• DocumentCode
    457175
  • Title

    Visually Significant Dynamics for Watershed Segmentation

  • Author

    Climent, Joan ; Sanfeliu, Alberto

  • Author_Institution
    Dept. of Comput. Eng. & Autom. Control, Tech. Univ. of Catalonia
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    The watershed transform is a powerful tool for segmentation once we can deal with oversegmentation. To solve the oversegmentation problem, hierarchical approaches are considered in order to retain the most significant regions of the image at different scales. The dynamics of the regional minima have been used to build this hierarchy. In this paper we present a new measure for computing the dynamics of the minima based on human perception of shapes. The described technique solves the major drawbacks of the hierarchical segmentations based on contrast dynamics or volume dynamics
  • Keywords
    image segmentation; contrast dynamics; hierarchical segmentations; volume dynamics; watershed segmentation; watershed transform; Area measurement; Automatic control; Computer vision; Humans; Image segmentation; Object recognition; Shape measurement; Topology; Visual perception; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.1182
  • Filename
    1699216