International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)

Issue: November 2021

Volume 6 | Issue 11

Impact factor: 5.47

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: A Review on Detection of Glaucoma From Retinal Fundus Images Using Digital Image Processing
Authors Name: Nerkar Vipul Balkrishna , Nandkishor C. Patil , Kute Yogesh Ramesh , Dadhe Atul Sheshrao
Unique Id: IJSDR1912033
Published In: Volume 4 Issue 12, December-2019
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.
Keywords: GLCM matrix,Wavelet, Supervised Machine
Cite Article: "A Review on Detection of Glaucoma From Retinal Fundus Images Using Digital Image Processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 12, page no.154 - 157, December-2019, Available :http://www.ijsdr.org/papers/IJSDR1912033.pdf
Downloads: 00060117
Publication Details: Published Paper ID: IJSDR1912033
Registration ID:191181
Published In: Volume 4 Issue 12, December-2019
DOI (Digital Object Identifier):
Page No: 154 - 157
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media