An Efficient Glaucoma Screening Using CDR From 2-D Retinal Fundus Images

Authors

  • M.Kezia  M. Tech, Department of Electronics and Communication, JNTUA, Andhra Pradesh, India

Keywords:

Glaucoma screening, super pixel classificaton, optic disc segmentation, optic cup segmentation, cup to disc ratio(CDR) .

Abstract

Glaucoma is the second leading cause of blindness all over the world. Eye’s optic nerve will be damaged as the result of glaucoma. Patients are also unaware of the disease because of its slow progression with very few symptoms. So detecting the disease in time is very important to avoid irreversible blindness. Automated optic nerve head (ONH) assessment from 2-D retinal fundus images is more promising for low-cost glaucoma screening. In this paper, super pixels classification based segmentation method is used for optic disc and optic cup boundary estimation. Subsequently, the CDR for testing fundus eye image is computed. The proposed method achieves good accuracy in large-scale population-based glaucoma screening.

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International Journal of Scientific Research in Science and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

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How to Cite

[1]
M.Kezia, " An Efficient Glaucoma Screening Using CDR From 2-D Retinal Fundus Images , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.1404-1412, January-February-2018.