Diagnosis of diabetic retinopathy: Automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation

Journal of Medical Systems

Volumn 35, Issue 6, 2011, Pages 1491-1501

  Reza, Ahmed Wasif ^a   Eswaran, C ^b   Dimyati, Kaharudin ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Biomedical imaging and image processing; Cotton wool spots; Diabetic retinopathy; Exudates; Optic disc; Watershed transformation

Indexed keywords

ARTICLE; DIABETIC RETINOPATHY; OPTIC DISK; RETINA EXUDATE; RETINA IMAGE;

ALGORITHMS; DIABETIC RETINOPATHY; DIAGNOSTIC IMAGING; EXUDATES AND TRANSUDATES; FUNDUS OCULI; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; OPTIC DISK;

EID: 84856232998     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-009-9426-y     Document Type: Article

References (24)

1. AW Reza C Eswaran S Hati 2008 Diabetic retinopathy: A quadtree based blood vessel detection algorithm using RGB components in fundus images J. Med. Syst. 32 2 147 155 10.1007/s10916-007-9117-5
2. T Teng M Lefley D Claremont 2002 Progress towards automated diabetic ocular screening: A review of image analysis and intelligent systems for diabetic retinopathy Med. Biol. Eng. Comput. 40 2 13 10.1007/BF02347689 (Pubitemid 34233052)
3. GG Yen W-F Leong 2008 A sorting system for hierarchical grading of diabetic fundus images: A preliminary study IEEE Trans Inf Technol Biomed 12 1 118 130 10.1109/TITB.2007.910453 (Pubitemid 351266650)
4. D Usher M Dumskyj M Himaga TH Williamson S Nussey J Boyce 2003 Automated detection of diabetic retinopathy in digital retinal images: A tool for diabetic retinopathy screening Diabet. Med. 21 84 90 10.1046/j.1464-5491.2003.01085.x
5. AW Reza C Eswaran S Hati 2009 Automatic tracing of optic disc and exudates from color fundus images using fixed and variable thresholds J. Med. Syst. 33 1 73 80 10.1007/s10916-008-9166-4
6. Eswaran, C.; Reza, A. W.; and Hati, S.; Extraction of the contours of optic disc and exudates based on marker-controlled watershed segmentation. Proceedings of the International Conference on Computer Science and Information Technology, Singapore, pp. 719-723, 2008.
7. T Walter J-C Klein P Massin A Erginay 2002 A contribution of image processing to the diagnosis of diabetic retinopathy-Detection of exudates in color fundus images of the human retina IEEE Trans. Med. Imag. 21 10 1236 1243 10.1109/TMI.2002.806290
8. NP Ward S Tomlinson CJ Taylor 1989 Image analysis of fundus photographs-The detection and measurement of exudates associated with diabetic retinopathy Opthalmol. 96 80 86 (Pubitemid 19041332)
9. K Akita H Kuga 1982 A computer method of understanding ocular fundus images Pattern Recogn. 15 6 431 443 10.1016/0031-3203(82)90022-X (Pubitemid 13204898)
10. C Sinthanayothin JF Boyce HL Cook TH Williamson 1999 Automated localization of the optic disc, fovea and retinal blood vessels from digital color fundus images Br. J. Opthalmol. 83 231 238 10.1136/bjo.83.8.902
11. S Tamura Y Okamoto 1988 Zero-crossing interval correction in tracing eye-fundus blood vessels Pattern Recogn. 21 3 227 233 10.1016/0031-3203(88) 90057-X (Pubitemid 18648936)
12. A Pinz M Prantl P Datlinger 1998 Mapping the human retina IEEE Trans. Med. Imag. 1 210 215
13. Mendels, F.; Heneghan, C.; and Thiran, J.-P.; Identification of the optic disc boundary in retinal images using active contours. Proceedings of Irish Machine Vision image Processing (IMVIP), Maynooth, Ireland, pp. 103-115, 1999.
14. Walter, T.; and Klein, J. C.; Segmentation of color fundus images of the human retina: Detection of the optic disc and the vascular tree using morphological techniques. Proceedings of the second International Symposium: Medical Data Analysis, Madrid, Spain, pp. 282-287, 2001. (Pubitemid 33359472)
15. H Li O Chutatape 2003 Automatic detection and boundary estimation of the optic disk in retinal images using a model-based approach J. Electron. Imag. 12 1 97 105 10.1117/1.1526101
16. H Li O Chutatape 2004 Automated feature extraction in color retinal images by a model based approach IEEE Trans. Biomed. Eng. 51 2 246 254 10.1109/TBME.2003.820400 (Pubitemid 38133604)
17. M Niemeijer MD Abramoff B van Ginneken 2007 Segmentation of the optic disc, macula and vascular arch in fundus photographs IEEE Trans. Med. Imag. 26 1 116 127 10.1109/TMI.2006.885336 (Pubitemid 46096356)
18. Vallabha, D.; Dorairaj, R.; Namuduri, K.; and Thompson, H.; Automated detection and classification of vascular abnormalities in diabetic retinopathy. Proceedings of Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 1625-1629, 2004. (Pubitemid 40930415)
19. R Phillips J Forrester P Sharp 1993 Automated detection and quanification of retinal exudates Graefe's Arch. Clin. Exp. Opthalmol. 231 90 94 10.1007/BF00920219 (Pubitemid 23075141)
20. Osareh, A.; Mirmehdi, M.; Thomas, B.; and Markham, R.; Automatic recognition of exudative maculopathy using fuzzy c-means clustering and neural networks. Proceedings of Medical Image Understanding Analysis, UK, pp. 49-52, 2001.
21. AW Reza C Eswaran 2009 A decision support system for automatic screening of non-proliferative diabetic retinopathy J. Med. Syst. Springer 10.1007/s10916-009-9337-y
22. Gonzalez, R. C.; Woods, R. E.; and Eddins, S. L.; Digital image processing using MATLAB. Prentice Hall, Upper Saddle River, 2004.
23. Soille, P.; Morphological image analysis: principles and applications, 2nd edition. Springer-Verlag, New York, 2002.
24. Image Processing Toolbox, User's Guide, Version 4, The Math Works, Inc.; Natick, MA, 2003.