Glaucoma Detection by Segmenting the Super Pixels from Fundus Colour Retinal Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU111155" target="_blank" >RIV/00216305:26220/14:PU111155 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7005981" target="_blank" >https://ieeexplore.ieee.org/document/7005981</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MedCom.2014.7005981" target="_blank" >10.1109/MedCom.2014.7005981</a>
Alternative languages
Result language
angličtina
Original language name
Glaucoma Detection by Segmenting the Super Pixels from Fundus Colour Retinal Images
Original language description
Glaucoma is an eye disorder which is caused due to irreversible, progressive damage of optic nerve that leads to loss of vision. Often in early stage, people are not able to realize that they are affected by glaucoma because there will no symptom like pain or sudden loss of vision. Glaucoma is a non-curable disease and hence early detection of glaucoma is very essential. This paper proposes an automated image processing approach for detection of glaucoma which may be a diagnostic tool to help ophthalmologist in mass screening of glaucoma suspects. The proposed approach is based on the segmentation of optic disk and the optic cup and computing the cup-to-disc ratio. For segmentation of optic cup and optic disk, a double threshold method is used, one for removing blood vessels and background and second threshold for segmenting the super intensity pixels contained by the optic disk and optic cup. Further, Hough Transform is used to calculate the radius of optic disk and optic cup. The vertical cup to disk ratio is used as a parameter for identification of glaucoma symptoms in the fundus image. The results of the proposed method indicate that the approach is effective in glaucoma detection with better accuracy over existing methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MEDCOM 2014 CD-ROM
ISBN
978-1-4799-5096-6
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
86-90
Publisher name
Neuveden
Place of publication
Greater Noida
Event location
Greater Noida
Event date
Nov 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375057800018