Title :
Automatic Segmentation of Blood Vessels in Retinal Image Based on Fuzzy K-Median Clustering
Author :
Supot, Sookpotharom ; Thanapong, Chaichana ; Chuchart, Pintavirooj ; Manas, Sangworasil
Author_Institution :
King Mongkut ´´s Inst. of Technol. Ladkrabang, Bangkok
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.
Keywords :
blood vessels; eye; fuzzy systems; image segmentation; matched filters; median filters; medical image processing; automatic blood vessel segmentation; fuzzy k-median clustering; length filter; matched filter; retinal image; vascular intersection-crossover; Biomedical imaging; Blood vessels; Clustering algorithms; Diabetes; Diseases; Image edge detection; Image segmentation; Matched filters; Retina; Sensitivity and specificity; blood vessel; fuzzy c-mean; fuzzy k-median; matched filter; retinal image;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290384
