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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/1845/ |
| _version_ | 1848659176738258944 |
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| 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. |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-13T07:26:16Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:1845 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| last_indexed | 2025-11-13T07:26:16Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:18452011-01-04T04:22:30Z http://scholars.utp.edu.my/id/eprint/1845/ 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 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://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5224176&tag=1 |
| spellingShingle | QA75 Electronic computers. Computer science Iznita , I.L. Asirvadam , Vijanth Sagayan Mohd Hani, Ahmad Fadzil Segmentation of Retinal Vasculature in Colour Fundus Images |
| title | 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_short | Segmentation of Retinal Vasculature in Colour Fundus Images |
| title_sort | segmentation of retinal vasculature in colour fundus images |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/1845/ http://scholars.utp.edu.my/id/eprint/1845/ |