• DocumentCode
    3530873
  • Title

    An adaptive contrast method for segmentation of drusen

  • Author

    Sbeh, Z.B. ; Cohen, Laurent D. ; Mimoun, Gérard ; Coscas, Gabriel ; Soubrane, Giséle

  • Author_Institution
    CEREMADE, Univ. Paris 9, France
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    255
  • Abstract
    The goal of this article is the segmentation of angiographic eye fundus images in order to extract “drusen”, yellowish deposits at the retina level. Since classical segmentation methods are not efficient for the automatic extraction of drusen, we introduce a new adaptive approach. We give an adaptive algorithm based on mathematical morphology transforms. For the “maxima h-∞” transform, we propose an automatic definition of the contrast parameter h. We also introduce an approach with a non-constant function, h(x). The result highlights the bright blobs over an uniform background. Our method gives very satisfying results on typical images
  • Keywords
    adaptive signal processing; eye; image segmentation; mathematical morphology; medical image processing; parameter estimation; patient diagnosis; transforms; adaptive algorithm; adaptive contrast method; angiographic eye fundus images; automatic extraction; bright blobs; contrast parameter; drusen; image segmentation; mathematical morphology transforms; maxima h-∞ transform; nonconstant function; uniform background; yellowish deposits extraction; Adaptive algorithm; Image edge detection; Image segmentation; Law; Legal factors; Morphology; Pigmentation; Retina; Shape; Testing;
  • 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.1997.647753
  • Filename
    647753