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Reseach Article

Localization of Optic Disc and Blood Vessel Segmentation: A Survey

by Bhavya K. Bharathan, Anjali K., Remya P. S.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 7
Year of Publication: 2017
Authors: Bhavya K. Bharathan, Anjali K., Remya P. S.
10.5120/ijca2017913091

Bhavya K. Bharathan, Anjali K., Remya P. S. . Localization of Optic Disc and Blood Vessel Segmentation: A Survey. International Journal of Computer Applications. 160, 7 ( Feb 2017), 32-36. DOI=10.5120/ijca2017913091

@article{ 10.5120/ijca2017913091,
author = { Bhavya K. Bharathan, Anjali K., Remya P. S. },
title = { Localization of Optic Disc and Blood Vessel Segmentation: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 7 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number7/27088-2017913091/ },
doi = { 10.5120/ijca2017913091 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:04.986875+05:30
%A Bhavya K. Bharathan
%A Anjali K.
%A Remya P. S.
%T Localization of Optic Disc and Blood Vessel Segmentation: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 7
%P 32-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, number of retinal disorders are affecting to all age groups. Various research activities are being carried out to diagnosis the disorders. Damage to retina leads to loss of vision. An efficient detection of optic disc(OD) is an important task in an automated retinal image examination system. Most of the OD detection algorithms are developed for normal retinal images. So, to detect OD from normal, healthy and abnormal retinal images are challenging tasks. In this work, the various methods used to locate OD and blood vessel segmentation from retinal images are discussed.

References
  1. Research Section, Digital Retinal Image for Vessel Extraction (DRIVE) Database. Utrecht, The Netherlands, Univ. Med. Center Utrecht, Image Sci. Inst. [Online]. Available:http://www.isi.uu.nl/Research/Dtabase/DR.
  2. STARE Project Website. Clemson, SC, Clemson
  3. T. Kauppi, V. Kalesnykiene, J.-K. Kamarainen, L. Lensu, I. Sorri, H. Uusitalo, H. Klviinen, and J. Pietil, “Diaretdb0: Evaluation database and methodology for diabetic retinopathy algorithms,” Lappeenranta. University of Technology, Finland, Tech. Rep., 2006.
  4. T. Kauppi, V. Kalesnykiene, J.-K. Kmrinen, L. Lensu, I. Sorr, A. Raninen, R. Voutilainen, H. Uusitalo, H. Klviinen, and J. Pietil, “Diaretdb1 diabetic retinopathy database and evaluation protocol,” Proc. of the 11th Conf. on Medical Image Understanding and Analysis (MIUA2007), pp.61–65, 2007.
  5. K. U. Research, “Chase db1,” January 2011. [Online]. Available:http://blogs.kingston.ac.uk/retinal/chasedb1/.
  6. “Messidor: Digital retinal images.” [Online]. Available:
  7. http://messidor.crihan.fr/download-en.php
  8. Siddalingaswamy C , Gopalakrishna rabhu K , “Automatic localization and boundary detection of optic disc using implicit active contours”, Internation Journal of Computer Applications, vol. 1, no. 7, pp. 1-5, 2010.
  9. Michael D. Abramoff, Meindert Niemeijer, “The automatic detection of the optic disc location in retinal images using optic disc location regression”, Conf roc IEEE Eng Med Biol Soc , 1: pp 44 2- 4435, 2006.
  10. Jaspreet Kaur, Dr Sinha, “Automated localization of optic disc and macula from fundus images”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 2, Issue 4, pp. 242-249, April 2012.
  11. S. Sekhar, W. Al-Nuaimy , A K Nandi, “Automated localization of retinal optic disc using Hough transform”, pp 1577-1580, IEEE 2008.
  12. Deepali A. Godse. Dr. Dattatraya S. Bormane, "Automated Localization of Optic Disc in Retinal Images", International Journal of Advanced Computer Science and Applications, Vol. 4, No. 2, 2013.
  13. C. Sinthanayothin, J Boyce, Cook and T Williamson, “Automated localization of the optic disc, fovea and retinal blood vessels from digital color fundus images", Br J Ophthalmol, 83: pp. 902-910, Feb. 1999.
  14. Meindert Niemeijer, Michael D. Abramoff, Bram Van Ginneken, “Segmentation of the optic disc, macula and vascular arch in fundus photographs”, IEEE Transactions on medical Imaging, vol.26, no.1, pp. 116-127, January 2007.
  15. Nagaveena, Deepashree Devaraj, Dr. S. C. Prasanna Kumar, " Vessels Segmentation In Diabetic Retinopathy By Adaptive Median Thresholding ", The International Journal Of Science & Technoledge (ISSN 2321 – 919X).
  16. S. Roychowdhury, D. Koozekanani, and K. Parhi,."Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Sub-Image Classification", IEEE Journal of Biomedical and Health Informatics IEEE J..Biomed. Health Inform., pp. 1–1,2014.
  17. Ishmeet Kaur1, Lalit Mann Singh, " A Method of Disease Detection and Segmentation of Retinal Blood Vessels using Fuzzy C-Means and Neutrosophic Approach", Imperial Journal of Interdisciplinary Research (IJIR),Vol-2, Issue-6, 2016.
  18. S. W. Franklin and S. E. Rajan,."Computerized screening of diabetic retinopathy employing blood vessel segmentation in retinal images", Biocybernetics and Biomedical Engineering, vol. 34, no. 2, pp. 117–124,2014.
  19. Roberto Annunziata, Andrea Garzelli, Lucia Ballerini, Alessandro Mecocci,and Emanuele Trucco, "Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation", IEEE journal of biomedical and health informatics, vol. 20, no. 4, july 2016.
  20. Li and O Chutatape, “Automated feature extraction in color retinal images by a model based approach”, IEEE Trans Biomed Eng , vol. 51, no.2, pp. 246-254, Feb 2004.
  21. Huajun Ying, Ming Zhang and Jyh-Charn Liu, “Fractal-based automatic localization and segmentation of optic disc in retinal images”, IEEE Proc. of the 29th Annual International conference of the IEEE EMBS, France.
  22. M Lalonde, M Beaulieu and Langis Gagnon, “Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-Based Template Matching”, vol. 20, No.11, pp. 1193-2001, Nov. 2001.
  23. Sohini Roychowdhury, Dara D. Koozekanani, Sam N. Kuchinka, and Keshab K.Parhi "Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images", IEEE Journal of Biomedical and Health Informatics.2015.
  24. Adithya Kusuma Whardana, Nanik Suciati, " A Simple Method for Optic Disk Segmentation from Retinal Fundus Image ", I.J. Image, Graphics and Signal Processing, 2014, 11, 36-42.
  25. Youssif, Aliaa Abdel-Haleim Abdel-Razik, Atef Zaki Ghalwash, and Amr Ahmed Sabry Abdel-Rahman Ghoneim. "Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels’ Direction Matched Filter." IEEE TRANSACTIONS ON MEDICAL IMAGING 27.1 (2008): 11.
  26. www.google.co.in
Index Terms

Computer Science
Information Sciences

Keywords

Vessel Segmentation OD Localization Thresholding