relation: https://khub.utp.edu.my/scholars/667/
title: Segmentation of retinal vasculature in colour fundus images
creator: Kee, Y.P.
creator: Lila, I.I.
creator: Ahmad, F.M.H.
creator: Hanung, A.N.
creator: Hermawan, N.
creator: Vijanth, S.A.
description: Characteristic of retinal vasculature has been an important indicator for many diseases such as hypertension and diabetes. A digital image analysis system can assist medical experts to make accurate diagnosis in an efficient manner. This paper presents the computer based approach to the automated segmentation of blood vessels in retinal images. The detection of the retinal vessel is achieved by performing image enhancement using CLAHE followed by Bottomhat morphological transformation. Active contour model (snake) is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. A Graphic User Interface (GUI) has also been created to ease the user for the segmentation of the retinal vasculature. © 2009 IEEE.
date: 2009
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Kee, Y.P. and Lila, I.I. and Ahmad, F.M.H. and Hanung, A.N. and Hermawan, N. and Vijanth, S.A.  (2009) Segmentation of retinal vasculature in colour fundus images.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449098011&doi=10.1109%2fCITISIA.2009.5224176&partnerID=40&md5=2a33ed837ba00af730b77526373103b7
relation: 10.1109/CITISIA.2009.5224176
identifier: 10.1109/CITISIA.2009.5224176