• DocumentCode
    1502727
  • Title

    Texture classification using invariant features of local textures

  • Author

    Janney, Pranam ; Geers, Glenn

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • Volume
    4
  • Issue
    3
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    158
  • Lastpage
    171
  • Abstract
    In this paper, the authors present a texture descriptor algorithm called invariant features of local textures (IFLT). IFLT generates scale, rotation and (essentially) illumination invariant descriptors from a small neighbourhood of pixels around a centre pixel or a texture patch. Texture classification experiments were carried out on the Brodatz, Outex and KTH-TIPS2 databases. Demonstrated texture classification accuracy exceeds the previously published state of the art at a significantly lower computational cost. Experiments also suggests that IFLT descriptors are in a sense intuitive texture descriptors.
  • Keywords
    feature extraction; image classification; image resolution; image texture; KTH-TIPS2 databases; illumination invariant descriptors; invariant features of local textures; texture classification; texture descriptor algorithm; texture patch;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr.2008.0229
  • Filename
    5471811