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.
Automatic Detection of Rail Defects from Images
Springer Ser Reliab Eng
Intelligent Quality Assessment of Railway Switches and Crossings ; Kapitel : 11 ; 187-205
2021-03-05
19 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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