conference-paper

Detection of the Rail Profile Wear Based on Image Processing

  • 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)
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Abstract

For the rail head wear detection, the feasibility of collecting rail images by CCD camera is analyzed. MATLAB image processing technology is used to establish the calculation model of rail wear measurement. By using the methods of edge detection and image filling, the key problems of rail image positioning are studied. The results show that the rail abrasion image detection system can get the rail abrasion accurately in real time under the condition of non-contact. The method can calculate the rail wear more accurately and provide a reference for the loss prevention of the rail and the development of new detection technology.

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Publication details

DOI
10.1109/icpics50287.2020.9201956
OpenAlex
W3088338383
Document type
conference-paper
Language
EN
Source
2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)
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