[1]刘 伟,薛国新.亚像素边缘检测算法[J].常州大学学报(自然科学版),2012,(04):53-57.
 LIU Wei,XUE Guo-xin.Susan-Zernike Subpixel Edge Detection Algorithm[J].Journal of Changzhou University(Natural Science Edition),2012,(04):53-57.
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亚像素边缘检测算法()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2012年04期
页码:
53-57
栏目:
出版日期:
2012-09-30

文章信息/Info

Title:
Susan-Zernike Subpixel Edge Detection Algorithm
作者:
刘 伟薛国新
常州大学 信息科学与工程学院,江苏 常州 213164
Author(s):
LIU WeiXUE Guo-xin
School of Information Science and Engineering, Changzhou University, Changzhou 213164, China
关键词:
Susan边缘检测 Zernike矩 亚像素边缘 边缘检测
Keywords:
Susan edge detection Zernike moments sub-pixel accuracy edge edge detection
分类号:
TP 391
文献标志码:
A
摘要:
针对传统边缘检测算法的定位精度低、对噪声敏感等缺点,提出了Susan-Zernike亚像素边缘检测方法。首先使用Susan边缘检测算法实现边缘粗定位,然后用Zernike算子实现边缘重定位。实验表明该算法能够很好地实现亚像素定位,且运行时间较短,效率较高。
Abstract:
The traditional edge detection algorithm is low precision and sensitive to noise. In view of this, Susan-Zernike subpixel edge detection method is put forward. First, Susan edge detection algorithm was used to determine coarse position of edge, and then to relocate edge with the Zernike operator. The experiment showed that the proposed algorithm well realized subpixel edge detection, ran faster and had higher efficiency.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:刘伟(1987 —),男,湖南耒阳人,硕士生; 通讯联系人:薛国新。
更新日期/Last Update: 2012-09-30