Fast Optic Disc Segmentation in Retina Using Polar Transform

Glaucoma is one among major causes of blindness in working population. Early detection of Glaucoma through automated retinal image analysis helps in preventing vision loss. Optic disk (OD) segmentation from retinal images is the preliminary step in developing the diagnostic tool for early Glaucoma d...

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Main Authors: Muhammad Nauman Zahoor, Muhammad Moazam Fraz
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7967803/
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author Muhammad Nauman Zahoor
Muhammad Moazam Fraz
author_facet Muhammad Nauman Zahoor
Muhammad Moazam Fraz
author_sort Muhammad Nauman Zahoor
collection DOAJ
description Glaucoma is one among major causes of blindness in working population. Early detection of Glaucoma through automated retinal image analysis helps in preventing vision loss. Optic disk (OD) segmentation from retinal images is the preliminary step in developing the diagnostic tool for early Glaucoma detection. In this paper, we have presented a novel hierarchical technique for fast and accurate OD localization and segmentation. Retinal vasculature and pathologies are delineated and removed by using morphological operations at preprocessing stage followed by circular Hough transform for OD localization. The precise boundary of OD is obtained by calculating the region of interest and applying a novel polar transform-based adaptive thresholding. The methodology is evaluated on a number of publicly available retinal image sets, which includes MESSIDOR, DIARETDB1, DRIONS-DB, HRF, DRIVE, and RIM-ONE, and it has shown considerable improvement over existing methods in terms of accuracy and processing time.
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spelling doaj.art-74953398d7054d4cbbe4b1381caef49f2022-12-21T20:18:46ZengIEEEIEEE Access2169-35362017-01-015122931230010.1109/ACCESS.2017.27233207967803Fast Optic Disc Segmentation in Retina Using Polar TransformMuhammad Nauman Zahoor0https://orcid.org/0000-0001-9693-1018Muhammad Moazam Fraz1School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanGlaucoma is one among major causes of blindness in working population. Early detection of Glaucoma through automated retinal image analysis helps in preventing vision loss. Optic disk (OD) segmentation from retinal images is the preliminary step in developing the diagnostic tool for early Glaucoma detection. In this paper, we have presented a novel hierarchical technique for fast and accurate OD localization and segmentation. Retinal vasculature and pathologies are delineated and removed by using morphological operations at preprocessing stage followed by circular Hough transform for OD localization. The precise boundary of OD is obtained by calculating the region of interest and applying a novel polar transform-based adaptive thresholding. The methodology is evaluated on a number of publicly available retinal image sets, which includes MESSIDOR, DIARETDB1, DRIONS-DB, HRF, DRIVE, and RIM-ONE, and it has shown considerable improvement over existing methods in terms of accuracy and processing time.https://ieeexplore.ieee.org/document/7967803/Retinal image analysissegmentationglaucomapolar transform
spellingShingle Muhammad Nauman Zahoor
Muhammad Moazam Fraz
Fast Optic Disc Segmentation in Retina Using Polar Transform
IEEE Access
Retinal image analysis
segmentation
glaucoma
polar transform
title Fast Optic Disc Segmentation in Retina Using Polar Transform
title_full Fast Optic Disc Segmentation in Retina Using Polar Transform
title_fullStr Fast Optic Disc Segmentation in Retina Using Polar Transform
title_full_unstemmed Fast Optic Disc Segmentation in Retina Using Polar Transform
title_short Fast Optic Disc Segmentation in Retina Using Polar Transform
title_sort fast optic disc segmentation in retina using polar transform
topic Retinal image analysis
segmentation
glaucoma
polar transform
url https://ieeexplore.ieee.org/document/7967803/
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