• DocumentCode
    1918131
  • Title

    Root Detection By Hierarchical Seed Expansion

  • Author

    Erz, Gregor ; Posch, Stefan

  • Author_Institution
    Inst. of Comput. Sci., Halle Univ.
  • Volume
    2
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    963
  • Lastpage
    966
  • Abstract
    Analysing plant root images is time consuming but very important for ecological, agronomic and biological studies. In this paper we focus on the second of two phases which expands a given part of a root to cover its whole projection in the image extending our fully automatic analysis approach. Employing a hierarchical A* algorithm allows to use a more sophisticated estimation of the occurring remaining costs thus speeding up search substantially. This approach also allows a finer tuning of the root model and eases the use of previous knowledge by providing an intelligent restriction of the search space
  • Keywords
    biology computing; botany; object detection; search problems; vegetation; hierarchical A* algorithm; hierarchical seed expansion; minirhizotron; plant root images; root detection; root model; search space; Active contours; Biological materials; Costs; Endoscopes; Image analysis; Image databases; Phase detection; Pixel; Plants (biology); Soil; A; minirhizotron; root detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1630107
  • Filename
    1630107