Automated Detection of Optic Disc in Fundus Images

  • R. Burman
  • A. Almazroa
  • K. Raahemifar
  • V. Lakshminarayanan
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 166)


Optic disc (OD) localization is an important preprocessing step in the automated image detection of fundus image infected with glaucoma. An Interval Type-II fuzzy entropy based thresholding scheme along with Differential Evolution (DE) is applied to determine the location of the OD in the right of left eye retinal fundus image. The algorithm, when applied to 460 fundus images from the MESSIDOR dataset, shows a success rate of 99.07 % for 217 normal images and 95.47 % for 243 pathological images. The mean computational time is 1.709 s for normal images and 1.753 s for pathological images. These results are important for automated detection of glaucoma and for telemedicine purposes.


Differential EvolutionDifferential Evolution Optic Disc Normal Image Parent Vector Fundus Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2015

Authors and Affiliations

  • R. Burman
    • 1
  • A. Almazroa
    • 2
  • K. Raahemifar
    • 3
  • V. Lakshminarayanan
    • 2
    • 4
  1. 1.Department of Electronics and Telecommunication EngineeringJadavpur UniversityKolkataIndia
  2. 2.School of Optometry and Vision ScienceUniversity of WaterlooWaterlooCanada
  3. 3.Department of Electrical and Computer EngineeringRyerson UniversityTorontoCanada
  4. 4.Department of PhysicsUniversity of WaterlooWaterlooCanada

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