Title :
Detection of rail faults using morphological feature extraction based image processing
Author :
Tastimur, Canan ; Akin, Erhan ; Karakose, Mehmet ; Aydin, Ilhan
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Firat Univ., Elazığ, Turkey
Abstract :
Determining the rail´s breakdown has a big importance in railway access. The breakdowns of rails bring about problems such as insecurity, delay of access, and expenditure. In this work, in order to determine the breakdowns of rails using Morphological feature extraction based image processing algorithm is offered. The rail is determined through applying the image processing methods and Hough transform to the received images of rail. Headcheck breakage, apletilik and undulation of defects are determined by proposed method. Faulty regions is determined through extracting features of regions in images by applying Morphological operations to detected rail images. In this work, all steps of the offered method is applied to the images of rail under different direction and lighting, and with maximum accuracy and minimum working time, the results are acquired.
Keywords :
Hough transforms; fault diagnosis; feature extraction; image processing; rails; railways; Hough transform; faulty regions; image processing; morphological feature extraction; rail faults; railway access; Electric breakdown; Feature extraction; Inspection; Laplace equations; Rail transportation; Rails; Edge Detection; Fault Detection; Hough Transform; Morphological Operations; Rail Systems;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130063