Comparing 2D matched filter response and Gabor filter methods for vessel segmentation in retinal images;Retinal kan damarlarinin bölütlenmesi için i̇ki boyutlu karşilaştirma süzgeci tepkisi ve Gabor süzgeci metodlarinin karşilaştirilmasi

2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010

Volumn , Issue , 2010, Pages 648-652

  Yavuz, Zafer ^a   Köse, Cemal ^a  

^a KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TRANSFORMATION; CRITICAL STEPS; DIABETIC RETINOPATHY; FILTER RESPONSE; FUNDUS IMAGE; GABOR FILTER; RETINAL BLOOD VESSELS; RETINAL IMAGE; THRESHOLDING METHODS; TRUE POSITIVE RATES; VESSEL SEGMENTATION;

BLOOD; DIAGNOSIS; ELECTRICAL ENGINEERING; EYE PROTECTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MATCHED FILTERS; OPHTHALMOLOGY;

BLOOD VESSELS;

EID: 79951664580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Oral D., Atmaca L.S. "Optik Koherens Tomografi", Türkiye Klinikleri Journal of Ophthalmology Cilt:10, Sayi:1, 2001.
2. J. Staal, M. D. Abrmoff, M. Niemeijer, M. A. Viergever, and B. V. Ginneken, "Ridge-based vessel segmentation in color images of the retina," IEEE Trans. Med. Imag., vol. 23, no. 4, pp. 501-509, Apr. 2004.
3. O. Chutatape, L. Zheng, and S. Krishman, "Retinal blood vessel detection and tracking by matched Gaussian and Kalman filters," in Proc. IEEE Int. Conf. Eng. Biol. Soc., vol. 20, 1998, pp. 3144-3149.
4. Y. A. Tolias and S. M. Panas, "A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering," IEEE Trans. Med. Imag., vol. 17, pp. 263-273, Apr. 1998.
5. 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 Trans. Inform. Technol. Biomed., vol. 3, pp. 125-138, June 1999.
6. L. Gagnon, M. Lalonde, M. Beaulieu, and M.-C. Boucher, "Procedure to detect anatomical structures in optical fundus images," Proc. SPIE Med. Imaging: Image Processing, vol. 4322, pp. 1218-1225, 2001.
7. A. Hoover, V. Kouznetsova, and M. Goldbaum, "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response," IEEE Trans. Med. Imag., vol. 19, pp. 203-210, Mar. 2000.
8. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, "Detection of blood vessels in retinal images using two-dimensional matched filters," IEEE Trans. Med. Imag., vol. 8, pp. 263-269, Sept. 1989.
9. L. Gang, O. Chutatape, and S. M. Krishnan, "Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter," IEEE Trans. Biomed. Eng., vol. 49, pp. 168-172, Feb. 2002.
10. A. Pinz, S. Bernögger, P. Datlinger, and A. Kruger, "Mapping the human retina," IEEE Trans. Med. Imag., vol. 17, pp. 606-619, Aug. 1998.
11. X. Jiang and D. Mojon, "Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images," IEEE Trans. Pattern Anal. Machine Intell., vol. 25, pp. 131-137, Jan. 2003.
12. T. McInerney and D. Terzopoulos, "T-snakes: Topology adaptive snakes," Med. Imag. Anal., vol. 4, no. 2, pp. 73-91, 2000.
13. M. E. Martínez-Pérez, A. D. Hughes, A. V. Stanton, S. A. Thom, A. A. Bharath, and K. H. Parker, "Scale-space analysis for the characterization of retinal blood vessels," in Medical Image Computing and Computer-Assisted Intervention - MICCAI'99, C. Taylor and A. Colchester, Eds. Berlin, Germany : Springer-Verlag, 1999, pp. 90-97. ser. Lecture Notes in Computer Science.
14. 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 Medical Data Analysis, J. Crespo, V. Maojo, and F. Martin, Eds. Berlin, Germany: Springer-Verlag, 2001, pp. 282-287. ser. Lecture Notes in Computer Science.
15. F. Zana and J. C. Klein, "Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation," IEEE Trans. Image Processing, vol. 10, no. 7, pp. 1010-1019, 2001.
16. A. Hoover, http://www.ces.clemson.edu/~ahoover/stare.
17. João V. B. Soares, Jorge J. G. Leandro, Roberto M. Cesar Jr., Herbert F. Jelinek, and Michael J. Cree. "Retinal Vessel Segmentation Using the 2-D Gabor Wavelet and Supervised Classification", Ieee Transactions on Medical Imaging, Vol. 25, No. 9, pp. 1214-1222, September 2006.
18. E. Ricci and R. Perfetti, "Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification", IEEE Transactions on Medical Imaging, Vol. 26, No. 10, pp. 1357-1365, October 2007.
19. B. Shu Yan 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, Vol. 27, No. 2, pp. 237-246, February 2008.
20. R. Pourreza, H. Pourreza, T. Banaee, "Segmentation of Blood Vessels in Fundus Color Images by Radon Transform and Morphological Reconstruction" , Third International Workshop on Advanced Computational Intelligence August 25-27, 2010 - Suzhou, Jiangsu, China, pp. 522-526.