eprintid: 667
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/67
datestamp: 2023-11-09 15:48:48
lastmod: 2023-11-09 15:48:48
status_changed: 2023-11-09 15:22:55
type: conference_item
metadata_visibility: show
creators_name: Kee, Y.P.
creators_name: Lila, I.I.
creators_name: Ahmad, F.M.H.
creators_name: Hanung, A.N.
creators_name: Hermawan, N.
creators_name: Vijanth, S.A.
title: Segmentation of retinal vasculature in colour fundus images
ispublished: pub
keywords: Active contour model; Automated segmentation; Computer-based approach; Digital image analysis; Fundus image; Fundus images; Graphic user interface; Medical experts; Morphological transformations; Retinal image; Retinal vasculature; Retinal vessels; Vessel segmentation, Blood vessels; Diagnosis; Eye protection; Image analysis; Image enhancement; Industrial applications; Intelligent systems, Ophthalmology
note: cited By 14; Conference of 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 ; Conference Date: 25 July 2009 Through 26 July 2009; Conference Code:78109
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449098011&doi=10.1109%2fCITISIA.2009.5224176&partnerID=40&md5=2a33ed837ba00af730b77526373103b7
id_number: 10.1109/CITISIA.2009.5224176
full_text_status: none
publication: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
place_of_pub: Kuala Lumpur
pagerange: 398-401
refereed: TRUE
isbn: 9781424428878
citation:   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.