• DocumentCode
    2107481
  • Title

    Enhancement of vessel contours in retinal angiograms

  • Author

    Wanas, Nayer M. ; El-Sakka, Mahmound R. ; Kamel, Mohamed S.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    908
  • Abstract
    Accurate and automatic assessment of angiograms has been sought as a powerful diagnostic tool in medical analysis, such as in diabetic retinopathy. These retinal angiogram images are characterized by poor local contrast. Applications of existing edge detection algorithms yield unsatisfactory results. In this paper, a set of cascaded linear directional filters is used to better enhance edges. Results show improvement in visual quality of the images
  • Keywords
    blood vessels; cascade networks; digital filters; edge detection; eye; image enhancement; medical image processing; cascaded linear directional filters; diabetic retinopathy; diagnostic tool; edge detection algorithms; enhancement; image contrast; medical analysis; retinal angiograms; vessel contours; visual quality; Biomedical imaging; Blood vessels; Diseases; Image analysis; Image edge detection; Image segmentation; Machine intelligence; Pattern analysis; Retina; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2000 Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-5957-7
  • Type

    conf

  • DOI
    10.1109/CCECE.2000.849597
  • Filename
    849597