• DocumentCode
    261125
  • Title

    Detection of exudates in human fundus image with a comparative study on methods for the optic disk detection

  • Author

    Soman, Karthik ; Ravi, D.

  • Author_Institution
    Dept. of Bio Med. Eng., Alpha Coll. of Eng., Chennai, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Retinopathy is a serious problem faced by people with diabetes. Once vision is lost because of this disease, usually it cannot be restored. Ophthalmologists clinically diagnose this by detecting the presence of exudates in the fundus images. Exudates are the deposition of the fluids leaked out from the damaged vessels in the retina. The effectiveness of the treatment depends upon the early detection of these exudates. Here, we propose a method for the automatic detection in the human fundus image by the application of the digital image processing. The methods adopted here were the optic disk detection using circular Hough transform and bit plane slicing, extraction of the exudates using morphological operations. Two methods adopted for the detection of optic disk were compared in this study. The proposed method is a novel approach. It has a sensitivity of 0.9362 and an accuracy of 88%.
  • Keywords
    Hough transforms; biomedical optical imaging; diseases; eye; feature extraction; medical image processing; vision defects; bit plane slicing; circular Hough transform; diabetes; digital image processing; exudate extraction; human fundus image; morphological operations; optic disk detection; retina; retinopathy; vision lost; Diabetes; Integrated optics; Optical filters; Optical imaging; Optical sensors; Retina; Retinopathy; Diabetes; bit plane slicing; circular hough transform; diabetic retinopathy; exudates; morphological operations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7034010
  • Filename
    7034010