Detection of the Rail Profile Wear Based on Image Processing
- Resource Type
- Conference
- Authors
- Li, Jie; Ma, Bowen; Dong, Huajun
- Source
- 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) Power, Intelligent Computing and Systems (ICPICS), 2020 IEEE International Conference on. :582-585 Jul, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Rails
Image edge detection
Ultrasonic variables measurement
Gray-scale
Wheels
Current measurement
abrasion
image processing
edge detection
location
- Language
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.