An efficient blood vessel detection algorithm for retinal images using local entropy thresholding

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 5, Issue , 2003, Pages

  Chanwimaluang, Thitiporn ^a   Fan, Guoliang ^a  

^a Oklahoma State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLOOD VESSELS; COMPUTER SIMULATION; ENTROPY; FEATURE EXTRACTION; IMAGE SEGMENTATION;

ENTROPY THRESHOLDING; MATCHED FILTERING;

IMAGE UNDERSTANDING;

EID: 0038758794     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. L. Zhou, M. S. Rzeszotarski, L. Singerman, and J. M. Chokreff, "The detection and quantification of retinopathy using digital angiograms," IEEE Trans. Medical imaging, vol. 13, no. 4, December 1994.
3. A. Hoover, V. Kouznetsova, and M. Goldbaum, "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response," IEEE Trans. Medical imaging, vol. 19, no. 3, March 2000, http://www.ces.clemson.edu/ahoover.
4. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, "Detection of blood vessels in retinal images using twodimensional matched filters," IEEE Trans. Medical imaging, vol. 8, no. 3, September 1989.
5. N. R. Pal and S. K. Pal, "Entropic thresholding," Signal processing, vol. 16, pp. 97-108, 1989.
6. 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. Information Technology in Biomedicine, vol. 3, no. 2, June 1999.