Automatic extraction of characteristic light stripe in vision measurement of smooth metal surface

LIU Chang-ying; LIU Yang; GUO Ji-dong; CHU Xin-ze; Yang Da-peng

doi:10.3788/OPE.20162413.0583

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Automatic extraction of characteristic light stripe in vision measurement of smooth metal surface

更新时间：2020-08-13

- Automatic extraction of characteristic light stripe in vision measurement of smooth metal surface
- Optics and Precision Engineering Vol. 24, Issue 10s, Pages: 583-590(2016)
- 作者机构：
  
  吉林大学仪器科学与电气工程学院,吉林长春,130026
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162413.0583
  CLC： TP394.1;TH691.9
- Received：05 June 2016，
  
  Revised：12 June 2016，
  
  Published：14 November 2016
- 稿件说明：
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刘长英, 刘洋, 郭继东等. 光滑金属曲面视觉测量特征光条自动提取[J]. 光学精密工程, 2016,24(10s): 583-590

LIU Chang-ying, LIU Yang, GUO Ji-dong etc. Automatic extraction of characteristic light stripe in vision measurement of smooth metal surface[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 583-590
刘长英, 刘洋, 郭继东等. 光滑金属曲面视觉测量特征光条自动提取[J]. 光学精密工程, 2016,24(10s): 583-590 DOI： 10.3788/OPE.20162413.0583.

LIU Chang-ying, LIU Yang, GUO Ji-dong etc. Automatic extraction of characteristic light stripe in vision measurement of smooth metal surface[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 583-590 DOI： 10.3788/OPE.20162413.0583.

摘要

为了实现结构光视觉测量法对光滑金属曲面的测量，需要对特征光条图像进行提取。论文以动车车轴轴径测量为例，对测量中的特征光条感兴趣区域和特征光条的自动提取方法进行了分析和研究。首先，根据车轴特征光条的成像特征设计了腐蚀模板；接着，通过形态学图像处理技术，即腐蚀技术和形态学重建技术等得到特征光条图像的感兴趣区域；然后，在感兴趣区域内初步提取出光条基准线；最后，在基准线基础上求取各点法向量，在各法向量方向上求取形心得到特征光条中心。实验结果表明：本文方法可以快速、准确地确定特征光条感兴趣区域并提取特征光条，根据所得特征光条中心所求得的轴径标准差小于0.015 mm。完全满足动车组车轴视觉测量中特征光条提取的速度快、精度高、稳定性好及抗干扰能力强等要求。

Abstract

In order to achieve the measurement of smooth metal surface with the structure-light vision measurement method

it is required to extract image of the characteristic light stripe. In this paper

measurement for diameter of a motor car axle is taken as an example for analysis and research on Region-of-Interest(RoI) of the characteristic light stripe and the method for its automatic extraction. first

the corrosion template is designed in accordance with imaging features of the axle light stripe; second

the RoI of the characteristic light stripe image is obtained by means of the morphological image processing technique

namely the corrosion technique and morphological reconstruction technique

etc.

and then the reference line of the light stripe is preliminarily extracted in the RoI; finally

the normal vector of each point is calculated based on the referenced line

and then the center of the characteristic light stripe is confirmed by working out the ball center in each normal vector. Experimental results indicate that RoI of the characteristic light stripe can be quickly and accurately confirmed

thus the characteristic light stripe can be extracted automatically. The standard deviation of the axle diameter calculated based on center coordinate of the characteristic light stripe shall be less than 0.015 mm. The method completely satisfies the requirements for extraction of characteristic light stripe in the vision measurement of motor car axle

and such requirements include fast speed

high precision

good stability and strong anti-jamming capacity.

关键词

Keywords

references

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