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| 噪声对边缘定位精度的影响 | |
| 引用本文： | 田原嫄,孔银昌,崔凯,谭庆昌.噪声对边缘定位精度的影响[J].武汉理工大学学报,2012,34(7):141-145. |
| 作者姓名： | 田原嫄 孔银昌 崔凯 谭庆昌 |
| 作者单位： | 1. 东北电力大学机械工程学院,吉林,132012 2. 黄淮学院信息工程系,驻马店,463000 3. 重庆大唐国际武隆水力开发有限公司,重庆,408506 4. 吉林大学机械科学与工程学院,长春,130022 |
| 基金项目： | 吉林省教育厅科研项目，东北电力大学研究生教改项目，河南省科技攻关项目 |
| 摘 要： | 针对噪声对图像边缘检测等过程带来的极大干扰严重地影响了图像质量的问题,研究图像中所混有的白噪声对边缘定位精度的影响。采用一维灰度矩法与高斯拟合法这两种亚像素边缘定位法进行比较、分析,分别讨论了两种算法在偏移量不变、不同信噪比情况下,噪声对边缘定位精度的影响。实验结果表明,在对受噪声影响的图像进行边缘检测时,采用高斯拟合法能够有效地抑制噪声,提高检测精度,在信噪比SNR≥30dB时的分辨率精度能达到0.02个像素,而一维灰度矩亚像素边缘法无法达到该精度。 |
| 关 键 词： | 边缘检测 定位精度 噪声 信噪比 高斯拟合法 |
Precise of Edge Orientation Affected by Noise |
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| TIAN Yuan-yuan , KONG Yin-chang , CUI Kai , TAN Qing-chang.Precise of Edge Orientation Affected by Noise[J].Journal of Wuhan University of Technology,2012,34(7):141-145. | |
| Authors: | TIAN Yuan-yuan KONG Yin-chang CUI Kai TAN Qing-chang |
| Affiliation: | 1.School of Energy Sources and Mechanical Engineering,Northeast Dianli Universty,Jilin 132012,China; 2.Department of Information Engineering,Huanghuai University,Zhumadian 463000,China; 3.Chongqing Datang International Wulong Hydropower Development Co,Ltd,Chongqing 408506,China; 4.School of Mechanical Science and Engineering,Jilin University,Changchun 130022,China) |
| Abstract: | Noise interference with image impacts on image quality severely.It brings great difficult for the course of image edge detection.So an important problem during image process is to research precise of edge orientation affected by noise.In the paper,methods of sub-pixel edge orientation such as 1-dimention gray moment algorithm and Gauss fitting method are used.The paper discussed affection of edge orientation precise by noise under two conditions respectively.One is that signal to noise ratio(SNR) and displacement are different using above there methods.The other is that the same SNR using the same method.The research in this paper is greatly valuable in order to restrain noise availably,protect edge details and improve detection precise.When SNR is above or equal 30 dB,resolution precision is 0.02 pixels obtained by using Gauss fitting method rather than 1-dimention gray moment algorithm. |
| Keywords: | edge detection orientation precision noise signal to noise ratio(SNR) Gauss fitting method |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |