Book chapter
Automatic Detection of Rail Defects from Images
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Technical University of Denmark3
Banedanmark4
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
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.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2021 |
| Pages: | 187-205 |
| Series: | Springer Series in Reliability Engineering |
| ISBN: | 3030624714 , 3030624722 , 9783030624712 and 9783030624729 |
| ISSN: | 2196999x and 16147839 |
| Types: | Book chapter |
| DOI: | 10.1007/978-3-030-62472-9_11 |
| ORCIDs: | Hovad, Emil and Dahl, Vedrana Andersen |
