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Reseach Article

An Accurate Optic Disc Segmentation from Peripapillary Atrophy Incident Retinal Images

by M. R. N. Tagore, E. V. Krishna Rao, B. Prabhakar Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 11
Year of Publication: 2016
Authors: M. R. N. Tagore, E. V. Krishna Rao, B. Prabhakar Rao
10.5120/ijca2016911224

M. R. N. Tagore, E. V. Krishna Rao, B. Prabhakar Rao . An Accurate Optic Disc Segmentation from Peripapillary Atrophy Incident Retinal Images. International Journal of Computer Applications. 147, 11 ( Aug 2016), 14-20. DOI=10.5120/ijca2016911224

@article{ 10.5120/ijca2016911224,
author = { M. R. N. Tagore, E. V. Krishna Rao, B. Prabhakar Rao },
title = { An Accurate Optic Disc Segmentation from Peripapillary Atrophy Incident Retinal Images },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 11 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number11/25697-2016911224/ },
doi = { 10.5120/ijca2016911224 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:39.206763+05:30
%A M. R. N. Tagore
%A E. V. Krishna Rao
%A B. Prabhakar Rao
%T An Accurate Optic Disc Segmentation from Peripapillary Atrophy Incident Retinal Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 11
%P 14-20
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Glaucoma detection system analyses the retinal images. This system gives vital information about presence of Glaucoma, the second largest cause of blindness. Usually the Glaucoma patients have large Cup-to-Disc ratio (CDR), inspection of CDR of Optic Disc is crucial of any Glaucoma detection system. Therefore accurate segmentation Optic Disc (OD) and Cup are critical in the formulation of CDR. Current work focuses on OD segmentation to develop an efficient Glaucoma detection system. A serious difficulty arises in OD segmentation in retinal images having inhomogenities due to Peripapillary Atrophy (PPA) and fuzzy boundaries. So this paper proposes a OD Segmentation method that takes care of fuzzy boundaries and inhomogenity presenting in the retinal images. At First, The matched filter with Cauchy kernel is applied to extract blood vessels. Then Vessel Directional Matched filter(VDM) is used to locate the centre of the optic disc approximately followed by Vessel Inpainting to erase the vasculature in the OD region. Finally a LBF energy based active contour model is formulated that embeds edge and region based information in the newly formulated locally computed signed pressure force(SPF) function , to segment OD. The obtained results indicate that the proposed OD segmentation outperforms many existing methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Retinal Image Glaucoma Level Sets Optic Disc Segmentation