• DocumentCode
    3664027
  • Title

    The counting of mycorrhizal fungi spores using fuzzy mathematical morphology

  • Author

    Alexsandra O. Andrade;Roque M. P. Trindade;Vanessa B. F. Neves;Deise S. Maia;Divino Levi Miguel;Regivan H. N. Santiago;Ana Maria G. Guerrreiro

  • Author_Institution
    Department of Exact Science and Technology, UESB, 45083-900, Vitó
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The mathematical morphology presents a systematic model to extract geometrical characteristics of images using morphological operators, which transforms the original image into another, using a third image called structural element. The fuzzy mathematical morphology extends the morphological operators to grayscale and coloured images using the fuzzy logic, where the definition of the operators are defined using the concepts of implications and fuzzy conjunctions, specifically, the implications and conjunctions of Lukasiewicz. In this paper it was proposed a counting method of mycorrhizal fungi spores which are derived from mycorrhizas, a symbiotic association between a fungus and a plant, using fuzzy morphological operators. The counting of these spores was done manually using corrugated plate and the aid of a stereoscopic microscope.
  • Keywords
    "Morphology","Fungi","Lattices","Correlation","MATLAB","Matrix converters","Uncertainty"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
  • Type

    conf

  • DOI
    10.1109/NAFIPS-WConSC.2015.7284167
  • Filename
    7284167