An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection
An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection作者机构：Department of Computer Science University of York Heslington York UK National Engineering Research Center of Rail Transportation Operation and Control Systems Beijing Jiaotong University Beijing China Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2015年第3卷第11期
页 面：19-24页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Fault Detection Rail Thermal Image Canny Edge Detection Linear Least Squares
摘 要：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.
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