• DocumentCode
    280916
  • Title

    Accurate textural characterisation using fractal techniques

  • Author

    Allinson, N.M. ; Lawson, M.

  • Author_Institution
    Dept. of Electron., York Univ., UK
  • fYear
    1990
  • fDate
    33210
  • Firstpage
    42522
  • Lastpage
    42527
  • Abstract
    It has been demonstrated that the fractal dimension is not sufficient to completely categorise texture. However, fractal techniques do have advantages over statistical and structural methods, by providing a framework more suited to natural textures. Many natural textures show fractal-like properties of statistical, if not deterministic, self-similarity. Natural textures exhibit only a limited range of scale for self-similarity. If a fractal dimension is stable over a wide range of scale then it is reasonable to term the textural surface as fractal. A number of approaches are described, using 50 natural textures and sets of artificially generated fractal surfaces, in order to determine robust texture characterisation
  • Keywords
    computerised picture processing; fractals; artificially generated fractal surfaces; fractal dimension; fractal techniques; natural textures; textural characterisation; textural surface;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Application of Fractal Techniques in Image Processing, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    191388