Improved Sobel algorithm for defect detection of rail surfaces with enhanced efficiency and accuracy

Author:

Shi Tian,Kong Jian-yi,Wang Xing-dong,Liu Zhao,Zheng Guo

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Reference24 articles.

1. ZHENG Ran, LIU Ze, LU Ying-fei, ZHU Li-xiong, SUN Xiu-fang. Multi-frequency least squares demodulation method in electromagnetic rail inspection [C]//IEEE International Conference on Imaging Systems and Techniques. New York: IEEE Press, 2013, 363–365.

2. MUNOZ J M C, MARQUEZ F P G, PAPAELIAS M. Railroad inspection based on ACFM employing a non-uniform B-spline approach [J]. Mechanical Systems and Signal Processing, 2013, 40(2): 605–617.

3. MI Zeng-zhen, XIE Zhi-jiang. Theoretical and experimental research on the defects of hot rolled heavy rail [J]. Metalurgia International, 2012, 17(9): 221–225.

4. KHODAYARI-ROSTAMABAD A, REILLY J P, NIKOLOVA N K, HARE J R, PASHA S. Machine learning techniques for the analysis of magnetic flux leakage images in pipeline inspection [J]. IEEE Transaction on Magnetic, 2009, 45(8): 3073–3084.

5. LEI Hua-ming, TIAN Gui-yun. Broken wire detection in coated steel belts using the magnetic flux leakage method [J]. Insight, 2013, 55(3): 126–131.

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