• DocumentCode
    3159054
  • Title

    Dilation fractal dimension for Laplacian multifractals

  • Author

    Kinsner, W. ; Stacey, G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • fYear
    1994
  • fDate
    25-28 Sep 1994
  • Firstpage
    401
  • Abstract
    Calculation of the fractal dimension of images and other objects is often faced with difficulty because of the diversity of the at least 20 definitions for the dimension [1]. The simplest and most widely used box counting dimension produces results with an accuracy of 1 to 2%, as measured on fractals generated by the Lindenmayer (L)-systems whose theoretical similarity dimensions are known. This paper presents a technique to compute the dilation dimension based, upon the scaling and power laws of fractals. The algorithm is only slightly more complex than the simple box counting algorithm but yields typical accuracies of better than 0.3%. The technique has been tested on 2-dimensional images with the results shown
  • Keywords
    fractals; image representation; 2-dimensional images; Laplacian multifractals; Lindenmayer systems; accuracy; box counting algorithm; box counting dimension; dilation fractal dimension; image representation; power laws; scaling; Fractals; Image representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1994.405773
  • Filename
    405773