• DocumentCode
    2288367
  • Title

    A class of fractional random fields for image texture modelling

  • Author

    Anh, Vo ; Gras, Fabrice ; Tsui, Hung Tat

  • Author_Institution
    Sch. of Math., Queensland Univ. of Technol., Brisbane, Qld., Australia
  • fYear
    1994
  • fDate
    13-16 Apr 1994
  • Firstpage
    300
  • Abstract
    Instead of fractional Brownian motion, the authors consider the stochastic operational Laplace equation to model fractal characteristics of image data. Some properties, including the fractal dimension, of the random field generated from the Laplace equation are given. The spectral density of the random field is characterised by two parameters: a scaling exponent and a self-similarity index. A method is described to estimate these two parameters, which can be used to quantify and classify texture data
  • Keywords
    fractals; image texture; parameter estimation; random processes; stochastic processes; Laplace equation; fractal dimension; fractional random fields; image texture modelling; random field; scaling exponent; self-similarity index; spectral density; stochastic operational Laplace equation; Brownian motion; Fractals; Image texture; Laplace equations; Mathematical model; Mathematics; Parameter estimation; Rough surfaces; Surface roughness; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
  • Print_ISBN
    0-7803-1865-X
  • Type

    conf

  • DOI
    10.1109/SIPNN.1994.344907
  • Filename
    344907
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2288367