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Engraved Character Recognition of Train Wheelset Based on the Total Least Square Method

  • Shuang Zhang
  • Hua Wang
  • Jin-gang Gao
  • Chun-qi Xing
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

According to the characteristics of depth information of the engraved characters and the lack of color difference to the background, a line structured light sensor was applied to acquire train wheelset engraved character point cloud information. The total least square method was proposed for a 3D character point cloud processing method, in which the observation vector error and the coefficient matrix error are taken into account. According to the standard deviation of the point cloud data, abnormal points and engraved character points can be eliminated for plane fitting. A high-quality outline of the character information can be extracted from the character point cloud depth data.

Keywords

Engraved character recognition Total least square method Train wheelset Line structured light 

Notes

Acknowledgements

This work was supported by the Jilin province science and technology development-funding project. The title of the research project is Online Inspection Key Technology Research for the Train Wheelset Manufacture Quality, and the project serial number is: 20160204005GX.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shuang Zhang
    • 1
    • 2
  • Hua Wang
    • 1
  • Jin-gang Gao
    • 1
  • Chun-qi Xing
    • 3
  1. 1.School of Mechatronic EngineeringChangchun Institute of TechnologyChangchunChina
  2. 2.School of Mechanical Science and EngineeringJilin UniversityChangchunChina
  3. 3.School of Mechatronic EngineeringChangchun University of TechnologyChangchunChina

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