Extraction blood vessels from retinal fundus image based on fuzzy C-median clustering algorithm

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dc.contributor.authorChaichana, Thanapong
dc.contributor.authorWiriyasuttiwong, Watcharachai
dc.contributor.authorSomporn, Reepolmaha
dc.contributor.authorChuchart, Pintavirooj
dc.contributor.authorManas, Sangworasil
dc.date.accessioned2026-08-06T09:56:08Z
dc.date.available2026-08-06T09:56:08Z
dc.date.issued2007-12-01
dc.description.abstractAn automated method detection and extraction of blood vessels in retinal images would be described. The proposed algorithm is composed of three steps: matched filtering, fuzzy c-median (FCMED) clustering and label filtering. First, the matched filter technique is to enhance visualization of the blood vessels in retinal image. Secondly, the FCMED clustering is to keep the spatial structure of vascular tree segments. Finally, label filter technique is used to remove misclassified pixels. The algorithm has been tested on twenty sets in ocular fundus images, and experimental results are compared with clinically generated vessel segmentation and are evaluated in terms of sensitivity and specificity. This method performs well in analyzing anatomical structures in retinal image. © 2007 IEEE.
dc.identifier.citationProceedings Fourth International Conference on Fuzzy Systems and Knowledge Discovery Fskd 2007, 2, 144-148, 2007
dc.identifier.doi10.1109/FSKD.2007.286
dc.identifier.other2-s2.0-44049094789
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1881
dc.sourceProceedings Fourth International Conference on Fuzzy Systems and Knowledge Discovery Fskd 2007
dc.titleExtraction blood vessels from retinal fundus image based on fuzzy C-median clustering algorithm
dc.typeConference Paper

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