Detection of railway track from image by heuristic method

dc.authorscopusid24450062700
dc.contributor.authorBettemir O.H.
dc.date.accessioned2024-08-04T20:04:01Z
dc.date.available2024-08-04T20:04:01Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- 113052en_US
dc.description.abstractDefects 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. © 2015 IEEE.en_US
dc.identifier.doi10.1109/SIU.2015.7130095
dc.identifier.endpage1369en_US
dc.identifier.isbn9781467373869
dc.identifier.scopus2-s2.0-84939204581en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1366en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2015.7130095
dc.identifier.urihttps://hdl.handle.net/11616/92284
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectedge detectionen_US
dc.subjectheuristic algorithmen_US
dc.subjectimage analysisen_US
dc.titleDetection of railway track from image by heuristic methoden_US
dc.title.alternativeDemiryolunun Sezgisel Yöntemle Görüntüden Tespitien_US
dc.typeConference Objecten_US

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