Computer Optics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2016, Volume 40, Issue 3, Pages 410–415
DOI: https://doi.org/10.18287/2412-6179-2016-40-3-410-415
(Mi co158)
 

This article is cited in 3 scientific papers (total in 3 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A machine vision system for inspection of railway track

N. N. Vasin, R. R. Diyazitdinov

Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Full-text PDF (882 kB) Citations (3)
References:
Abstract: We propose a machine vision system for the inspection of the railway track condition. Key stages of an algorithm for detecting gauge marks that serve to identify mechanical stresses of a continuous welded rail track are described. In the final section of the article, we discuss some peculiarities found in real exploitation conditions: effects of the rail surface defects on the algorithm performance and false detection of railway infrastructure elements similar to gauge marks.
Keywords: machine vision, image processing, video-camera, railway infrastructure, gauge mark.
Received: 12.12.2015
Accepted: 10.06.2016
Document Type: Article
Language: Russian
Citation: N. N. Vasin, R. R. Diyazitdinov, “A machine vision system for inspection of railway track”, Computer Optics, 40:3 (2016), 410–415
Citation in format AMSBIB
\Bibitem{VasDiy16}
\by N.~N.~Vasin, R.~R.~Diyazitdinov
\paper A machine vision system for inspection of railway track
\jour Computer Optics
\yr 2016
\vol 40
\issue 3
\pages 410--415
\mathnet{http://mi.mathnet.ru/co158}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-3-410-415}
Linking options:
  • https://www.mathnet.ru/eng/co158
  • https://www.mathnet.ru/eng/co/v40/i3/p410
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
    Statistics & downloads:
    Abstract page:264
    Full-text PDF :94
    References:32
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024