Application of vibration compensation based on image processing in track displacement monitoring

Abstract: The track state detection is of great significance to timely understand the operation state of track and find track defects and prevent operation accidents. This article initially analyzes the key technologies of track detection system and then proposes an image detection technology and image processing method for analyzing track detection at home and abroad, thus putting forward the scheme of track detection using image processing. The characteristics of onsite track images are analyzed, and a track state detection system based on track image preprocessing, image position correction, image defect comparison, and track section size measurement is designed in this article. Further in this article, a study of image linear transformation, noise filtering, defect recognition, and edge detection in track image processing is applied. Furthermore, a robust piecewise linear transformation is designed using the combination of image threshold transformation and image gray transformation. It reduces the loss of detailed information in the process of image processing. The center point of track bright band is determined by the image region segmentation method, which effectively reduces the error of image track measurement and improves the measurement accuracy.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Application of vibration compensation based on image processing in track displacement monitoring ; volume:14 ; number:1 ; year:2023 ; extent:9
Paladyn ; 14, Heft 1 (2023) (gesamt 9)

Urheber
Yu, Ping
Wang, Honglin

DOI
10.1515/pjbr-2022-0090
URN
urn:nbn:de:101:1-2023042514240174472044
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:54 MESZ

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Beteiligte

  • Yu, Ping
  • Wang, Honglin

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