High speed detection of retinal blood vessels in fundus image using phase congruency

Soft Computing

Volumn 15, Issue 6, 2011, Pages 1217-1230

  Amin, M Ashraful ^a,b   Yan, Hong ^b,c  

^a INDEPENDENT UNIVERSITY   (Bangladesh)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Blood vessels; Fundus; Log Gabor; Phase congruency; Retinal images; Segmentation; Soft classification

Indexed keywords

FUNDUS; LOG-GABOR; PHASE CONGRUENCY; RETINAL IMAGES; SEGMENTATION; SOFT-CLASSIFICATION;

BLOOD; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; OPHTHALMOLOGY;

BLOOD VESSELS;

EID: 79956220695     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0574-2     Document Type: Article

References (26)

1. Akita K, Kuga H (1982) Pattern recognition of blood vessel networks in ocular fundus images. IEEE Int Workshop Phys Eng Med Imaging 436-441.
2. Canny JF (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8: 112-131.
3. Chaudhuri S, Chatterjee S, Katz N, Nelson M, Goldbaum M (1989) Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans Med Imaging 8: 263-269.
4. Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27: 861-874.
5. Field J (1987) Relations between the statistics of natural images and the response properties of cortical cells. J Opt Soc Am 4: 2379-2394.
6. Hoover A, Kouznetsova V, Goldbaum M (2000) Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response. IEEE Trans Med Imaging 19: 203-210.
7. Jiang X, Mojon D (2003) Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Trans Pattern Anal Mach Intell 25: 131-137.
8. Kovesi P (1999) Image feature from phase congruency. VIDERE. J Comput Vision Res 1: 1-26.
9. Lam SY, Yan H (2008) A novel vessel segmentation algorithm for pathological retina images based on divergence of vector fields. IEEE Trans Med Imaging 27: 237-246.
10. Li Q, You J, Zhang L, Bhattacharya P (2006) A multiscale approach to retinal vessel segmentation using Gabor filters and scale multiplication. IEEE Int Conf Syst Man Cybern 4: 3521-3527.
11. Marr D, Hildreth EC (1980) Theory of edge detection. Proc Roy Soc Lond 207: 187-217.
12. Morrone MC, Owens RA (1987) Feature detection from local energy. Pattern Recogn Lett 6: 303-313.
13. Morrone MC, Ross JR, Burr DC, Owens RA (1986) Mach bands are phase dependent. Nature 324: 250-253.
14. Niemeijer M, Staal J, van Ginneken B, Loog M, Abramoff MD (2004) Comparative study of retinal vessel segmentation methods on a new publicly available database. In: Fitzpatrick JM, Sonka M (eds) SPIE Med Imaging 5370: 648-656.
15. Okamoto Y, Tamura S, Yanashima K (1988) Zero-crossing interval correction in tracing eye-fundus blood vessels. Pattern Recogn 21: 227-233.
16. Oloumi F, Rangayyan RM, Oloumi F, Eshghzadeh-Zanjani P, Ayres FJ (2007) Detection of blood vessels in fundus images of the retina using Gabor wavelets. 29th annual international conference of the IEEE EMBS, pp 6452-6454.
17. Pringle KK (1969) Visual perception by a computer. In: Grasselli A (ed) Automatic interpretation and classification of images. Academic Press, New York, pp 277-284.
18. Ricci E, Perfetti R (2007) Retinal blood vessel segmentation using line operators and support vector classification. IEEE Trans Med Imaging 26: 1357-1365.
19. Soares JVB, Leandro JJG, Cesar RM Jr, Jelinek HF, Cree MJ (2006) Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Trans Med Imaging 25: 1214-1222.
20. Staal JJ, Abr-amoff MD, Niemeijer M, Viergever MA, van Ginneken B (2004) Ridge based vessel segmentation in color images of the retina. IEEE Trans Med Imaging 23: 501-509.
21. Swets JA (1996) Signal detection theory and ROC analysis in psychology and diagnostics: collected papers. Lawrence Erlbaum Associates, USA.
22. Tanaka M, Tanaka K (1980) An automatic technique for fundus-photograph mosaic and vascular net reconstruction. MEDlNFO'80, pp 116-120.
23. Venkatesh S, Owens RA (1989) An energy feature detection scheme. The International Conference on Image Processing, pp 553-557.
24. Weisstein W (1998) The CRC concise encyclopedia of mathematics. CRC Press, USA.
25. Wu D, Zhang M, Liu J-C, Bauman W (2006) On the adaptive detection of blood vessels in retinal images. IEEE Trans Biomed Eng 53: 341-343.
26. Yamamoto S, Yokouchi H (1976) Automatic recognition of color fundus photographs. In: Preston K, Onoe M (eds) Digital processing of biomedical images. Plenum Press, New York, pp 385-398.