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T. Hayakawa. Vegeta-tion control through selective elimination of large-size weeds on embankments using growth retardant. Quarterly Report of RTRI (Railway Technical Research Institute), Vol. 48:240–243, 2007.

has been cited by the following article:

• TITLE: Detecting Plants on Railway Embankments

  AUTHORS: Roger G. Nyberg, Narendra Gupta, Siril Yella, Mark Dougherty

  KEYWORDS: Railway Engineering; Railway Embankments; Condition Monitoring; Image Processing; Color Segmentation; Railway Maintenance; Vegetation Detection

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.3B, April 10, 2013

  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.