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 of article: Russian language.

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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.

Citation:
Vasin NN, Diyazitdinov RR. A machine vision system for inspection of railway track. Computer Optics 2016; 40(3): 410-415. DOI: 10.18287/2412-6179-2016-40-3-410-415.

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