• DocumentCode
    318338
  • Title

    Segmentation and edge-preserving restoration

  • Author

    Teboul, Sylvie ; Blanc-Féraud, Laure ; Aubert, Gilles ; Barlaud, Michel

  • Author_Institution
    Lab. I3S, Nice Univ., Valbonne, France
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    470
  • Abstract
    This paper deals with segmentation and edge-preserving restoration. We use an active contour method to segment an image which may not be very noisy with regard to its edges. In order to both restore and segment a noisy image, we propose in this paper to derive a system of two partial differential equations, one for edge-preserving restoration (using edges given by segmentation), and the other for segmentation (using the restored image)
  • Keywords
    edge detection; image restoration; image segmentation; noise; object recognition; partial differential equations; PDE; active contour method; edge-preserving restoration; noisy image; partial differential equations; restored image; segmentation; Active contours; Active noise reduction; Differential equations; Image restoration; Image segmentation; Noise shaping; Partial differential equations; Power system restoration; Shape; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.638810
  • Filename
    638810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=318338