• DocumentCode
    379851
  • Title

    Unsupervised image segmentation using the modified pyramidal linking approach

  • Author

    Ziliani, Franceso ; Jensen, Björn

  • Author_Institution
    Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    303
  • Abstract
    As image segmentation is one of the first steps in image processing, little knowledge about the image content is available. The modified pyramidal linking approach presented here is intended as a low-level process for segmentation without any a priori information or user-defined thresholds. The process works with multiple features which are weighted according to their information content. The number of extracted regions is automatically determined by the process itself
  • Keywords
    feature extraction; image segmentation; image sequences; unsupervised learning; extracted regions; image content; image processing; information content; low-level process; modified pyramidal linking approach; multiple features; unsupervised image segmentation; Data mining; Image processing; Image segmentation; Joining processes; Laboratories; Layout; Merging; Pixel; Signal processing; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.999020
  • Filename
    999020