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Optical stripe center line compensation method based on Gaussian filter

  • Dongyu Guo
  • , Jiwen Cui*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Optical strip centerline extraction is an important part of a linear structured light measurement system. However, in the actual detection, to reduce noise and smooth the optical strip, the optical strip centerline extraction needs to be filtered, and the current Gaussian filter is used in image filtering. In this paper, an optical strip centerline compensation method based on a Gaussian filter is proposed. Firstly, the image Gaussian filter is qualitatively analyzed from the analytical and graphic directions, and then the approximate linear relationship between the offset of the optical strip centerline and the standard deviation of the filter as well as the shape of the optical strip is determined by numerical simulation. Through simulation and experiment, it is proved that the linear image filter compensation method can effectively compensate the offset of the center line of the optical strip by Gaussian filter, reduce the error of the optical strip center extraction, and improve the repeatability and accuracy of the measurement results.

Original languageEnglish
Title of host publicationConference on Spectral Technology and Applications, CSTA 2024
EditorsZhe Wang, Hongbin Ding
PublisherSPIE
ISBN (Electronic)9781510683082
DOIs
StatePublished - 2024
Event2024 Conference on Spectral Technology and Applications, CSTA 2024 - Dalian, China
Duration: 9 May 202411 May 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13283
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2024 Conference on Spectral Technology and Applications, CSTA 2024
Country/TerritoryChina
CityDalian
Period9/05/2411/05/24

Keywords

  • Compensation method
  • Gaussian filter
  • Image process
  • Light stripe extraction

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