MISC

査読有り
2013年

Image processing for ridge/furrow discrimination for autonomous agricultural vehicles navigation

IFAC Proceedings Volumes (IFAC-PapersOnline)
  • Akane Takagaki
  • ,
  • Ryohei Masuda
  • ,
  • Michihisa Iida
  • ,
  • Masahiko Suguri

4
1
開始ページ
47
終了ページ
51
記述言語
英語
掲載種別
研究発表ペーパー・要旨(国際会議)
DOI
10.3182/20130828-2-SF-3019.00045

Autonomous navigation is important to robotize agricultural vehicles. This paper discusses a development of an image processing method to discriminate between traversable region (furrow) and non-traversable region (ridge) in ridged fields with no crops. Our method consists of 3 parts. First, images were separated into images with shade and images with no shade by gray level histograms. Next, as for images with shade, colour information was used to discriminate between traversable region and non-traversable region. On the other hand, as for images with no shade, texture was focused on. In this research, variance was used as a texture description. The proposed method was tested on images acquired by a camera, taken of different fields and under different light conditions. Our method discriminated between traversable region and non-traversable region successfully. Copyright © 2013 IFAC.

リンク情報
DOI
https://doi.org/10.3182/20130828-2-SF-3019.00045
ID情報
  • DOI : 10.3182/20130828-2-SF-3019.00045
  • ISSN : 1474-6670
  • SCOPUS ID : 84885636515

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