• DocumentCode
    1875526
  • Title

    Shape matching using morphological structural shape components

  • Author

    Jianning Xu

  • Author_Institution
    Comput. Sci. Dept., Rowan Univ., Glassboro, NJ
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2596
  • Lastpage
    2599
  • Abstract
    A morphological shape decomposition algorithm was recently introduced that allows a shape to be represented as a collection of modestly overlapped disk components. In this paper, we present a shape matching algorithm that is based on this decomposition algorithm. The matching algorithm matches two shapes by matching their disk components. A local descriptor that contains both geometric and structural information is built for each disk component. Such descriptors are used to determine the matching of disk components from two shapes. The overall similarity score is established by combining scores from matching individual disk components. The experiments show that the algorithm is tolerant to scale and rotation changes. An advantage of the algorithm is that the matching can be done at different levels of details.
  • Keywords
    computational geometry; image matching; image representation; shape recognition; disk component; geometrical information; morphological shape decomposition algorithm; morphological structural shape component; shape matching algorithm; shape representation; Computer science; Computer vision; Data mining; Humans; Image reconstruction; Machine vision; Skeleton; Structural shapes; Shape matching; morphological decomposition; shape components; shape representation; structural representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712325
  • Filename
    4712325