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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
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
Citation:
N. N. Vasin, R. R. Diyazitdinov, “A machine vision system for inspection of railway track”, Computer Optics, 40:3 (2016), 410–415
Linking options:
https://www.mathnet.ru/eng/co158 https://www.mathnet.ru/eng/co/v40/i3/p410
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Abstract page: | 264 | Full-text PDF : | 94 | References: | 32 |
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