• DocumentCode
    2871707
  • Title

    A fuzzy logic approach to drusen detection in retinal angiographic images

  • Author

    Thdibaoui, A. ; Rajn, A. ; Bunel, P.

  • Author_Institution
    Lab. d´´Etude et de Recherche en Instrum. Signaux et Syst., Paris XII Univ., France
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    748
  • Abstract
    Drusen are yellow deposits at the level of the retinal pigment and are frequently associated with age-related macular degeneration (ARMD). Drusen often change in size, number and degree of confluence. A quantitative method to measure the development of drusen is needed for controlled studies of the natural history, prognosis, and tertenant of ARMD. A novel method to detect drusen is presented. This method proceeds in two steps: an optimal partition followed by a fuzzy logic approach. The proposed method is used to quantify objectively drusen over time, it constitutes a diagnosis help tool to the long term follow-up of patients
  • Keywords
    eye; fuzzy logic; image classification; image segmentation; medical image processing; ARMD; age-related macular degeneration; drusen detection; fuzzy logic; gray level images; image segmentation; retinal angiographic images; Blindness; Fuzzy logic; History; Image segmentation; Instruments; Iterative methods; Pathology; Pixel; Retina; Senior citizens;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903025
  • Filename
    903025