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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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
Depositing User: Dr Vijanth Sagayan Asirvadam
Date Deposited: 04 Jan 2011 04:22
Last Modified: 04 Jan 2011 04:22
URI: http://scholars.utp.edu.my/id/eprint/1845

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