• DocumentCode
    304510
  • Title

    Curve evolution and segmentation functionals: application to color images

  • Author

    Shah, Jayant

  • Author_Institution
    Dept. of Math., Northeastern Univ., Boston, MA, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    461
  • Abstract
    Curve evolution has developed into an important tool in computer vision and has been applied to a wide variety of problems such as smoothing of shapes, shape analysis and shape recovery. The different versions of curve evolution used in computer vision together with the preprocessing step of constructing an edge-strength function can be integrated in the form of a new segmentation functional. The new functional permits junctions such as triple points to develop. The numerical solutions obtained retain sharp discontinuities or “shocks”, thus providing sharp demarcation of object boundaries. The new segmentation functional is extended for application to vector-valued features such as color
  • Keywords
    computer vision; edge detection; feature extraction; functional analysis; image colour analysis; image segmentation; smoothing methods; color images; computer vision; curve evolution; edge-strength function; junctions; numerical solutions; object boundaries; preprocessing step; segmentation functionals; shape analysis; shape recovery; shape smoothing; sharp discontinuities; shocks; triple points; vector-valued features; Application software; Color; Computer vision; Image segmentation; Information geometry; Mathematics; Shape; Skeleton; Smoothing methods; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.559533
  • Filename
    559533