• DocumentCode
    3544645
  • Title

    Concentric circular sampling for texture analysis

  • Author

    Arof, Hamzah ; Deravi, Farzin

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Wales, Swansea, UK
  • Volume
    3
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    190
  • Abstract
    This paper introduces new texture descriptors that perform well for rotated and unrotated texture images without the need to be trained with rotated samples. The algorithm uses a circular sampling of the image to produce rotation invariant features. By combining features derived from multiple concentric circles a higher performance in texture classification is achieved
  • Keywords
    image classification; image sampling; image texture; concentric circular sampling; image texture analysis; multiple concentric circles; rotated texture images; rotation invariant features; texture classification; texture descriptors; unrotated texture images; Algorithm design and analysis; Gabor filters; Image sampling; Image texture analysis; Lattices; Pixel; Sampling methods; Testing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.632050
  • Filename
    632050
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3544645