Gulsah Karaduman*, Mehmet Karakose, Ilhan Aydin, Erhan Akin
Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 455-463, 2020, DOI:10.32604/iasc.2020.013922
Abstract The use of railways has continually increased with high-speed trains. The
increased speed and usage wear on the rails poses a serious problem. In recent
years, to detect wear and cracks in the rails, image-based detection methods
have been developed. In this paper, wears on the surface of railheads are
detected by contactless image processing and image analysis techniques. The
shadow removal algorithm with a minimal entropy method is implemented onto
the noise-free images to eliminate the light variations that can occur on the rail.
The Hough transform is applied on the noise and shadow More >
Login
Register
