A machine vision system for inspection of railway track
Автор: Vasin Nikolay Nikolaevich, Diyazitdinov Rinat Radmirovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Распознавание образов и анализ данных
Статья в выпуске: 3 т.40, 2016 года.
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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.
Machine vision, image processing, video-camera, railway infrastructure, gauge mark
Короткий адрес: https://sciup.org/14059479
IDR: 14059479 | DOI: 10.18287/2412-6179-2016-40-3-410-415