Extraction Blood Vessels from Retinal Fundus Image Based on Fuzzy C-Median Clustering Algorithm

Authors:
Chaichana Thanapong;Wiriyasuttiwong Watcharachai;Reepolmaha Somporn;Pintavirooj Chuchart;Sangworasil Manas
Affiliations:
King Mongkut's Institute of Technology Landkrabang, Bangkok 10520, Thailand.;Srinakharinwirot University, Nakhonnayok 26120, Thailand.;Srinakharinwirot University, Nakhonnayok 26120, Thailand.;King Mongkut's Institute of Technology Landkrabang, Bangkok 10520, Thailand.;King Mongkut's Institute of Technology Landkrabang, Bangkok 10520, Thailand.
Venue:
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Year:
2007

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Abstract

An 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. .