• DocumentCode
    1692561
  • Title

    Advances in color image segmentation

  • Author

    Lucchese, L. ; Mitra, S.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    2038
  • Abstract
    Segmentation is the low-level operation in image processing which partitions an image into disjoint and homogeneous regions. We consider segmentation of color images, a task which plays a very important role in many multimedia applications concerned with color information. In particular, we review the main contributions in this field in the past few years
  • Keywords
    feature extraction; image classification; image colour analysis; image segmentation; multimedia communication; algorithms; analogous classification schemes; color image segmentation; color information; disjoint regions; feature-space based techniques; homogeneous regions; image domain-based techniques; image processing; low-level operation; multimedia applications; physics-based techniques; Clouds; Clustering algorithms; Color; Colored noise; Image segmentation; Partitioning algorithms; Pixel; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1999. GLOBECOM '99
  • Conference_Location
    Rio de Janeireo
  • Print_ISBN
    0-7803-5796-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1999.827563
  • Filename
    827563