• DocumentCode
    3629541
  • Title

    Evaluation of fuzzy clustering methods for segmentation of environmental images

  • Author

    Barbara Barisic;Mirjana Bonkovic;Vladan Papic

  • Author_Institution
    University of Split, University centre for professional studies, Livanjska 5, Croatia
  • fYear
    2008
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    The article compares three methods for segmentation of environmental images. Hue and saturation values of the image pixels were used as the input values for the clustering. The methods that have been examined are K-medoid, fuzzy Cmeans and Gustafson-Kessel. Results of the fuzzy clustering methods were compared with the results obtained with method using the mean-shift algorithm.
  • Keywords
    "Clustering methods","Image segmentation","Application software","Pixel","Image color analysis","Object detection","Computer vision","Image processing","Clustering algorithms","Image recognition"
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
  • Print_ISBN
    978-953-6114-97-9
  • Type

    conf

  • DOI
    10.1109/SOFTCOM.2008.4669496
  • Filename
    4669496
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629541