• DocumentCode
    2118063
  • Title

    Timber Species Recognition Approach Based on Mathematic Simulation Theory

  • Author

    Lei, Zhao ; Yan, Ma

  • Author_Institution
    Northeast Forestry Univ., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    The wood cells properties determine the physical properties of the wood. This paper analyzes the digital characteristics of the wood cells. After some analysis, this paper puts forward the recognition approach of timber species on the basis of mathematical simulation theory and establishes a hexagon mathematics model for wood cells. Various parameters have been extracted and obtained, namely area, perimeter, category roundness, the width of the diameter and the thickness of the diameter and so on. The least space sort-implement is used to construct a distinguish function. Finally, the author discusses the reliability of the findings and results. This paper´s method features great stability and robustness.
  • Keywords
    biology computing; botany; feature extraction; mathematical analysis; pattern recognition; timber; hexagon mathematics model; least space sort implement; mathematic simulation theory; parameters extraction; timber species recognition approach; wood cells digital characteristics; wood cells properties; wood physical properties; Computational modeling; Image edge detection; Mathematical model; Pixel; Shape; category roundness; cell perimeter; pattern recognition; rings mathematic simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.50
  • Filename
    5573849