• DocumentCode
    398390
  • Title

    Level set methods in image science

  • Author

    Tsai, Yen Hsi ; Osher, Stanley

  • Author_Institution
    Dept. of Math., Princeton Univ., NJ, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    In this article, we discuss the question "what level set methods can do for image science". We examine the presence of these and related methods in image science and introduce some relevant level set techniques that are potentially useful for this class of applications. We will show that image science demands multidisciplinary knowledge and flexible but still robust methods, and that is why the level set method has become a thriving technique in this field.
  • Keywords
    image processing; imaging; image processing; image science; imaging science; level set method; multidisciplinary knowledge; thriving level set technique; Computer graphics; Computer vision; Digital images; Image processing; Image segmentation; Level set; Linear algebra; Mathematics; Robustness; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1246759
  • Filename
    1246759