An Efficient Imaging Technique for Automated Macula Localization from Fundus Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120806" target="_blank" >RIV/00216305:26220/16:PU120806 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7765390" target="_blank" >https://ieeexplore.ieee.org/document/7765390</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT.2016.7765390" target="_blank" >10.1109/ICUMT.2016.7765390</a>
Alternative languages
Result language
angličtina
Original language name
An Efficient Imaging Technique for Automated Macula Localization from Fundus Images
Original language description
Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.
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
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT
ISBN
978-1-4673-8817-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
387-391
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Lisabon
Event date
Oct 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000392263300068