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Segmentation of Retinal Vasculature in Colour Fundus Images

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.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

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 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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:1845
Deposited By: Dr Vijanth Sagayan Asirvadam
Deposited On:04 Jan 2011 04:22
Last Modified:04 Jan 2011 04:22

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