A Rail Abrasion Detection System Based on Image Processing

Author:

Shen Ji Jun1,Liu Zheng Jun1,Wu Tong1,Lv Meng1

Affiliation:

1. Dalian Jiaotong University

Abstract

Quality of steel rail affects directly the running state of locomotive. According to detection problem of rail head’s abrasion loss, a feasibility study was done that collecting image through CCD camera. Computing models of abrasion detection were established by MATLAB soft. The key question about image location was studied using the method of edge detection and image filling. Results indicate that the image detection system could obtain the abrasion loss accurately in non-contact condition. This method could provide a reference for the development of loss prevention and new detection technology.

Publisher

Trans Tech Publications, Ltd.

Reference8 articles.

1. W.R. Jin, X.Q. Zhan and B.H. Jiang: The Chinese Institute of Electronics (CIE). Vol. 4 (2006).

2. C. Robin, in: Rail flaw detection: NDT and E International. Vol. 2 (2003).

3. Y. Zhao, Z.Q. Jia and R. Guo: Applied Mechanics and Materials. Vol. 218 (2013), p.422.

4. Y. Rubinsztejn, in: Automatic detection of objects of interest from rail track images. Manchester: Manchester University. Schoolof Computer Science, (2011).

5. Mark S. Nixon and Alberto S. Aguado: Feature Extraction and Image Processing (Second Edition). Publishing House of Electronics Industry. October (2010).

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