• DocumentCode
    2466160
  • Title

    Invariant texture segmentation via circular Gabor filters

  • Author

    Jainguo Zhang ; Tieniu Tan ; Li Ma

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • Volume
    2
  • fYear
    2002
  • fDate
    11-15 Aug. 2002
  • Firstpage
    901
  • Abstract
    In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.
  • Keywords
    filtering theory; image segmentation; image texture; Gabor parameter selection; channel output; circular Gabor filters; circular symmetric Gabor function; rotation invariant texture segmentation; Application software; Automation; Computer vision; Focusing; Frequency domain analysis; Gabor filters; Humans; Image segmentation; Image texture analysis; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • Conference_Location
    Quebec City, Quebec, Canada
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048450
  • Filename
    1048450