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An Automatic Optic Disk Detection and Segmentation System using Multi-level ThresholdingKARASULU, B. |
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Author keywords
image processing, image segmentation, biomedical imaging, digital imaging, retinal image database
References keywords
optic(17), disc(13), detection(12), images(10), image(9), retinal(8), fundus(8), automatic(8), segmentation(6), methods(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 161 - 172
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02025
Web of Science Accession Number: 000340868100025
SCOPUS ID: 84901818521
Abstract
Optic disk (OD) boundary localization is a substantial problem in ophthalmic image processing research area. In order to segment the region of OD, we developed an automatic system which involves a multi-level thresholding. The OD segmentation results of the system in terms of average precision, recall and accuracy for DRIVE database are 98.88%, 99.91%, 98.83%, for STARE database are 98.62%, 97.38%, 96.11%, and for DIARETDB1 database are 99.29%, 99.90%, 99.20%, respectively. The experimental results show that our system works properly on retinal image databases with diseased retinas, diabetic signs, and a large degree of quality variability. |
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[1] Automatic Detection of Retinal Optic Disc using Vessel Inpainting, Ali, Aziah, Hossain, Mubdiul, Hashim, Noramiza, Isa, Wan Noorshahida Mohd, Embi, Zarina Che, Desa, Shahbe Mat, 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), ISBN 978-1-6654-6495-6, 2022.
Digital Object Identifier: 10.1109/SITIS57111.2022.00028 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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