• DocumentCode
    3060214
  • Title

    Unsupervised image segmentation using the minimum description length principle

  • Author

    Sheinvald, Jacob ; Dom, Byron ; Niblack, Wayne ; Steele, David

  • Author_Institution
    IBM Res. Div., Almaden Res. Center, San Jose, CA, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    Considers the problem of unsupervised multiband image segmentation specifically, using the MDL criterion, an associated complexity measure. According to the MDL principle, the best estimates are those that result in the most compact encoding of the image. An important advantage of such an approach is that it is virtually free of the need to choose arbitrary thresholds, which are typical of many segmentation techniques, and which, in many cases, need to be interactively adjusted in order to get satisfactory results
  • Keywords
    image coding; image segmentation; MDL criterion; encoding; minimum description length principle; segmentation techniques; unsupervised multiband image segmentation; Gaussian distribution; Image coding; Image segmentation; Integrated circuit modeling; Jacobian matrices; Labeling; Layout; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201875
  • Filename
    201875