Abstract
This paper presents a design of a detection method of pantograph slide’s abrasion. First, cascade filter with dynamic intensity is adopted to filter original images. The local contrast enhancement algorithm based on local standard deviation is used to enhance the target area. Next, the adaptive threshold Canny edge detection algorithm is then performed on the preprocessed images to extract the edge of slides. The slide edges are located by Hough transform, and the actual slide residual thickness can be calculated by the camera calibration method.
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Hao X, Wang S (2013) Optimization modeling and simulation of power supply network for urban rail transit. Comput Simul 30(10):194–198 (in Chinese)
Shi S (2016) Study on measures to reduce wear of overhead rigid suspension contact net. Eng Engl (10):00166 (in Chinese)
Cui Z (2005) Pantograph skateboard external state image detection. Southwest Jiaotong University (in Chinese)
Xie L (2009) Research on pantograph state detection technology based on image processing. Southwest Jiaotong University (in Chinese)
Sun F, Wang B (2011) Ultrasonic testing method for wear of double slide plate. Develop Innov Electromechanical Prod 24(3):129–131 (in Chinese)
Sun F (2011) Design and debugging of wear test system for pantograph slide. Southwest Jiaotong University (in Chinese)
Yue A, Zhao Z, Wang C (2003) Pontoon automatic detection method based on active shape model. Chinese Soc Vis Image Anal (in Chinese)
Canny JF (1987) A computational approach to edge detection. In: Readings in computer vision: issues, problems, principles, and paradigms. Morgan Kaufmann Publishers Inc
Acknowledgements
This work was supported by the National Key Research and Development Plan (No.2017YFB1201201). The author gratefully acknowledges the anonymous reviewers for their careful work and thoughtful suggestions that have helped improve this paper substantially.
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Yu, S., Chen, S., Xing, Z. (2018). A Method of Detecting Pantograph Slide’s Abrasion Based on Image Processing. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_6
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DOI: https://doi.org/10.1007/978-981-10-7989-4_6
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