Segmentation of Retinal Vasculature in Colour Fundus Images

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 th...

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Main Authors:	Iznita , I.L., Asirvadam , Vijanth Sagayan, Mohd Hani, Ahmad Fadzil
Format:	Conference or Workshop Item
Published:	2009
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1

id	utp-1845
recordtype	eprints
spelling	utp-18452011-01-04T04:22:30Z Segmentation of Retinal Vasculature in Colour Fundus Images Iznita , I.L. Asirvadam , Vijanth Sagayan Mohd Hani, Ahmad Fadzil QA75 Electronic computers. Computer science 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 Bottom- hat 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 Conference or Workshop Item PeerReviewed http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1 Iznita , I.L. and Asirvadam , Vijanth Sagayan and Mohd Hani, Ahmad Fadzil (2009) Segmentation of Retinal Vasculature in Colour Fundus Images. In: 2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2009), 25-25 July 2009, Monash KL. http://eprints.utp.edu.my/1845/
institution	Universiti Teknologi Petronas Universiti Teknologi Petronas
repository_type	Digital Repository
institution_category	Local University
building	UTP Repository
collection	Online Access
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Iznita , I.L. Asirvadam , Vijanth Sagayan Mohd Hani, Ahmad Fadzil Segmentation of Retinal Vasculature in Colour Fundus Images
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 Bottom- hat 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.
format	Conference or Workshop Item
author	Iznita , I.L. Asirvadam , Vijanth Sagayan Mohd Hani, Ahmad Fadzil
author_facet	Iznita , I.L. Asirvadam , Vijanth Sagayan Mohd Hani, Ahmad Fadzil
author_sort	Iznita , I.L.
title	Segmentation of Retinal Vasculature in Colour Fundus Images
title_short	Segmentation of Retinal Vasculature in Colour Fundus Images
title_full	Segmentation of Retinal Vasculature in Colour Fundus Images
title_fullStr	Segmentation of Retinal Vasculature in Colour Fundus Images
title_full_unstemmed	Segmentation of Retinal Vasculature in Colour Fundus Images
title_sort	segmentation of retinal vasculature in colour fundus images
publishDate	2009
url	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1
first_indexed	2018-09-08T10:08:18Z
last_indexed	2018-09-08T10:08:18Z
_version_	1611033527846961152

Segmentation of Retinal Vasculature in Colour Fundus Images

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