首页 | 官方网站   微博 | 高级检索  
     

基于局部特征的图像边缘检测
引用本文:李春华,周激流,何坤b. 基于局部特征的图像边缘检测[J]. 计算机应用研究, 2009, 26(7): 2786-2788. DOI: 10.3969/j.issn.1001-3695.2009.07.113
作者姓名:李春华  周激流  何坤b
作者单位:1. 四川大学电子信息学院,成都,610065
2. 四川大学计算机学院,成都,610065
摘    要:针对传统边缘检测对噪声较敏感且不能准确定位的不足,分析了图像边缘邻域像素之间的关系,提出了基于局部特征的图像边缘检测方法,建立了判断该像素点是否位于边缘上的准则函数。本方法以像素点为研究对象,检测的边缘可能为噪声点或伪边缘点,因此利用图像边缘连续性和噪声点孤立性的特点,运用形态学提取图像边缘并克服了噪声对边缘检测的影响;然后运用形态方向梯度去除伪边缘点。实验结果表明该方法能够准确地检测出图像的边缘,并克服了传统利用微分算子检测边缘的不足。

关 键 词:形态方向梯度  高斯噪声  边缘局部特征  边缘检测

Edge detection of image on local feature
LI Chun hua,ZHOU Ji liu,HE Kunb. Edge detection of image on local feature[J]. Application Research of Computers, 2009, 26(7): 2786-2788. DOI: 10.3969/j.issn.1001-3695.2009.07.113
Authors:LI Chun hua  ZHOU Ji liu  HE Kunb
Affiliation:(a.College of Electric Information, b.College of Computer Science, Sichuan University, Chengdu 610065, China)
Abstract:Aiming at the shortage of the traditional edge detection methods,which were sensitive to the noise comparatively and could not locate the edge exactly,the paper analyzed the relationship of the neighborhood of pixels and put forward edge detection method of the image based on local feature. Then introdued the function expression which was used to estimate whether the pixel was on the image edge or not. The method took the pixel as the research object,and the edge point to be detected was perhaps the noise o...
Keywords:morphological gradient   Gaussian noise   edge local feature   edge detection
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号