A Study on Automatic Segmentation of Optic Disc in Retinal Fundus Images

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-40 Number-1
Year of Publication : 2016
Authors : Mohammed Shafeeq Ahmed, Dr. B. Indira


Mohammed Shafeeq Ahmed, Dr. B. Indira "A Study on Automatic Segmentation of Optic Disc in Retinal Fundus Images". International Journal of Computer Trends and Technology (IJCTT) V40(1):10-16, October 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Diabetic Retinopathy (DR) is one of the main causes of vision loss in the world among patients suffering from diabetes. DR is a chronic eye disease, which can be controlled by regular checkup & treatment. If left untreated, loss of vision occurs gradually and become blind. The detection and diagnosis of DR is important. DR is characterized by its features like, micro aneurysms (MAs), hemorrhages, hard exudates, soft exudates and cotton wool sports. The presence of exudates is the distinguished sign of non-proliferative DR. For successful detection of exudates, it is necessary to localize the optic disc (OD) in the retinal image under study as a result, it appears in a similar bright pattern, color and contrast as exudates appear. In this paper, we highlight the various techniques used for segmentation of OD and optic cup used by different authors performing experiments on standard and local database of fundus images.

1. K. Mahesh K. and K. Nilesh S., "Review on Fundus Image Acquisition Techniques with Database Reference to Retinal Abnormalities in Diabetic Retinopathy," International Journal of Computer Applications, vol. 68, no. 8, pp. 17-27, April 2013.
2. X. Zhu, R. M. Rangayyan and A. L. Ells, "Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head," in Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, 2011.
3. A. A. A. Youssif, A. Z. Ghalwash and A. A. S. A. Ghoneim, "Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter," IEEE Trans. Med. Imag., vol. 27, no. 1, pp. 11-18, 2008. DOI: 10.1109/TMI.2007.900326
4. Royal National Institute of Blind People (RNIB), "Retinal vessel occlusion," 7 Aug 2013. [Online]. Available: http://www.rnib.org.uk/eyehealth/ eyeconditions/eyeconditionsoz/Pages/ retinal_ vessel _occlusion.aspx. [Accessed 19 Aug 2013]
5. Mohammed Shafeeq Ahmed, Dr. B. Indira, “A Survey on Automatic Detection of Diabetic Retinopathy” International Journal of Computer Engineering and Technology, Volume 6, Issue 11, Nov 2015, pp. 36-45, ISSN Print: 0976-6367.
6. G. Schaefer and A. Clos, "Image Analysis for Exudate Detection in Retinal Images," in Biocomputation and Biomedical Informatics: Case Studies and Applications.: Medical Information Science Reference, 2010, pp. 198-203.
7. N. Patton, T. M. Aslam, T. MacGillivray, I. J. Deary, B. Dhillon, R. H. Eikelboom, K. Yogesan and I. J. Constable, "Retinal image analysis: Concepts, applications and potential," Progress in Retinal and Eye Research, vol. 25, pp. 99-127, 2006. DOI: 10.1016/j.preteyeres.2005.07.001
8. E. M. Beytas, J. F. Debatin and R. A. Blinder, "Accuracy and predictive value as measures of imaging test performance," Invest. Radiol., vol. 27, no. 5, pp. 374-378, May 1992.
9. P. Macaskill, C. Gatsonis, J. Deeks, R. Harbord and Y. Takwoingi, "Analysing and Presenting Results," in Cochrane Handbook for Systematic Reviews, J. Deeks, P. Bossuyt and C. Gatsonis, Eds., The Cochrane Collaboration, 2010.
10. M. Lalonde, M. Beaulieu and L. Gagnon, "Fast and Robust Optic Disc Detection using Pyramidal Decomposition and Hausdorff-Based Template Matching," IEEE Trans. Med. Imag., vol. 20, no. 11, pp. 1193-1200, Nov 2001. DOI: 10.1109/42.963823
11. S. Lu, "Accurate and Efficient Optic Disc Detection and Segmentation by a Circular Transformation," IEEE Trans. Med. Imag., vol. 30, no. 12, pp. 2126-2133, Dec 2011. DOI: 10.1109/TMI.2011.2164261
12. A. Aquino, M. E. Gegúndez-Arias and D. Marín, "Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques," IEEE Trans. Med. Imag., vol. 29, no. 11, pp. 1860-1869, Nov 2010. DOI: 10.1109/TMI.2010.2053042
13. A. Hoover and M. Goldbaum, "Locating the Optic Nerve in a Retinal Image Using the Fuzzy Convergence of the Blood Vessels," IEEE Trans. Med. Imag., vol. 22, no. 8, pp. 951- 958, 2003. DOI: 10.1109/TMI.2003.815900
14. C. Sinthanayothin, J. F. Boyce, H. L. Cook and T. H. Williamson, "Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images," British J. Ophthalmology, vol. 4, no. 83, pp. 902-910, 1999. DOI: 10.1136/bjo.83.8.902
15. A. Dehghani, H. A. Moghaddam and M. S. Moin, "Optic Disc Localization in Retinal Images using Histogram Matching," EURASIP Journal on Image and Video Processing, pp. 1-11, Oct 2012.
16. M. Goldbaum, S. Moezzi, A. Taylor, S. Chatterjee, J. Boyd, E. Hunter and R. Jain, "Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images," in Proc. IEEE Int. Congr. Image Process., 1996.
17. T. Walter and J. Klein, "Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques," in Proc. 2nd Int. Symp. Medical Data Analysis (ISMDA '01), p.p 282-287, 2001. DOI: 10.1007/3-540-45497-7_43
18. R. A. Abdel-Ghafar, T. Morris, T. Ritchings and I. Wood,"Progress Towards Automated Detection and Characterization of the Optic Disc in Glaucoma and Diabetic Retinopathy," Med. Inform. Internet Med., vol. 32, no. 1, pp. 19-25 March 2007. DOI: 10.1080/14639230601095865
19. X. Zhu, R. M. Rangayyan and A. L. Ells, "Detection of the Optic Nerve Head in Fundus Images of the Retina Using the Hough Transform for Circles," Journal of Digital Imaging, vol. 23, no. 3, pp. 332-341, June 2010. DOI: 10.1007/s10278- 009-9189-5
20. E. J. Carmona, M. Rincon, J. Garcia-Feijoo and J. M. Martinez-de-la-Casa, "Identification of the optic nerve head with genetic algorithms," Artificial Intell. Medicine, vol. 43, no. 3, pp. 243-259, Aug 2008. DOI: 10.1016/j.artmed.2008.04.005
21. A. D. Fleming, K. A. Goatman, S. Philip, J. A. Olson and P. F. Sharp, "Automatic detection of retinal anatomy to assist diabetic retinopathy screening," Physics in Medicine and Biology, vol. 52, no. 2, pp. 331-345, Jan 2007.
22. R. M. Rangayyan, X. Zhu, F. J. Ayres and A. L. Ells, "Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis," J. Digital Imaging, vol. 23, no. 4, pp. 438-453, Aug 2010. DOI: 10.1007/s10278-009-9261-1
23. A. Osareh, M. Mirmehdi, B. Thomas and R. Markham, "Comparison of Colour Spaces for Optic Disc Localisation in Retinal Images," in Proc. 16th Int. Conf. Pattern Recognition, 2002. DOI: 10.1109/ICPR.2002.1044865
24. S. Lu, "Automatic Optic Disc Detection using Retinal Background and Retinal Blood Vessels," in 2010 3rd Int. Conf. Biomedical Eng. Informatics, Yantai, 2010. DOI: 10.1109/BMEI.2010.5639660
25. http://www.ces.clemson.edu/~ahoover/stare
26. http://www.isi.uu.nl/Research/Databases/DRIVE
27. http://www.it.lut.fi/project/imageret/diaretdb0
28. http://www.it.lut.fi/project/imageret/diaretdb1
29. http://www.adcis.net/en/Download-Third- Party/Messidor.html OR Messidor.crihan.fr

Diabetic Retinopathy, Optic Disc, Microaneurysms, Hemorrhages, Exudates, Segmentation, Fundus Image.