An effective retinal blood vessel segmentation method using multi-scale line detection

Pattern Recognition

Volumn 46, Issue 3, 2013, Pages 703-715

  Nguyen, Uyen T V ^a   Bhuiyan, Alauddin ^a   Park, Laurence A F ^b   Ramamohanarao, Kotagiri ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Central reflex; Line detector; Retinal image; Vessel extraction

Indexed keywords

CARDIO-VASCULAR DISEASE; CENTRAL REFLEX; DATA SETS; HIGH RESOLUTION; ITS EFFICIENCIES; LINE DETECTION; LINE DETECTORS; MULTISCALES; RETINAL BLOOD VESSELS; RETINAL IMAGE; SEGMENTATION ACCURACY; SEGMENTATION RESULTS; VESSEL EXTRACTION; VISUAL INSPECTION; WIDTH MEASUREMENTS;

BLOOD VESSELS; DETECTORS; MEASUREMENTS; OPHTHALMOLOGY;

IMAGE SEGMENTATION;

EID: 84870252208     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.08.009     Document Type: Article

References (34)

1. B. Wasan, A. Cerutti, S. Ford, and R. Marsh Vascular network changes in the retina with age and hypertension Journal of Hypertension 13 12 1995 1724 1728
2. T.Y. Wong, and R. McIntosh Hypertensive retinopathy signs as risk indicators of cardiovascular morbidity and mortality British Medical Bulletin 73 1 2005 57 70
3. E.J. Sussman, W.G. Tsiaras, and K.A. Soper Diagnosis of diabetic eye disease JAMA: The Journal of the American Medical Association 247 23 1982 3231 3234
4. T.Y. Wong, R. Klein, D.J. Couper, L.S. Cooper, E. Shahar, L.D. Hubbard, M.R. Wofford, and A.R. Sharrett Retinal microvascular abnormalities and incident stroke the atherosclerosis risk in communities study The Lancet 358 9288 2001 1134 1140
5. T.Y. Wong, R. Klein, A.R. Sharrett, B.B. Duncan, D.J. Couper, B.E.K. Klein, L.D. Hubbard, and F.J. Nieto Retinal arteriolar diameter and risk for hypertension Annals of Internal Medicine 140 4 2004 248 255
6. J. Staal, M.D. Abràmoff, M. Niemeijer, M.A. Viergever, and B. van Ginneken Ridge-based vessel segmentation in color images of the retina IEEE Transactions on Medical Imaging 23 4 2004 501 509
7. J.V.B. Soares, J.J.G. Leandro, R.M. Cesar, H.F. Jelinek, and M.J. Cree Retinal vessel segmentation using the 2-d gabor wavelet and supervised classification IEEE Transactions on Medical Imaging 25 9 2006 1214 1222
8. E. Ricci, and R. Perfetti Retinal blood vessel segmentation using line operators and support vector classification IEEE Transactions on Medical Imaging 26 10 2007 1357 1365
9. M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, S. Barman, Blood vessel segmentation methodologies in retinal images - A survey, Computer Methods and Programs in Biomedicine.
10. I. Liu, and Y. Sun Recursive tracking of vascular networks in angiograms based on the detection-deletion scheme IEEE Transactions on Medical Imaging 12 2 1993 334 341
11. L. Zhou, M.S. Rzeszotarski, L.J. Singerman, and J.M. Chokreff The detection and quantification of retinopathy using digital angiograms IEEE Transactions on Medical Imaging 13 4 1994 619 626
12. O. Chutatape, L. Zheng, S. Krishnan, Retinal blood vessel detection and tracking by matched gaussian and kalman filters, in: Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE, vol. 6, IEEE, 1998, pp. 3144-3149.
13. Y.A. Tolias, and S.M. Panas A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering IEEE Transactions on Medical Imaging 17 2 1998 263 273
14. A. Can, H. Shen, J.N. Turner, H.L. Tanenbaum, and B. Roysam Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms IEEE Transactions on Information Technology in Biomedicine 3 2 1999 125 138
15. Y. Yin, M. Adel, and S. Bourennane Retinal vessel segmentation using a probabilistic tracking method Pattern Recognition 45 2012 1235 1244
16. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum Detection of blood vessels in retinal images using two-dimensional matched filters IEEE Transactions on Medical Imaging 8 3 1989 263 269
17. A. Hoover, V. Kouznetsova, and M. Goldbaum Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response IEEE Transactions on Medical Imaging 19 3 2000 203 210
18. M. Al-Rawi, M. Qutaishat, and M. Arrar An improved matched filter for blood vessel detection of digital retinal images Computers in Biology and Medicine 37 2 2007 262 267
19. L. Zhang, Q. Li, J. You, and D. Zhang A modified matched filter with double-sided thresholding for screening proliferative diabetic retinopathy IEEE Transactions on Information Technology in Biomedicine 13 4 2009 528 534
20. B. Zhang, L. Zhang, and F. Karray Retinal vessel extraction by matched filter with first-order derivative of gaussian Computers in Biology and Medicine 40 4 2010 438 445
21. 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 Journal of Ophthalmology 83 8 1999 902
22. M. Niemeijer, J. Staal, B. van Ginneken, M. Loog, M. D. Abramoff, Comparative study of retinal vessel segmentation methods on a new publicly available database, in: Proceedings of SPIE, vol. 5370, 2004, pp. 648-656.
23. M. Sofka, and C.V. Stewart Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures IEEE Transactions on Medical Imaging 25 12 2006 1531 1546
24. C.A. Lupascu, D. Tegolo, and E. Trucco Fabc retinal vessel segmentation using adaboost IEEE Transactions on Information Technology in Biomedicine 14 5 2010 1267 1274
25. D. Marin, A. Aquino, M.E. Gegúndez-Arias, and J.M. Bravo A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features IEEE Transactions on Medical Imaging 30 1 2011 146 158
26. X. You, Q. Peng, Y. Yuan, Y. Cheung, and J. Lei Segmentation of retinal blood vessels using the radial projection and semi-supervised approach Pattern Recognition 44 2011 2314 2324
27. F. Zana, and J.C. Klein Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation IEEE Transactions on Image Processing 10 7 2001 1010 1019
28. X. Jiang, D. Mojon, Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images, IEEE Transactions on Pattern Analysis and Machine Intelligence (2003) 131-137.
29. K. Vermeer, F. Vos, H. Lemij, and A. Vossepoel A model based method for retinal blood vessel detection Computers in Biology and Medicine 34 3 2004 209 219
30. M.E. Martinez-Perez, A.D. Hughes, S.A. Thom, A.A. Bharath, and K.H. Parker Segmentation of blood vessels from red-free and fluorescein retinal images Medical Image Analysis 11 1 2007 47 61
31. B.S.Y. Lam, and H. Yan A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields IEEE Transactions on Medical Imaging 27 2 2008 237 246
32. B.S.Y. Lam, Y. Gao, and A.W.C. Liew General retinal vessel segmentation using regularization-based multiconcavity modeling IEEE Transactions on Medical Imaging 29 7 2010 1369 1381
33. M. Vlachos, and E. Dermatas Multi-scale retinal vessel segmentation using line tracking Computerized Medical Imaging and Graphics 34 3 2010 213 227
34. B. Al-Diri, A. Hunter, D. Steel, M. Habib, T. Hudaib, S. Berry, Review-A reference data set for retinal vessel profiles, in: Engineering in Medicine and Biology Society, 2008. EMBS 2008, 30th Annual International Conference of the IEEE, IEEE, 2008, pp. 2262-2265.