Paper Title

A Review on Detection of Glaucoma From Retinal Fundus Images Using Digital Image Processing

Authors

Nerkar Vipul Balkrishna , Nandkishor C. Patil , Kute Yogesh Ramesh , Dadhe Atul Sheshrao

Keywords

GLCM matrix,Wavelet, Supervised Machine

Abstract

Glaucoma is a disease in which the optic nerve of the eye gets destroyed. As a result, it causes vision loss or blindness. However, with earlier diagnosis and treatment, eyes can be protected against severe vision loss. Most vision loss cases due to Glaucoma are preventable if the disease treatment is started in early stages. Most of times peripheral vision can be damaged earlier than an individual’s central vision by Glaucoma because it does not show any sign and symptoms. The existing procedures to detect Glaucoma are time consuming and uncertain at the clinic. We propose a low-cost Glaucoma detection system which is a computer-based technology and therefore, it uses algorithms to instantaneously detect and classify healthy and Glaucoma eye. It does this by analyzing region of interest (ROI) of images through implementation of various image extraction features like GLCM matrix; Wavelet based Texture features like Multi scale Linear Binary pattern. For Classification of healthy and Glaucoma eye we propose Supervised Machine Learning approach.

How To Cite

"A Review on Detection of Glaucoma From Retinal Fundus Images Using Digital Image Processing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.154 - 157, December-2019, Available :https://ijsdr.org/papers/IJSDR1912033.pdf

Issue

Volume 4 Issue 12, December-2019

Pages : 154 - 157

Other Publication Details

Paper Reg. ID: IJSDR_191181

Published Paper Id: IJSDR1912033

Downloads: 000347217

Research Area: Engineering

Country: Dhule, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1912033

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1912033

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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