Edge detection of the optic disc in retinal images based on identification of a round shape

This paper presents a novel method for identification of the position of the optic disc in retinal images. The method is based on the preliminary detection of the main edgedetection of retinal image. The segmentation optic disc is estimated as a circular area. We searched for areas of optic disc usi...

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Main Authors: Chaichana, T., Sun, Zhonghua, Tangjitkusolmun, S., Yoowattanna, S., Sangworasil, M.
Format: Conference Paper
Published: ISCIT 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/41825
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author Chaichana, T.
Sun, Zhonghua
Tangjitkusolmun, S.
Yoowattanna, S.
Sangworasil, M.
author_facet Chaichana, T.
Sun, Zhonghua
Tangjitkusolmun, S.
Yoowattanna, S.
Sangworasil, M.
author_sort Chaichana, T.
building Curtin Institutional Repository
collection Online Access
description This paper presents a novel method for identification of the position of the optic disc in retinal images. The method is based on the preliminary detection of the main edgedetection of retinal image. The segmentation optic disc is estimated as a circular area. We searched for areas of optic disc using Hough transform which detected several straight lines and approximated them as a circular line. The position of optic discwas identified as the center of the circle. An evaluation of the proposed procedure was performed using a set of 40 images from the DRIVE database, containing images from both healthy (33) and diseased (7) subjects. The optic disc position was correctly identified in 39 out of 40 images and the efficiency was 97.5 percent. The results illustrate that the proposed method can be used for pathological analysis of retinal images.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:09:13Z
publishDate 2008
publisher ISCIT
recordtype eprints
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spelling curtin-20.500.11937-418252017-01-30T14:55:33Z Edge detection of the optic disc in retinal images based on identification of a round shape Chaichana, T. Sun, Zhonghua Tangjitkusolmun, S. Yoowattanna, S. Sangworasil, M. retinal images Hough transforms optic - disc Edge detection This paper presents a novel method for identification of the position of the optic disc in retinal images. The method is based on the preliminary detection of the main edgedetection of retinal image. The segmentation optic disc is estimated as a circular area. We searched for areas of optic disc using Hough transform which detected several straight lines and approximated them as a circular line. The position of optic discwas identified as the center of the circle. An evaluation of the proposed procedure was performed using a set of 40 images from the DRIVE database, containing images from both healthy (33) and diseased (7) subjects. The optic disc position was correctly identified in 39 out of 40 images and the efficiency was 97.5 percent. The results illustrate that the proposed method can be used for pathological analysis of retinal images. 2008 Conference Paper http://hdl.handle.net/20.500.11937/41825 ISCIT restricted
spellingShingle retinal images
Hough transforms
optic - disc
Edge detection
Chaichana, T.
Sun, Zhonghua
Tangjitkusolmun, S.
Yoowattanna, S.
Sangworasil, M.
Edge detection of the optic disc in retinal images based on identification of a round shape
title Edge detection of the optic disc in retinal images based on identification of a round shape
title_full Edge detection of the optic disc in retinal images based on identification of a round shape
title_fullStr Edge detection of the optic disc in retinal images based on identification of a round shape
title_full_unstemmed Edge detection of the optic disc in retinal images based on identification of a round shape
title_short Edge detection of the optic disc in retinal images based on identification of a round shape
title_sort edge detection of the optic disc in retinal images based on identification of a round shape
topic retinal images
Hough transforms
optic - disc
Edge detection
url http://hdl.handle.net/20.500.11937/41825