• DocumentCode
    2607997
  • Title

    Fractal probability functions-an application to image analysis

  • Author

    Vehel, Jacques Levy

  • Author_Institution
    INRIA, Le Chesnay, France
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    378
  • Lastpage
    383
  • Abstract
    The extension of the iterated function system (IFS) theory dealing with probability functions instead of numbers is applied to texture analysis. The results allow encoding and reconstruction of textured images, and hence the compression of data to tackle the problem of texture segmentation in a rigorous manner
  • Keywords
    data compression; encoding; fractals; pattern recognition; picture processing; probability; data compression; encoding; fractal probability functions; image analysis; iterated function system; reconstruction; texture analysis; texture segmentation; Eigenvalues and eigenfunctions; Fractals; Geometry; Image analysis; Image coding; Image reconstruction; Image segmentation; Image texture analysis; Inverse problems; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139719
  • Filename
    139719
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2607997