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Image registration for defects detection of high-speed train bogies

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

Abstract

Defects detection of high-speed train bogies by image processing has the advantages of non-contact, fast and high precision. Small defects can be identified and located quickly by comparing the current captured image with the previously saved defects-free image. Actually, the viewing angles and positions of images taken on the same location at different time are usually different. So image registration is needed before the image comparison. This paper proposes an image registration based on binocular stereo matching. The two images taken under different viewing angles or positions can be considered as a stereo image pair. The proposed method utilizes the results of image feature matching and the corresponding essential matrix to obtain the 3D coordinates of feature points. And the 3D coordinates of non-feature points can be estimated by those of adjacent feature points'. By this way, each single pixel on the current image can be re-projected into the normal image, and image registration is accomplished. Compared with the traditional methods, the result image of the proposed approach is more accurate.

Original languageEnglish
Title of host publicationOptical Sensing and Imaging Technologies and Applications
EditorsDong Liu, Jin Lu, HaiMei Gong, Mircea Guina
PublisherSPIE
ISBN (Electronic)9781510623347
DOIs
StatePublished - 2018
EventInternational Symposium on Optoelectronic Technology and Application 2018: Optical Sensing and Imaging Technologies and Applications 2018, OTA 2018 - Beijing, China
Duration: 22 May 201824 May 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10846
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Optoelectronic Technology and Application 2018: Optical Sensing and Imaging Technologies and Applications 2018, OTA 2018
Country/TerritoryChina
CityBeijing
Period22/05/1824/05/18

Keywords

  • Binocular stereo vision system
  • Defects detection
  • Image registration
  • Mechanical parts inspection

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