粗糙金属表面光条中心提取方法

赵博华; 王伯雄; 张金; 罗秀芝

doi:10.3788/OPE.20111909.2138

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粗糙金属表面光条中心提取方法

信息科学 | 更新时间：2020-08-12

- 粗糙金属表面光条中心提取方法
- Extraction of laser stripe center on rough metal surface
- 光学精密工程 2011年19卷第9期页码：2138-2145
- 作者机构：
  
  清华大学精密仪器与机械学系精密测试技术及仪器国家重点实验室北京,100084
- 作者简介：
- 基金信息：
  
  国家863高技术研究发展计划资助项目(No.2008AA042207)()
- DOI：10.3788/OPE.20111909.2138
  中图分类号： TP391.4
- 收稿日期：2010-12-27，
  
  修回日期：2011-01-25，
  
  网络出版日期：2011-09-26，
  
  纸质出版日期：2011-09-26
- 稿件说明：
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赵博华, 王伯雄, 张金, 罗秀芝. 粗糙金属表面光条中心提取方法[J]. 光学精密工程, 2011,19(9): 2138-2145

ZHAO Bo-hua, WANG Bo-xiong, ZHANG Jin, Luo Xiu-zhi. Extraction of laser stripe center on rough metal surface[J]. Editorial Office of Optics and Precision Engineering, 2011,19(9): 2138-2145
赵博华, 王伯雄, 张金, 罗秀芝. 粗糙金属表面光条中心提取方法[J]. 光学精密工程, 2011,19(9): 2138-2145 DOI： 10.3788/OPE.20111909.2138.

ZHAO Bo-hua, WANG Bo-xiong, ZHANG Jin, Luo Xiu-zhi. Extraction of laser stripe center on rough metal surface[J]. Editorial Office of Optics and Precision Engineering, 2011,19(9): 2138-2145 DOI： 10.3788/OPE.20111909.2138.

摘要

为了精确提取粗糙金属表面的光条中心

提出了一种基于光切法的光刀条纹中心提取方法。从图像形态学角度出发

分析了图像的噪声来源

利用图像增强处理将噪声转化成颗粒状形态

并保持有效光条的连续条纹状特征。然后

通过对图像连通区域面积计数

分割噪声和有效光条信息

将得到的二值化光条图像作为掩模板

与原图像相乘来复原光条图像的灰度信息。最后

应用灰度重心法对已去噪的光条灰度图像进行中心提取。实验结果表明

提出的方法可使提取的光条中心全部落在光条位置区域。对噪声较多的直线条纹区域进行的中心提取显示

此方法的平均误差为0.337 5个像素。

Abstract

To extract the laser stripe center of a rough metal surface accurately

an extraction method based on light cutting was presented. Firstly

the noise source of an image was analyzed by the image morphology

then the noise was converted into a granular shape while the continuous feature of an effective laser-stripe was still kept through an image enhancement processing.The noise and the laser-stripe were segmented by counting the connected areas of the image

and the denoised binary laser-stripe image was taken as a mask to be multiplied by the original image to recover the gray scale information of the laser-stripe image. Finally

the denoised laser-stripe center of the gray scale image was extracted with a barycenter method. Experimental results show that the laser-stripe centers extracted with the proposed method all locate in the laser-stripe region. The average error of the center extraction of a much-noised straight line laser-stripe by this method can reach 0.337 5 pixels.

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Keywords

references

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