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Computer Optics, 2018, Volume 42, Issue 6, Pages 1054–1061
DOI: https://doi.org/10.18287/2412-6179-2018-42-6-1054-1061
(Mi co591)
 

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

IMAGE PROCESSING, PATTERN RECOGNITION

Processing of triangulation scanner data for measurements of rail profiles

N. N. Vasin, R. R. Diyazitdinov

Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
References:
Abstract: In this article, we describe algorithms for superposition of a profile of the rail under measurement and that of an unused rail. The algorithms calculate parameters of the superposition, which links the two profiles, with one of them being described by a set of points and the other - by line equations. The algorithms are intended for evaluating the rail wear based on the data from triangulation scanners, which are installed on a track measuring car.
Keywords: triangulation scanner, unused rail, measured rail, superposition, track measuring car, profile, iteration algorithm.
Received: 16.04.2018
Accepted: 14.11.2018
Document Type: Article
Language: Russian
Citation: N. N. Vasin, R. R. Diyazitdinov, “Processing of triangulation scanner data for measurements of rail profiles”, Computer Optics, 42:6 (2018), 1054–1061
Citation in format AMSBIB
\Bibitem{VasDiy18}
\by N.~N.~Vasin, R.~R.~Diyazitdinov
\paper Processing of triangulation scanner data for measurements of rail profiles
\jour Computer Optics
\yr 2018
\vol 42
\issue 6
\pages 1054--1061
\mathnet{http://mi.mathnet.ru/co591}
\crossref{https://doi.org/10.18287/2412-6179-2018-42-6-1054-1061}
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  • https://www.mathnet.ru/eng/co591
  • https://www.mathnet.ru/eng/co/v42/i6/p1054
  • 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
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