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Automatic segmentation of blood vessels in retinal image based on fuzzy K-median clustering
Author(s)
Supot, Sookpotharom
Thanapong, Chaichana
Chuchart, Pintavirooj
Manas, Sangworasil
Date Issued
December 1, 2007
Type
Conference Paper
Abstract
This paper presents an efficient method for automatic segmentation of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossovers. The proposed algorithm is composed of three steps: matched filter, fuzzy k-median (FKMED), and length filter. The segmentation results are compared with clinically generated vessel segmentation and are evaluated in terms of sensitivity and specificity. The results are encouraging and will be used for further application such as personal identification. © 2007 IEEE.
Citation
IEEE Icit 2007 2007 IEEE International Conference on Integration Technology, 584-588, 2007