Localization of optic disc and fovea in retinal images using intensity based line scanning analysis

Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and ac...

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Main Authors: Kamble, R., Kokare, M., Deshmukh, G., Hussin, F.A., Mériaudeau, F.
Format: Article
Published: Elsevier Ltd 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020209811&doi=10.1016%2fj.compbiomed.2017.04.016&partnerID=40&md5=fde129073de4450b8c7bcc2d0615f588
http://eprints.utp.edu.my/19424/
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spelling my.utp.eprints.194242018-04-20T00:46:51Z Localization of optic disc and fovea in retinal images using intensity based line scanning analysis Kamble, R. Kokare, M. Deshmukh, G. Hussin, F.A. Mériaudeau, F. Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and accurate localization of optic disc (OD) and fovea using one-dimensional scanned intensity profile analysis. The proposed method utilizes both time and frequency domain information effectively for localization of OD. The final OD center is located using signal peak-valley detection in time domain and discontinuity detection in frequency domain analysis. However, with the help of detected OD location, the fovea center is located using signal valley analysis. Experiments were conducted on MESSIDOR dataset, where OD was successfully located in 1197 out of 1200 images (99.75) and fovea in 1196 out of 1200 images (99.66) with an average computation time of 0.52 s. The large scale evaluation has been carried out extensively on nine publicly available databases. The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods. © 2017 Elsevier Ltd Elsevier Ltd 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020209811&doi=10.1016%2fj.compbiomed.2017.04.016&partnerID=40&md5=fde129073de4450b8c7bcc2d0615f588 Kamble, R. and Kokare, M. and Deshmukh, G. and Hussin, F.A. and Mériaudeau, F. (2017) Localization of optic disc and fovea in retinal images using intensity based line scanning analysis. Computers in Biology and Medicine, 87 . pp. 382-396. http://eprints.utp.edu.my/19424/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and accurate localization of optic disc (OD) and fovea using one-dimensional scanned intensity profile analysis. The proposed method utilizes both time and frequency domain information effectively for localization of OD. The final OD center is located using signal peak-valley detection in time domain and discontinuity detection in frequency domain analysis. However, with the help of detected OD location, the fovea center is located using signal valley analysis. Experiments were conducted on MESSIDOR dataset, where OD was successfully located in 1197 out of 1200 images (99.75) and fovea in 1196 out of 1200 images (99.66) with an average computation time of 0.52 s. The large scale evaluation has been carried out extensively on nine publicly available databases. The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods. © 2017 Elsevier Ltd
format Article
author Kamble, R.
Kokare, M.
Deshmukh, G.
Hussin, F.A.
Mériaudeau, F.
spellingShingle Kamble, R.
Kokare, M.
Deshmukh, G.
Hussin, F.A.
Mériaudeau, F.
Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
author_facet Kamble, R.
Kokare, M.
Deshmukh, G.
Hussin, F.A.
Mériaudeau, F.
author_sort Kamble, R.
title Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
title_short Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
title_full Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
title_fullStr Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
title_full_unstemmed Localization of optic disc and fovea in retinal images using intensity based line scanning analysis
title_sort localization of optic disc and fovea in retinal images using intensity based line scanning analysis
publisher Elsevier Ltd
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020209811&doi=10.1016%2fj.compbiomed.2017.04.016&partnerID=40&md5=fde129073de4450b8c7bcc2d0615f588
http://eprints.utp.edu.my/19424/
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