Automated Detection of Optic Disc Location in Retinal Images using Histogram Matching

Authors(3) :-Rachana k, Ashwini H, Navya N V

In this article, we propose a new method for localizing optic disc in retinal images. Localizing the optic disc and its center is the first step of most vessel segmentation, disease diagnostic, and retinal recognition algorithms. We use optic disc of the first four retinal images in DRIVE dataset to extract the histograms of each color component. Then, we calculate the average of histograms for each color as template for localizing the center of optic disc. On this data set, our method achieved 95% success rate for the localization of the optic disc and 70% success rate for the identification of the optic disc contour (as a circle).

Authors and Affiliations

Rachana k
ECE, Cauvery institute of technology, Mandya, Karnataka, India
Ashwini H
ECE, Cauvery institute of technology, Mandya, Karnataka, India
Navya N V
ECE, Cauvery institute of technology, Mandya, Karnataka, India

Optic disc', Retinal image, Identification algorithms, Diabetes, DRIVE and STARE dataset

  1. VV Kumari, N Suriyanarayanan, Blood vessel extraction using wiener filter and morphological operation. Int. J. Comput. Sci. Emerg. Technol. 1(4), 7–10 (2010)
  2. H Farzin, H Abrishami Moghaddam, M.-S. Moin, A novel retinal identification system. EURASIP J. Adv. Signal Process 2008, Article ID 280635 (2008). doi.10.1155/2008/280635
  3. M Ortega, MG Penedo, J Rouco, N Barreira, MJ Carreira, Retinal verification using a feature points-based biometric pattern. EURASIP J. Adv. Signal Process 2009, Article ID 235746 (2009). doi.10.1155/2009/235746
  4. PC Siddalingaswamy, K Gopalakrishna Prabhu, Automatic localization and boundary detection of optic disc using implicit active contours. Int. J. Comput. Appl. 1, 7 (2010)
  5. M Foracchia, E Grisan, A Ruggeri, Detection of optic disc in retinal images by means of a geometrical model of vessel structure. IEEE Trans. Med. Imag. 23(10), 1189–1195 (2004)
  6. EJ Carmona, M Rincón, J García-Feijoo, JM Martínez-de-la-Casa, Identification of the optic nerve head with genetic algorithms. Artif. Intell. Med. 43(3), 243–259 (2008)
  7. KW Tobin, E Chaum, VP Govindasamy, TP Karnowski, Detection of anatomic structures in human retinal imagery. IEEE Trans. Med. Imag. 26(12), 1729–1739 (2007)
  8. AD Fleming, KA Goatman, S Philip, JA Olson, PF Sharp, Automatic detection of retinal anatomy to assist diabetic retinopathy screening. Phys. Med. Biol. 52, 331–345 (2007)

Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 140-148
Manuscript Number : CSEIT184629
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rachana k, Ashwini H, Navya N V, "Automated Detection of Optic Disc Location in Retinal Images using Histogram Matching", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.140-148, May-June-2018.
Journal URL :

Article Preview