• DocumentCode
    1872977
  • Title

    Connective segmentation

  • Author

    Serra, Jean

  • Author_Institution
    A2SI Lab., Univ. of Paris-Est, Paris
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2192
  • Lastpage
    2195
  • Abstract
    These last five years, mathematical morphology evolved in a few directions, an important one being a theory and practice of segmentation. This theory is based on the search for maximal partitioning of the space. The central theorem of the paper (Theorem 7) identifies segmentation with some classes of connections. Just as connections, the segmentations can then be regrouped by suprema and infima, which permits serial and parallel combinations. The segmentation classes turn out to be independent of their location in the measuring field, assuming that a convenient neighborhood is experimentally accessible.
  • Keywords
    image segmentation; mathematical morphology; optimisation; connective segmentation; image segmentation; mathematical morphology; optimization; Extraterrestrial measurements; Image processing; Image segmentation; Laboratories; Lattices; Lead; Morphology; Partitioning algorithms; Connective segmentation; image segmentation; mathematical morphology; optimization; partition lattice;
  • 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.2008.4712224
  • Filename
    4712224