Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128516" target="_blank" >RIV/00216305:26220/18:PU128516 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions
Original language description
Diabetic Retinopathy is one of those eye diseases which may cause permanent loss of vision if not treated at an early stage. The current paper proposes an algorithmic rule for detection of red lesions and grading the severity of a fundus image depending on its location in the image. Some significant and deciding objects like optic disc and macula are segmented using adaptive intensity-based threshold, geometrical features, kmeans clustering and morphological operations. Imaging techniques like color normalization, median filtering and morphological operations are used for segmentation of blood vessels and red lesions. Finally, a region-based framework has been used for grading the severity of the disease affecting the patient. The proposed method has achieved an accuracy of 89%. The proposed method has given encouraging results and can be used in development of some devices in this field.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-5386-4695-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
222-227
Publisher name
IEEE
Place of publication
Athens, Greece
Event location
Athens, Greece
Event date
Jul 4, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454845100052