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Detection of Railway Track from Image by Heuristic Method

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dc.contributor.author Bettemir, Önder Halis
dc.date.accessioned 2020-03-10T07:08:07Z
dc.date.available 2020-03-10T07:08:07Z
dc.date.issued 2015
dc.identifier.citation Bettemir, Ö. H. (2015). Detection of Railway Track from Image by Heuristic Method. İnönü Üniversitesi, Malatya. tr_TR
dc.identifier.isbn 978-1-4673-7386-9
dc.identifier.issn 2165-0608
dc.identifier.uri http://hdl.handle.net/11616/15350
dc.description Conference: 23nd Signal Processing and Communications Applications Conference (SIU) Location: Inonu Univ, Malatya, TURKEY Date: MAY 16-19, 2015 tr_TR
dc.description.abstract Defects on the railway track occur due to the abrasive effects of time and usage. As the magnitude of the defects increases, uncomfortable travel appears. If the defects progress further they may cause derailment of the train. Detection of the defects are performed by manual inspection of the track, which cause ignorance of some of the defects. In this study a heuristic algorithm, which detects railway track from the images acquired by unmanned vehicle, is developed. Rails and sleepers of the railway track is detected with high accuracy from the images acquired in nadir direction. Images are de-noised by Gauss filter and edges are detected by Prewitt Edge Detection algorithm. By considering the geometric properties of the railway track and the brightness values of the edges, the Heuristic algorithm decides on which edges belong to railway track. In this study, inspection of railways is proposed by the images acquired by unmanned aerial vehicles and the automated detection of railway elements are realized as the first step of the railway inspection. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject image analysis tr_TR
dc.subject heuristic algorithm tr_TR
dc.subject edge detection tr_TR
dc.title Detection of Railway Track from Image by Heuristic Method tr_TR
dc.title.alternative Demiryolunun Sezgisel Yontemle Gortinttiden Tespiti tr_TR
dc.type article tr_TR
dc.relation.journal 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) tr_TR
dc.contributor.department İnönü Üniversitesi tr_TR
dc.identifier.volume 0 tr_TR
dc.identifier.issue 0 tr_TR
dc.identifier.startpage 1366 tr_TR
dc.identifier.endpage 1369 tr_TR


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