Loading [a11y]/accessibility-menu.js
Detection of rail faults using morphological feature extraction based image processing | IEEE Conference Publication | IEEE Xplore

Detection of rail faults using morphological feature extraction based image processing


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...Show More

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.
Date of Conference: 16-19 May 2015
Date Added to IEEE Xplore: 22 June 2015
Electronic ISBN:978-1-4673-7386-9
Print ISSN: 2165-0608
Conference Location: Malatya, Turkey

Contact IEEE to Subscribe

References

References is not available for this document.