• DocumentCode
    2855306
  • Title

    Tree Growth Simulation Method Based on Improved IFS Algorithm

  • Author

    Zhang Huaiqing ; Liu Min

  • Author_Institution
    Res. Inst. of Resource Inf. Tech., Chinese Acad. of Forestry (CAF), Beijing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With poplar as the research object, tree simulation algorithm and simulation method combined with tree growth were investigated. With iteration function system (IFS) algorithm to perform single-plant simulation, a modified IFS iterative algorithm was proposed. The new method overcomes the drawback in original IFS iteration algorithm, i.e., too much self-similarity, and makes grown trees more authentic. In the mean time, the IFS fractal simplification algorithm was proposed, with which the program running efficiency can be improved provided that tree conformation is not affected. This paper presents a fractal growth method with a growth model to control IFS, which combines the improved algorithm and the growth model. Combination of the conformation model and the growth model makes simulation of natural tree growth more vividly.
  • Keywords
    fractals; iterative methods; IFS algorithm; IFS fractal simplification algorithm; IFS iterative algorithm; fractal growth method; iteration function system algorithm; natural tree growth; single-plant simulation; tree conformation; tree growth simulation method; tree simulation algorithm; Forestry; Fractals; Iterative algorithms; Random variables; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365658
  • Filename
    5365658