Journal of Software Engineering and Applications

Volume 6, Issue 3 (March 2013)

ISSN Print: 1945-3116   ISSN Online: 1945-3124

Google-based Impact Factor: 1.22  Citations  h5-index & Ranking

Detecting Plants on Railway Embankments

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DOI: 10.4236/jsea.2013.63B003    3,403 Downloads   5,390 Views  Citations

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.

 

Share and Cite:

R. Nyberg, N. Gupta, S. Yella and M. Dougherty, "Detecting Plants on Railway Embankments," Journal of Software Engineering and Applications, Vol. 6 No. 3B, 2013, pp. 8-12. doi: 10.4236/jsea.2013.63B003.

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[3] Priority queue based polling mechanism on seismic equipment cluster monitoring
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[4] Automating condition monitoring of vegetation on railway trackbeds and embankments
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[5] Research on the Key Technology of Seismic Observation Equipment Clus-ter Monitoring
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[6] Reliability of Manual Assessments in Determining the Types of Vegetation on Railway Tracks
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[7] Research on the Key Technology of Seismic Observation Equipment Cluster Monitoring
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[8] Utveckling av metod f?r att bed?ma behovet av ogr?sbek?mpning i sp?r
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[9] Machine Vision for Condition Monitoring Vegetation on Railway Embankments
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[10] Utveckling av metod för att bedöma behovet av ogräsbekämpning i spår
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