Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques

IEEE Transactions on Medical Imaging

Volumn 29, Issue 11, 2010, Pages 1860-1869

  Aquino, Arturo ^a   Gegúndez Arias, Manuel Emilio ^a   Marín, Diego ^a  

^a UNIVERSITY OF HUELVA   (Spain)

Author keywords

Diabetic retinopathy; glaucoma; optic disc (OD) segmentation; retinal imaging; telemedicine

Indexed keywords

AUTOMATED DIAGNOSIS; AUTOMATED SEGMENTATION; BOUNDARY APPROXIMATIONS; COMPUTATIONAL TIME; DETECTION TECHNIQUE; DIABETIC RETINOPATHY; DIGITAL FUNDUS IMAGES; FEATURE EXTRACTION TECHNIQUES; GLAUCOMA; INITIAL INFORMATION; OPTIC DISC; RETINAL IMAGE; RETINAL IMAGING; SEGMENTATION ALGORITHMS; STANDARD DEVIATION; TEMPLATE-BASED;

ALGORITHMS; EDGE DETECTION; EYE PROTECTION; FEATURE EXTRACTION; HOUGH TRANSFORMS; IMAGE SEGMENTATION; OPHTHALMOLOGY; STATISTICS; TELEMEDICINE;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EYE FUNDUS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; OPTIC DISK; REPRODUCIBILITY; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUNDUS OCULI; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OPTIC DISK; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 78149252063     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2053042     Document Type: Article

References (34)

1. H. R. Taylor and J. E. Keeffe, "World blindness: A 21st century perspective," Br. J. Ophthalmol., vol. 85, pp. 261-266, 2001.
2. S. Wild, G. Roglic, A. Green, R. Sicree, and H. King, "Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030," Diabetes Care, vol. 27, pp. 1047-1053, 2004.
3. D. Klonoff and D. Schwartz, "An economic analysis of interventions for diabetes," Diabetes Care, vol. 23, pp. 390-404, 2000.
4. 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," Prog. Retin. Eye Res., vol. 25, pp. 99-127, 2006.
5. A. Singalavanija, J. Supokavej, P. Bamroongsuk, C. Sinthanayothin, S. Phoojaruenchanachai, and V. Kongbunkiat, "Feasibility study on computer-aided screening for diabetic retinopathy," Jpn. J. Ophthalmol., vol. 50, pp. 361-366, 2006.
6. 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," Br. J. Ophthalmol., vol. 83, pp. 902-910, 1999.
7. H. Li and O. Chutatape, "Automatic location of optic disc in retinal images," in Proc. IEEE Int. Conf. Image Process., 2001, pp. 837-840.
8. L. Gagnon, M. Lalonde, M. Beaulieu, and M. C. Boucher, "Procedure to detect anatomical structures in optical fundus images," in Proc. Conf. Med. Imag. 2001: Image Process., San Diego, CA, 2001, pp. 1218-1225.
9. A. Osareh, M. Mirmehdi, B. Thomas, and R. Markham, "Automated identification of diabetic retinal exudates in digital colour images," Br. J. Ophthalmol., vol. 87, pp. 1220-1223, 2003.
10. H. A. Quigley and A. T. Broman, "The number of people with glaucoma worldwide in 2010 and 2020," Br. J. Ophthalmol., vol. 90, pp. 262-267, 2006.
11. H. Li and O. Chutatape, "A model-based approach for automated feature extraction in fundus images," in Proc. 9th IEEE Int. Conf. Comput. Vis. (ICCV'03), 2003, vol. 1, pp. 394-399.
12. C. Sinthanayothin, "Image analysis for automatic diagnosis of diabetic retinopathy," Ph.D. dissertation, Univ. London, London, U.K., 1999.
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, Aug. 2003.
14. A. Hoover and M. Goldbaum, "Fuzzy convergence," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., Santa Barbara, CA, 1998, pp. 716-721.
15. M. Foracchia, E. Grisan, and A. Ruggeri, "Detection of optic disc in retinal images by means of a geometrical model of vessel structure," IEEE Trans. Med. Imag., vol. 23, no. 10, pp. 1189-1195, Oct. 2004.
16. A. A. H. A. R. Youssif, A. Z. Ghalwash, and A. R. Ghoneim, "Optic disc detection from normalized digital fundus images by means of a vessels' direction matched filter," IEEE Trans. Med. Imag., vol. 27, pp. 11-18, 2008.
17. 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 Recognit., 2002, pp. 743-746.
18. J. Lowell, A. Hunter, D. Steel, A. Basu, R. Ryder, E. Fletcher, and L. Kennedy, "Optic nerve head segmentation," IEEE Trans. Med. Imag., vol. 23, no. 2, pp. 256-264, Feb. 2004.
19. J. Xu, O. Chutatape, E. Sung, C. Zheng, and P. C. T. Kuan, "Optic disk feature extraction via modified deformable model technique for glaucoma analysis," Pattern Recognit., vol. 40, no. 7, pp. 2063-2076, 2007.
20. D. W. K. Wong, J. Liu, J. H. Lim, X. Jia, F. Yin, H. Li, and T. Y. Wong, "Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI," in Proc. 30th Annu. Int. IEEE EMBS Conf., 2008, pp. 2266-2269.
21. M. Lalonde, M. Beaulieu, and L. Gagnon, "Fast and robust optic disk detection using pyramidal decomposition and Hausdorff-based template matching," IEEE Trans. Med. Imag., vol. 20, no. 11, pp. 1193-1200, Nov. 2001.
22. T. Walter and J. C. 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. Med. Data Anal., 2001, pp. 282-287.
23. A. W. Reza, C. Eswaran, and S. Hati, "Automatic tracing of optic disc and exudates from color fundus images using fixed and variable thresholds," J. Med. Syst., vol. 33, pp. 73-80, 2008.
24. M. D. Abràmoff, W. L. M. Alward, E. C. Greenlee, L. Shuba, C. Y. Kim, J. H. Fingert, and Y. H. Kwon, "Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features," Invest. Ophthalmol. Vis. Sci., vol. 48, no. 4, pp. 1665-1673, 2007.
25. T. Walter and J. C. Klein, "Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy," in Handbook of Biomedical Image Analysis. New York: Kluwer, 2005, vol. 2, pp. 315-368.
26. N. Otsu, "A threshold selection method from gray-scale histogram," IEEE Trans. Syst. Man Cybern., vol. 8, pp. 62-66, 1978.
27. C. Heneghan, J. Flynn, M. O'Keefe, and M. Cahill, "Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis," Med. Image Anal., vol. 6, pp. 407-429, 2002.
28. R. C. Gonzalez and R. E. Woods, "Image Segmentation," in Digital Image Processing, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 2002, pp. 577-581.
29. V. C. Hough, Methods and means for recognizing complex patterns," U.S. Patent vol. 3 , 069, 1962 pp 654
30. R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in picture," Commun. ACM, vol. 15, pp. 11-15, 1972.
31. C. Kimme, D. Ballard, and J. Sklansky, "Finding circles by an array of accumulators," Commun. Assoc. Comput. Mach., vol. 18, pp. 120-122, 1975.
32. Download Images Section, MESSIDOR: Digital Retinal Images, MES-SIDOR TECHNO-VISION Project, France, [Online]. Available: http:// messidor.crihan.fr/ download-en.php
33. W. Gander, G. H. Golub, and R. Strebel, "Least square fitting of circles and ellipses," BIT, no. 43, pp. 558-578, 1994.
34. A. Fitzgibbon, M. Pilu, and R. B. Fisher, "Direct least square fitting of ellipses," IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 5, pp. 476-480, May 1999.