• DocumentCode
    3731380
  • Title

    Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm

  • Author

    Carely Guada; G?mez; Rodr?guez; Y??ez;Javier Montero

  • Author_Institution
    Fac. de Cienc. Mat., Complutense Univ., Madrid, Spain
  • fYear
    2015
  • Firstpage
    12
  • Lastpage
    17
  • Abstract
    In this paper, we present a method to obtain a Fuzzy Image Segmentation from the hierarchical clustering algorithm Divide and Link. The Divide and Link algorithm consists on treating a digital image as a graph, then building spanning forest through a Kruskal scheme to successively sort the edges while partitions are obtained. This process is driven until all the pixels of the image are segmented, that is, there are as many regions as pixels.
  • Keywords
    "Image segmentation","Image edge detection","Clustering algorithms","Partitioning algorithms","Digital images","Gray-scale","Image color analysis"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/ISKE.2015.89
  • Filename
    7383017