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

Thanapong, Chaichana and Watcharachai, Wiriyasuttiwong and Somporn, Reepolmaha and Chuchart, Pintavirooj and Manas, Sangworasil (2007) Extraction Blood Vessels from Retinal Fundus Image Based on Fuzzy C-Median Clustering Algorithm. In: Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, pp. 144-148. ISBN 0769528740

Full text not available from this repository.

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.

Item Type:	Book Section
Keywords:	blood vessel image extraction blood vessel visualization fuzzy c-median clustering label filter technique label filtering matched filtering ocular fundus images retinal fundus image retinal images vascular tree segments vessel segmentation
Faculty / Department:	Faculty of Human and Digital Sciences > School of Computer Science and the Environment
Depositing User:	Thanapong Chaichana
Date Deposited:	28 Jul 2017 10:49
Last Modified:	14 Jan 2025 16:34
URI:	https://hira.hope.ac.uk/id/eprint/1485

Actions (login required)

View Item