• DocumentCode
    1585418
  • Title

    Unsupervised texture segmentation using grey levels rank-vectors

  • Author

    Asselin de Beauville, D.B.J.P. ; Mraghni, M.-C.

  • Author_Institution
    Ecole Nat. Superieure d´Ingenieurs de Genie Chimique, Toulouse
  • Volume
    2
  • fYear
    1996
  • Firstpage
    1273
  • Abstract
    Presents an unsupervised texture segmentation algorithm. This algorithm uses the grey level rank-vectors (GLRV) to extract the texture features, and the unsupervised generalized minimum volume ellipsoid (GMVE) clustering algorithm to cluster the texture features into different classes without a priori information about the number of textures. The accuracy for real textured images is over 82%
  • Keywords
    feature extraction; image segmentation; image texture; GLRV; GMVE clustering algorithm; algorithm; grey level rank-vectors; real textured images; texture feature; unsupervised generalized minimum volume ellipsoid clustering algorithm; unsupervised texture segmentation; Bismuth; Classification algorithms; Clustering algorithms; Gaussian processes; Humans; Image processing; Machine vision; Robustness; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.566526
  • Filename
    566526
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1585418