• DocumentCode
    3019395
  • Title

    Invariant Features of Local Texturesa rotation invariant local texture descriptor

  • Author

    Janney, Pranam ; Yu, Zhenghua

  • Author_Institution
    Univ. of New South Wales, Sydney
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we present a new rotation-invariant texture descriptor algorithm called invariant features of local textures (IFLT). The proposed algorithm extracts rotation invariant features from a small neighbourhood of pixels around a centre pixel or a texture patch. Intensity vector which is derived from a texture patch is normalized and Haar wavelet filtered to derive rotation-invariant features. Texture classification experiments on the Brodatz album and Outex databases have shown that the proposed algorithm has a high rate of correct classification.
  • Keywords
    Haar transforms; feature extraction; filtering theory; image classification; image resolution; image texture; visual databases; wavelet transforms; Brodatz album; Haar wavelet filter; Outex databases; image pixels; image texture patch; invariant features of local textures; rotation invariant features extraction; rotation-invariant texture descriptor algorithm; texture classification experiments; Anisotropic magnetoresistance; Australia Council; Computer science; Feature extraction; Filtering; Gabor filters; Humans; Image texture analysis; Shape; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383367
  • Filename
    4270365