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Detecting Plants on Railway Embankments
Edinburgh Napier University, School of Engineering and the Built Environment, Edinburgh, UK
Edinburgh Napier University, School of Engineering and the Built Environment, Edinburgh, UK
Dalarna University, Department of Computer Engineering, Borlange, Sweden
Dalarna University, Department of Computer Engineering, Borlange, Sweden
- 1 Edinburgh Napier University, School of Engineering and the Built Environment, Edinburgh, UK
- 2 Edinburgh Napier University, School of Engineering and the Built Environment, Edinburgh, UK
- 3 Dalarna University, Department of Computer Engineering, Borlange, Sweden
- 4 Dalarna University, Department of Computer Engineering, Borlange, Sweden
Journal of Software Engineering and Applications·Volume 06 (2013)·Pages 8–12·Published 30 March 2013·DOI10.4236/jsea.2013.63B003
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Abstract
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.
KeywordsRailway EngineeringRailway EmbankmentsCondition MonitoringImage ProcessingColor SegmentationRailway MaintenanceVegetation Detection
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