• DocumentCode
    2524637
  • Title

    Improving the automatic measurement of plant root growth

  • Author

    Blanchfield, P. ; Chen, X.L.

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
  • fYear
    2010
  • fDate
    26-28 April 2010
  • Firstpage
    363
  • Lastpage
    367
  • Abstract
    The measurement of plant root growth is important in gauging the effect of experimental changes (nutrients, illumination, orientation, etc) made to plants. The most commonly used software is a combination of the common optical flow measurement method of Horn and Shunk with a ruggedized backward forward block matching method. The best results for this method show a low reliability for the optic flow measurement (less than 5%) and mostly rely on the ruggedized backwards forwards block matching. The current paper demonstrates that by correct tuning of the aperture a scale space based optical flow measurement can produce a higher reliability than the former tensor method. In addition, when the output of the scale space optical flow measurements are used to constrain the search space of the block matching method a still higher reliability is achievable. Systematic errors introduced by the forward backward matching with a non-optimally constrained search space are also eliminated.
  • Keywords
    image matching; image sequences; search problems; automatic measurement; backward forward block matching method; constrained search space; optical flow measurement method; plant root growth; Biomedical optical imaging; Charge-coupled image sensors; Computer science; Fluid flow measurement; Image motion analysis; Lighting; Microscopy; Plants (biology); Software measurement; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
  • Conference_Location
    Valletta
  • Print_ISBN
    978-1-4244-5793-9
  • Type

    conf

  • DOI
    10.1109/MELCON.2010.5476261
  • Filename
    5476261