• DocumentCode
    2516244
  • Title

    Leaf Vein and Contour Extraction from Point Cloud Data

  • Author

    Sun, Zhihui ; Lu, Shenglian ; Guo, Xinyu ; Tian, Yuan

  • Author_Institution
    Beijing Res. Center for Inf. Technol. in Agric., Beijing, China
  • fYear
    2011
  • fDate
    4-5 Nov. 2011
  • Firstpage
    11
  • Lastpage
    16
  • Abstract
    Venation and contour of plant leaves are significant for many agronomic applications, such as the identification of plant species, the exploration of genetic relationship among plants and the 3D shape reconstruction of leaves. This paper presents a method for extracting leaf vein and contour from point cloud data. Firstly, leaf veins were extracted by using the curvature information of the point cloud, then the mesh model of plant leaf was constructed and the leaf contour was also extracted using mesh algorithm. The final leaf vein and contour can be obtained after a process combined fitting and repairing to the above extracted leaf veins and edges. The experimental results demonstrate that this method could extract the leaf veins and contour from laser scanned point cloud data.
  • Keywords
    feature extraction; image reconstruction; shape recognition; 3D shape reconstruction; agronomic applications; contour extraction; curvature information; genetic relationship; leaf vein; leaf vein extraction; mesh algorithm; plant leaves; plant species; point cloud data; Data mining; Data models; Feature extraction; Fitting; Laser modes; Mathematical model; Veins; Contour lines; Leaf vein; Least square linear fitting; Point cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2156-4
  • Type

    conf

  • DOI
    10.1109/ICVRV.2011.40
  • Filename
    6092685