Automatic Detection of Rail Defects from Images

Emil Hovad (), Helena Hansen, André Filipe Silva Rodrigues () and Vedrana Andersen Dahl ()
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Emil Hovad: Technical University of Denmark
Helena Hansen: Technical University of Denmark
André Filipe Silva Rodrigues: Banedanmark
Vedrana Andersen Dahl: Technical University of Denmark

A chapter in Intelligent Quality Assessment of Railway Switches and Crossings, 2021, pp 187-205 from Springer

Abstract: Abstract In this study, images of the rails captured by a track recording car are investigated. The images are processed in order to asses and predict the rail quality by a simple method, which gives the possibility of fast and easy implementation. The first step of the method is detecting the rails from the images with an algorithm. The second step of the method is finding visually noticeable defects on the detected rail with automatized algorithms for defect detection. One of the algorithms for defect detection shows promising results and investigating the rail images could be a promising complementary method to the already used manual ultrasound measurements.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-62472-9_11

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DOI: 10.1007/978-3-030-62472-9_11

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