高铁路基沉降监测系统靶面图像中心定位

闵永智; 郭薇; 党建武

doi:10.3788/OPE.20172513.0288

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高铁路基沉降监测系统靶面图像中心定位

信息科学 | 更新时间：2020-08-13

- 高铁路基沉降监测系统靶面图像中心定位
- Center positioning of target surface image for subgrade settlement monitoring system of high-speed rail
- 光学精密工程 2017年25卷第10s期页码：288-296
- 作者机构：
  
  1. 兰州交通大学自动化与电气工程学院,甘肃兰州,730070
  2. 甘肃省轨道交通电气自动化工程实验室(兰州交通大学), 甘肃兰州 730070
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No.61663022）();国家自然科学基金资助项目（No.61461023）();甘肃省高原信息工程及控制重点实验室开放课题基金资助项目（
- DOI：10.3788/OPE.20172513.0288
  中图分类号： U213.2+44
- 收稿日期：2017-07-05，
  
  修回日期：2017-07-27，
  
  纸质出版日期：2017-11-25
- 稿件说明：
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闵永智, 郭薇, 党建武. 高铁路基沉降监测系统靶面图像中心定位[J]. 光学精密工程, 2017,25(10s): 288-296

MIN Yong-zhi, GUO Wei, DANG Jian-wu. Center positioning of target surface image for subgrade settlement monitoring system of high-speed rail[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 288-296
闵永智, 郭薇, 党建武. 高铁路基沉降监测系统靶面图像中心定位[J]. 光学精密工程, 2017,25(10s): 288-296 DOI： 10.3788/OPE.20172513.0288.

MIN Yong-zhi, GUO Wei, DANG Jian-wu. Center positioning of target surface image for subgrade settlement monitoring system of high-speed rail[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 288-296 DOI： 10.3788/OPE.20172513.0288.

摘要

无砟轨道表面沉降监测系统通过定位激光图像中心得到测量标靶沉降前后的距离数据差值，以此来反映监测点相对于基准点的路基沉降变形程度，靶面图像的中心定位技术关系到监测系统的测量精度。针对传统光条中心定位技术在对激光与靶面距离较远时的激光图像定位会产生较大误差的问题，提出了利用十字光斑交点粗定位和局部灰度质心法精确定位的两步定位十字光斑图像中心的算法。首先在图像预处理的基础上提取十字光斑图像的形状特征，得到二值化图像；然后根据十字光斑图像的形状特征，粗略定位十字中心交点，在局部矩形区域内使用灰度质心法定位得到图像中心。实验结果表明，整个实验过程计算时间为1 s，实验标准差为0.145。与使用灰度质心法定位椭圆光斑相比，本文算法具有较高的计算精度，用时较短，适用于无砟轨道表面沉降监测系统。

Abstract

Affects measurement accuracy of monitoring system was affected by the center positioning technology of target image. Aimed at the problem that laser image positioning of traditional laser strip center positioning technologycauses larger error when the distance between laser and target surface is relatively far

algorithm of positioning cross light spot image center with two steps by precise positioning using coarse positioning of cross light spot intersection and local gray centroid method was proposed:shape features of cross light spot image were extracted based on image preprocessing to obtain binary image firstly; secondly cross centre intersection was positioned coarsely according to shape features of cross light spot images

and image center was obtained by positioning with gray centroid method in local rectangular region. Experimental result shows that calculation time of the whole experimental process is 1 s and standard deviation of the experiment is 0.145. Compared with elliptic light spot positioning with gray centroid method

algorithm in the article has higher calculation accuracy with shorter time and is applicable to surface settlement monitoring system of ballastless track.

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references

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