• DocumentCode
    2971301
  • Title

    K7. Retinal Blood Vessel Image Segmentation using Rotating Filtration to Help in Early Diagnosis and Management Diabetic Retinopathy

  • Author

    S.badawy ; A.s.el-sherbeny ; A, El ; Fkirin, M.A.

  • Author_Institution
    Faculty of electronic engineering, Menufia University, Menuf, Egypt
  • fYear
    2013
  • fDate
    16-18 April 2013
  • Firstpage
    542
  • Lastpage
    548
  • Abstract
    A new technique has been proposed for early detection of diabetic retinopathy. Retinal blood vessel appearance in retina is good clinical sign of diabetes. This paper-by use of digital image processing segmentation with rotating filtration; minute and big retinal blood vessels are isolated and visualized. Four different edge detection filters are used individually. Each filter was applied on the retinal image. This filtration process been repeated with rotating filter pattern each time. Literature survey for the work done in this trend is mentioned. The algorithm and previous work performance was evaluated numerically and the achieved ROC curve demonstrates the high accuracy of using Laplacian of Gaussian filter. And it is expected to be welcomed by ophthalmologists to be used in diagnosing early stages of Diabetic Retinopathy.
  • Keywords
    Blood Vessel; Diabetic Retinopathy; Image filer; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference (NRSC), 2013 30th National
  • Conference_Location
    Cairo, Egypt
  • Print_ISBN
    978-1-4673-6219-1
  • Type

    conf

  • DOI
    10.1109/NRSC.2013.6587961
  • Filename
    6587961