• DocumentCode
    2586920
  • Title

    About lacunarity, some links between fractal and integral geometry, and an application to texture segmentation

  • Author

    Vehel, Jacques Levy

  • Author_Institution
    INRIA, Le Chesnay, France
  • fYear
    1990
  • fDate
    4-7 Dec 1990
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    Two techniques are applied for segmentation of different states of one texture (e.g. deformations of a homogeneous texture): fractal geometry, which deals with the analysis of complex irregular shapes which cannot be described by the classical Euclidean geometry, and integral geometry, which treats sets globally and makes it possible to introduce robust measures. The author focuses on the study of two parameters, lacunarity and Favard length, and proves a theoretical link between them. As an application, the author achieves with an excellent accuracy automatic classification of lung diseases on SPECT images. Classical techniques tried on those images given poor results
  • Keywords
    computer vision; computerised picture processing; fractals; medical diagnostic computing; Favard length; SPECT images; automatic classification; classical Euclidean geometry; complex irregular shapes; deformations; fractal geometry; homogeneous texture; integral geometry; lacunarity; lung diseases; texture segmentation; Chaos; Diseases; Fractals; Geometry; Image texture analysis; Lungs; Markov random fields; Radiography; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1990. Proceedings, Third International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-8186-2057-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1990.139556
  • Filename
    139556