• DocumentCode
    2804516
  • Title

    A Texture Images Segmentation Method Based on ICA Filters

  • Author

    Duan, Lijuan ; Ma, Jicai ; Miao, Jun ; Qiao, Yuanhua

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    484
  • Lastpage
    487
  • Abstract
    In this paper we present a feature extraction approach by using ICA filters bank, which consists of the ICA basis images learned from the training images. On the basis of its ability to capture the inherent properties of textured image, we use the ICA filters bank as template model to extract the texture feature for segmentation. Experiments based on clustering and classifications are demonstrated to show the feasibility of this method.
  • Keywords
    feature extraction; filtering theory; image segmentation; image texture; independent component analysis; ICA filters bank; feature extraction approach; texture image segmentation method; Computer science; Educational institutions; Feature extraction; Filter bank; Gabor filters; Image segmentation; Independent component analysis; Information filtering; Information filters; Vectors; ICA; filtering; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.400
  • Filename
    5362635
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2804516