Clark, R. (2004) Rail Flaw Detection: Overview and Needs for Future Developments. NDTE International Independent Nondestructive Testing and Evaluation, 37, 111-118. http://dx.doi.org/10.1016/j.ndteint.2003.06.002

has been cited by the following article:

• TITLE: An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

  AUTHORS: Libo Cai, Yu Ma, Tangming Yuan, Haifeng Wang, Tianhua Xu

  KEYWORDS: Fault Detection, Rail Thermal Image, Canny Edge Detection, Linear Least Squares

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.11, November 19, 2015

  ABSTRACT: The paper discusses an application for rail track thermal image fault detection. In order to get better results from the Canny edge detection algorithm, the image needs to be processed in advance. The histogram equalization method is proposed to enhance the contrast of the image. Since a thermal image contains multiple parallel rail tracks, an algorithm has been developed to locate and separate the tracks that we are interested in. This is accomplished by applying the least squares linear fitting technique to represent the surface of a track. The performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.