• DocumentCode
    1734715
  • Title

    Automatic detection and measurement of foveal avascular zone

  • Author

    Eladawy, Mohamed ; Karawya, Sherif M S ; Elbably, Mohamed ; Salem, Nancy M A

  • Author_Institution
    Fac. of Eng., Helwan Univ., Egypt
  • fYear
    2003
  • Lastpage
    42376
  • Abstract
    This paper describes a new digital image processing algorithm which is concerned with the automatic detection and measurement of the foveal avascular zone (FAZ) in Fundus Fluorescein Angiographies (FFA). FFA is used in ophthalmic practice to evaluate vascular retimpathies and choroidopathies. In the proposed algorithm, projection in the horizontal and vertical directions will be applied to determine the location of the dark regions in the test image that represents the region of interest. Then, image is segmented based on its gray level values by using thresholding techniques. Morphological operators and Sobel edge detector are then used to detect and localize the contour of the FAZ.
  • Keywords
    edge detection; eye; image enhancement; image segmentation; mathematical morphology; medical image processing; Fundus Fluorescein Angiographies; Sobel edge detector; automatic detection; digital image processing algorithm; foveal avascular zone; gray level values; image segmentation; morphological operators; ophthalmic practice; thresholding techniques; vascular choroidopathies; vascular retimpathies; Angiography; Blindness; Detectors; Diabetes; Digital images; Diseases; Image edge detection; Image segmentation; Retina; Retinopathy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference, 2003. NRSC 2003. Proceedings of the Twentieth National
  • Print_ISBN
    977-5031-75-3
  • Type

    conf

  • DOI
    10.1109/NRSC.2003.1217381
  • Filename
    1217381