对结果进行比较分析.最后对图像处理的发展方向提出了自己的观点.How to detect the edge of the target image accurately and clearly in the image processing is an urgent problem. This paper mainly introduced several classical edge detection methods. And then took the same image as an example, through the Matlab simulation experiments, the effect of the edge detection and the com- parison of the Gauss White Noise was given and the results were compared and analyzed. In the end, the paper put forward the views on the development of image processing.

关 键 词：边缘检测 微分算子 数字图像 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]