• DocumentCode
    511277
  • Title

    Study on Fractal Images Construction with Topology Invariance IFS Attractor

  • Author

    Fu, Chong ; Chen, Ying

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    Fractal is the theory of studying the geometry and rules behind the nonlinear complex systems with self-similarity structure that widely exists in the nature and IFS is the key technology for constructing fractal images. This paper studies various computer construction algorithms for generating fractal images based on IFS attractor and their application range and limitation are analyzed. The deterministic algorithm, IFS (Iterated Function System) with Probability algorithm, string substitution algorithm, escape time algorithm and inverse function iteration algorithm are compared and discussed in detail, and the basic rules of constructing fractal images are concluded. The iteration arguments, expression and the fractal images that implemented by Java are also given.
  • Keywords
    Java; computational geometry; fractals; image processing; iterative methods; probability; topology; IFS attractor; Java language; escape time algorithm; fractal images construction; geometry; inverse function iteration algorithm; iterated function system; nonlinear complex systems; probability algorithm; self-similarity structure; string substitution algorithm; topology invariance; Application software; Computer applications; Engineering management; Extraterrestrial measurements; Fractals; Geometry; Information science; Java; Technology management; Topology; IFS attractor; affine function; fixed point; fractal image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.77
  • Filename
    5385077