RUS  ENG
Full version
JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 6, Pages 1054–1061 (Mi co591)

This article is cited 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

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

DOI: 10.18287/2412-6179-2018-42-6-1054-1061



© Steklov Math. Inst. of RAS, 2024