TY - CONF CY - Kuala Lumpur AV - none N1 - 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 N2 - 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. TI - Segmentation of retinal vasculature in colour fundus images ID - scholars667 SP - 398 KW - 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 KW - Blood vessels; Diagnosis; Eye protection; Image analysis; Image enhancement; Industrial applications; Intelligent systems KW - Ophthalmology Y1 - 2009/// SN - 9781424428878 A1 - Kee, Y.P. A1 - Lila, I.I. A1 - Ahmad, F.M.H. A1 - Hanung, A.N. A1 - Hermawan, N. A1 - Vijanth, S.A. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449098011&doi=10.1109%2fCITISIA.2009.5224176&partnerID=40&md5=2a33ed837ba00af730b77526373103b7 EP - 401 ER -