Blood vessel detection via a multi-window parameter transform

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn 2006, Issue , 2006, Pages 424-429

  Estabridis, Katia ^a   Defigueiredo, Rui ^a  

^a University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIABETIC RETINOPATHY DETECTION SYSTEM; PARAMETER TRANSFORMS; RADON TRANSFORM (RT); WINDOW SIZES;

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; IMAGE ANALYSIS; MEDICAL IMAGING;

BLOOD VESSELS;

EID: 33845575091     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2006.63     Document Type: Conference Paper

References (13)

1. National Society to Prevent Blindness. Vision problems in the U.S.: a statistical analysis. New York: National Society to Prevent Blindness, 1980.
2. 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, March 2000, pp. 203-210.
3. Z. Xu, X. Guo, X. Hu, and X. Cheng, "The Blood Vessel Recognition of Ocular Fundus", Proc. Int. Conf. Machine Learning and Cybernetics, Aug. 2005, pp.4493-4498.
4. Califano and R. M. Bolle, "The Multiple Window Parameter Transform", IEEE Trans. Pattern Analysis and Machine Intelligence, vol.14, 1992, pp 1157-1170.
5. C. Kirbas and F. K. H. Quek, "Vessel Extraction Techniques and Algorithms: A Survey", Proc. IEEE Symp. BioInformatics and BioEngineering, 2003.
6. T. Teng, M. Lefley, and D. Claremont, "Progress towards automated diabetic ocular screening: a review of image analysis and intelligent systems for diabetic retinopathy," Medical & Biological Engineering & Computing, vol. 40, Jan 2002, pp. 2-13.
7. S. Dua, N. Kandiraju, and H. Thompson, "Design and Implementation of a Unique Blood-vessel Detection Algorithm towards Early Diagnoses of Diabetic Retinopathy", Proc. Int. Conf. Information Technology: Coding and Computing, March 2005.
8. Y. Tolias and S. Panas, "A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering," IEEE Trans. Med. Imag., vol. 17, 1998, pp. 263-273.
9. C. Sinthanayothin, J. F. Boyde, H. Cook and T. H. Williamson, "Automated localization of the optic disc, fovea, and retinal blood vessels from digital colour fundus images," Br. J. Ophthalmol., vol. 83, Aug. 1999, pp. 902-910.
10. X. Jiang, and D. Mojon, "Adaptive local threshold by verification-based multithreshold probing with application to vessel detection in retinal images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, Jan. 2003, pp. 131-137.
11. N. Hamadani, "Automatic target cueing in IR imagery", Master's thesis, Air Force Institute of Technology, WPAFB, Ohio, Dec. 1981.
12. J. Jain, Fundamentals of Digital Image Processing. Prentice-Hall, 1989.
13. C. Copeland, G. Ravichandran, and M. M. Trivedi, "Localized radon transform-based detection of ship wakes in SAR images," IEEE Trans. Geosci. Remote Sensing, vol. 33, Jan. 1995, pp. 35-45.