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    ARTICLE

    Contactless Rail Profile Measurement and Rail Fault Diagnosis Approach Using Featured Pixel Counting

    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 >

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