• DocumentCode
    1359570
  • Title

    Segmentation approach using local image statistics

  • Author

    Mendonca, A.P. ; da Silva, E.A.B.

  • Author_Institution
    IME/COPPE, CEP, Rio de Janeiro, Brazil
  • Volume
    36
  • Issue
    14
  • fYear
    2000
  • fDate
    7/6/2000 12:00:00 AM
  • Firstpage
    1199
  • Lastpage
    1201
  • Abstract
    An efficient segmentation technique is described that uses local application of the K-means method with feature vectors based on image statistics. It requires little computational effort and works well for different classes of images, comparing favourably to others in the literature
  • Keywords
    computer vision; data compression; image coding; image segmentation; statistical analysis; K-means method; computational effort; computer vision; feature vectors; image compression; image segmentation approach; image statistics; local image statistics;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20000869
  • Filename
    852239
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1359570