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Detecting Plants on Railway Embankments
Dalarna University, School of Technology and Business Studies, Computer Engineering. Edinburgh Napier University, Scotland, UK.ORCID iD: 0000-0003-4812-4988
Edinburgh Napier University, Scotland, UK.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2013 (English)In: Journal of Software Engineering and Applications, ISSN 1945-3116, E-ISSN 1945-3124, Vol. 6, no 3B, 8-12 p.Article in journal (Refereed) Published
Abstract [en]

This paper investigates problems concerning vegetation along railways and proposes automatic means of detecting ground vegetation. Digital images of railway embankments have been acquired and used for the purpose. The current work mainly proposes two algorithms to be able to achieve automation. Initially a vegetation detection algorithm has been investigated for the purpose of detecting vegetation. Further a rail detection algorithm that is capable of identifying the rails and eventually the valid sampling area has been investigated. Results achieved in the current work report satisfactory (qualitative) detection rates.

Place, publisher, year, edition, pages
2013. Vol. 6, no 3B, 8-12 p.
Keyword [en]
Railway Engineering; Railway Embankments; Condition Monitoring; Image Processing; Colour Segmentation; Railway Maintenance; Vegetation Detection
National Category
Engineering and Technology
Research subject
Complex Systems – Microdata Analysis, Automatisk detektering och karakterisering av vegetation längs järnvägen
Identifiers
URN: urn:nbn:se:du-12209DOI: 10.4236/jsea.2013.63B003OAI: oai:DiVA.org:du-12209DiVA: diva2:620669
Projects
Automatisk detektering och karakterisering av vegetation längs järnvägen
Note

Open Access

Available from: 2013-05-09 Created: 2013-05-09 Last updated: 2016-06-03Bibliographically approved

Open Access in DiVA

fulltext(279 kB)121 downloads
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File name FULLTEXT01.pdfFile size 279 kBChecksum SHA-512
0630b2902e541235e7db752d43b2f0ca6d758082deb69824105e968ab48e570ec7e953165dff668bc1d4853b3d1c5412d279c260b987379ea40eb00225bf1c82
Type fulltextMimetype application/pdf

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Publisher's full texthttp://www.scirp.org/journal/PaperInformation.aspx?PaperID=29642

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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