DocumentCode
714497
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
fYear
2015
fDate
16-19 May 2015
Firstpage
1244
Lastpage
1247
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130063
Filename
7130063
Link To Document