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Reseach Article

An Improved Method for Optic Disc Localization

by Nalan Karunanayake, Manaram Gnanasekera, N.D. Kodikara
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 13
Year of Publication: 2015
Authors: Nalan Karunanayake, Manaram Gnanasekera, N.D. Kodikara
10.5120/ijca2015906727

Nalan Karunanayake, Manaram Gnanasekera, N.D. Kodikara . An Improved Method for Optic Disc Localization. International Journal of Computer Applications. 128, 13 ( October 2015), 25-28. DOI=10.5120/ijca2015906727

@article{ 10.5120/ijca2015906727,
author = { Nalan Karunanayake, Manaram Gnanasekera, N.D. Kodikara },
title = { An Improved Method for Optic Disc Localization },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 13 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number13/22934-2015906727/ },
doi = { 10.5120/ijca2015906727 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:32.969422+05:30
%A Nalan Karunanayake
%A Manaram Gnanasekera
%A N.D. Kodikara
%T An Improved Method for Optic Disc Localization
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 13
%P 25-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An accurate approach for localization and segmentation of an optic disk (OD) in the retinal images is one of the most imperative tasks in an automated screening system. The retinal fundus images analysis is extensively used in the diagnosis and treatment of several eye diseases such as glaucoma and diabetic retinopathy. This research brings out a new algorithm that has not been used before to detect and segment the optic disk in all categories of retinal images, specifically healthy retinal images plus anomalous, or in other words fundus images affected due to diseases. The technique adopted for the separation of the optic disk is centered on histogram specification, mathematical morphological operations includes erosion as well as dilation along with proper thresholding and detection of circles using the Hough Transform technique. The proposed procedure has been tested on standard databases provided for ophthalmic image processing researches on internet, Diaretdb0, Diaretdb1 and local databases collected from the National Eye Hospital and the Vision Care (Pvt) Ltd. The proposed algorithm is able to locate the OD in 90% of all tested images.

References
  1. K.Vijaya and R.Patil, "Detection Of Optic Disc In Retina Using Digital Image Processing," International Journal of Computer Techniques, vol. 2, no. 1, p. 4, 2015.
  2. Reeba.K and Murugan.R, "An Automatic Screening Method to Detect Optic Disc in the Retina," International Journal of Advanced Information Technology , vol. 2, no. 4, p. 9, 2012.
  3. S. Bharkad and H.Panchariya, "Comparative Analysis of Feature Extraction Methods for Optic Disc Detection," IOSR Journal of Computer Engineering , vol. 16, no. 3, p. 6, 2014.
  4. Florin Rotaru et al, "Optic Disc Identification Methods for Retinal Images," Computer Science Journal of Moldova, vol. 22, no. 2, p. 25, 2014.
  5. R.Sharma and A.Kaur, "Detecting The Optic Disc Using Morphology And Histogram based Thresholding," International Journal of Computer Science & Engineering Technology , vol. 5, no. 6, p. 6, 2014.
  6. P.Jacob, T.Thomas and T.Devasia, "Automatic Optic Disc Localization and Segmentation using Swarm Intelligence," World of Computer Science and Information Technology Journal , vol. 5, no. 6, p. 6, 2015
  7. C. Pereira et al, "Detection of the Optic Disc in Retinal Images by Means of Ant Colony Optimization Algorithm," unpublished.
  8. P.Choukikar et al, "Segmenting the Optic Disc in Retinal Images Using Bi-Histogram Equalization and Thresholding the Connected Regions," International Journal of Emerging Technology and Advanced Engineering , vol. 4, no. 6, p. 10, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Optic disk Retinal Images Automated detection Histogram specification Hough transform Morphology Segmentation.