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Automated identification of exudates and optic disc based on inverse surface thresholding

This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu thresholding and inverse surface thresholding. The main advantage of the propo...

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Main Authors: Yazid, H., Arof, Hamzah, Mohd Isa, H.
Format: Article
Language:English
Published: Springer Verlag 2012
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/10314/1/Automated_Identification_of_Exudates_and_Optic_Disc_Based.pdf
http://eprints.um.edu.my/10314/
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spelling my.um.eprints.103142019-08-26T06:40:15Z http://eprints.um.edu.my/10314/ Automated identification of exudates and optic disc based on inverse surface thresholding Yazid, H. Arof, Hamzah Mohd Isa, H. TA Engineering (General). Civil engineering (General) This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu thresholding and inverse surface thresholding. The main advantage of the proposed approach is that it does not depend on manually selected parameters that are normally chosen to suit the tested databases. When applied to two sets of databases the proposed method outperforms a method based on watershed segmentation. Springer Verlag 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/10314/1/Automated_Identification_of_Exudates_and_Optic_Disc_Based.pdf Yazid, H. and Arof, Hamzah and Mohd Isa, H. (2012) Automated identification of exudates and optic disc based on inverse surface thresholding. Journal of Medical Systems, 36. pp. 1997-2004. ISSN 0148-5598
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Yazid, H.
Arof, Hamzah
Mohd Isa, H.
Automated identification of exudates and optic disc based on inverse surface thresholding
description This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu thresholding and inverse surface thresholding. The main advantage of the proposed approach is that it does not depend on manually selected parameters that are normally chosen to suit the tested databases. When applied to two sets of databases the proposed method outperforms a method based on watershed segmentation.
format Article
author Yazid, H.
Arof, Hamzah
Mohd Isa, H.
author_facet Yazid, H.
Arof, Hamzah
Mohd Isa, H.
author_sort Yazid, H.
title Automated identification of exudates and optic disc based on inverse surface thresholding
title_short Automated identification of exudates and optic disc based on inverse surface thresholding
title_full Automated identification of exudates and optic disc based on inverse surface thresholding
title_fullStr Automated identification of exudates and optic disc based on inverse surface thresholding
title_full_unstemmed Automated identification of exudates and optic disc based on inverse surface thresholding
title_sort automated identification of exudates and optic disc based on inverse surface thresholding
publisher Springer Verlag
publishDate 2012
url http://eprints.um.edu.my/10314/1/Automated_Identification_of_Exudates_and_Optic_Disc_Based.pdf
http://eprints.um.edu.my/10314/
_version_ 1643688770040496128
score 13.160551

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