Cover Image

Segmentation of Retinal Vasculature using Active Contour Models (Snakes)

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 project presents the computer based approach to the automated...

Full description

Saved in:
Bibliographic Details
Main Author: Pang , Kee Yong
Format: Final Year Project
Published: Universiti Teknologi Petronas 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/id/eprint/1631/
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:utpedia.utp.edu.my:1631
record_format eprints
spelling oai:utpedia.utp.edu.my:16312023-10-09T03:53:30Z http://utpedia.utp.edu.my/id/eprint/1631/ Segmentation of Retinal Vasculature using Active Contour Models (Snakes) Pang , Kee Yong TK Electrical engineering. Electronics Nuclear engineering 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 project 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) that based on level sets, techniques of curve evolution, and Mumford-Shah functional for segmentation is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. Universiti Teknologi Petronas 2009 Final Year Project NonPeerReviewed Pang , Kee Yong (2009) Segmentation of Retinal Vasculature using Active Contour Models (Snakes). [Final Year Project] (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Pang , Kee Yong
Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
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 project 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) that based on level sets, techniques of curve evolution, and Mumford-Shah functional for segmentation is then used to segment out the detected retinal vessel and produce a complete retinal vasculature.
format Final Year Project
author Pang , Kee Yong
author_facet Pang , Kee Yong
author_sort Pang , Kee Yong
title Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
title_short Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
title_full Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
title_fullStr Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
title_full_unstemmed Segmentation of Retinal Vasculature using Active Contour Models (Snakes)
title_sort segmentation of retinal vasculature using active contour models (snakes)
publisher Universiti Teknologi Petronas
publishDate 2009
url http://utpedia.utp.edu.my/id/eprint/1631/
_version_ 1781707670338666496
score 13.214268

Similar Items