• DocumentCode
    3059465
  • Title

    Automatic image analysis of plant root structures

  • Author

    Huang, Qian ; Jain, Anil K. ; Stockman, George C. ; Smucker, Alvin J M

  • Author_Institution
    Michigan State Univ., East Lansing, MI, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    569
  • Lastpage
    572
  • Abstract
    The minirhizotron technique has provided agricultural scientists the opportunity of observing rhizosphere activities without destroying root structures. Nonetheless, the laborious analysis of the data still prohibits its wide applications. Advanced image understanding techniques are needed to derive satisfactory descriptions of plant root networks in an efficient and robust way. The paper presents a plant root image analysis system designed as a blackboard architecture with a hierarchy of data abstractions. Important properties of plant roots are used throughout the processing and multiple sources of information are combined to resolve uncertainties in image interpretation. Experimental results from some stages of the research are given which support the overall processing scheme
  • Keywords
    biology computing; blackboard architecture; image processing; blackboard architecture; data abstractions; image analysis; minirhizotron technique; plant root structures; Computer science; Crops; Data structures; Image analysis; Image edge detection; Image processing; Laboratories; Pattern recognition; Plants (biology); Soil;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201842
  • Filename
    201842