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Mathematical Morphology based Optic Disc Detection in Retinal Fundus Images

Published on April 2015 by G. G. Rajput, B M Reshmi
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National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 2
April 2015
Authors: G. G. Rajput, B M Reshmi
5c3fbf68-7a6d-49a6-bb57-35dee41ac5b2

G. G. Rajput, B M Reshmi . Mathematical Morphology based Optic Disc Detection in Retinal Fundus Images. National conference on Digital Image and Signal Processing. DISP2015, 2 (April 2015), 1-5.

@article{
author = { G. G. Rajput, B M Reshmi },
title = { Mathematical Morphology based Optic Disc Detection in Retinal Fundus Images },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 2 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/disp2015/number2/20482-3012/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A G. G. Rajput
%A B M Reshmi
%T Mathematical Morphology based Optic Disc Detection in Retinal Fundus Images
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 2
%P 1-5
%D 2015
%I International Journal of Computer Applications
Abstract

Optic disc segmentation is a prerequisite in automatic analysis of retinal disease in color fundus images. In this paper, an algorithm for detection of optic disc (OD) in fundus images is presented. Mathematical morphology is used for segmentation of candidate optic disc region, followed by determining its center and approximating the circular optic disc boundary using circular model. Proposed method is evaluated on public database, MESSIDOR. The proposed optic disc segmentation algorithm yielded an average overlapping score of 99. 47% between true OD and segmented OD and success rate of 93%.

References
  1. Sinthanayothin, C. , Boyce, C. F. , Cook, H. L. , Williamson. H. 1999. Automated localization of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. Br. J. Ophthalmol. , 83. 902–910.
  2. Acharya, U. R, Lim, C. M. , Ng. E. Y. , Chee, C. , Tamura, T. "Computer-based detection of diabetes retinopathy stages using digital fundus images". 2009. IMechE 223 Part H: J. Engineering in Medicine.
  3. Rajendra, Acharya, U. , Eddie, Ng, Y. K. , Jasjit, Suri, S. 2008. Image Modeling of Human Eye (Book Style), Arttech House.
  4. Jagadish, Nayak. U. Rajendra, Acharya. , P. Subbanna, Bhat. , Nakul, Shetty. , Teik-Cheng, Lim. 2009. "Automated Diagnosis of Glaucoma Using Digital Fundus Images". J. Medical Systems. 337-346.
  5. Yu, Y. , Barriga, E. S. , Aqurto, C. , Echegaray, S. 2011. "Fast Localization and Segmentation of Optic disc in Retinal Images Using directional matched filtering and level sets". IEEE Trans. Information Technology in Biomedicine, 16, 4, 644-57.
  6. Vivek, kumar. , Neelam, Sinha. Automatic Optic disc segmentation Using Maximum intensity variation. 2013. In Proc. IEEE TENCON, Sydney, Australia.
  7. Ashok, Kumar, T. , Priya, S. , Mini, M. N. Optic disc Localization in Ocular Fundus Images. 2011. In Proc. Int. Conf on VLSI, Communication and Instrumentation.
  8. Aliaa, Abdel-Halleim. , Abdel-Razik, Youssif. , Atefzaki, Ghalwash. , Amr, Ahmed, Sabry. , Abdel-Rahman, Ghoneim,. 2008. "Optic disc detection from Normalized Digital Fundus Images by means of Vessel's Directional matched filter". IEEE Trans Medical Imaging, 27. 1.
  9. Lu, S. 2011. "Accurate and efficient Optic Disc detection and segmentation by circular approximation. IEEE Trans Medical Imaging", 30. 12.
  10. Touseef, Ahmed, Quereshi. , Hasan, Amin, Mahfooz , Hussain. , Rashid, Jalal, Quershi. , Bashi, Al-Diri. 2012. Automatic localization of the Optic in retinal fundus images using multiple features. In Proc IEEE 12th Int. Conf Bioinformatics and Bio Engineering, bibe. 488-493.
  11. MESSIDOR: Digital Retinal Images. URL: http://messidor. crihan.
  12. http://ee. lamar. edu/gleb/dip/index. htm
Index Terms

Computer Science
Information Sciences

Keywords

Diabetic Retinopathy Fundus Image Mathematical Morphology Optic Disc