• DocumentCode
    3274612
  • Title

    Image segmentation of retinal vessels by fuzzy models

  • Author

    Pham, Tuan D. ; Tran, Dat T. ; Brown, Marianne ; Kennedy, R. Lee

  • Author_Institution
    Sch. of Inf. Technol., James Cook Univ., Townsville, Qld., Australia
  • fYear
    2005
  • fDate
    13-16 Dec. 2005
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries.
  • Keywords
    eye; fuzzy set theory; image segmentation; medical image processing; object detection; diabetic retinopathy; fuzzy models; image segmentation; retinal vessels detection; vascular conditions; Australia; Diabetes; Diseases; Fuzzy sets; Image segmentation; Information technology; Medical treatment; Retina; Retinal vessels; Retinopathy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on
  • Print_ISBN
    0-7803-9266-3
  • Type

    conf

  • DOI
    10.1109/ISPACS.2005.1595466
  • Filename
    1595466
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3274612