Automatic extraction of micro-aneurysms and haemorrhages from digital fundus image
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU139968" target="_blank" >RIV/00216305:26220/19:PU139968 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8768847" target="_blank" >https://ieeexplore.ieee.org/document/8768847</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2019.8768847" target="_blank" >10.1109/TSP.2019.8768847</a>
Alternative languages
Result language
angličtina
Original language name
Automatic extraction of micro-aneurysms and haemorrhages from digital fundus image
Original language description
In Diabetic Retinopathy, red lesions are consisting of micro-aneurysms and haemorrhages. The paper deals with the proper detection of micro-aneurysms and haemorrhages which are found in fundus images using an automated computer vision. Morphological operations are performed to extract out all the possible candidates that have similar pixel intensity as that of the red lesions. To reject the blood vessels effectively, Gabor filter is used in this paper. Discriminatory features are extracted and fed to train SVM classifier for the proper classification of the micro-aneurysms and haemorrhages. The algorithm developed is tested on 168 fundus images taken from DIARETDBI AND MESSIDOR databases. It achieved an overall accuracy of 93% and 91.8% in classifying the micro-aneurysms and haemorrhage respectively. Proposed work is efficient and the result are encouraging to use in real time applications. © 2019 IEEE.
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)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
42nd International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-7281-1864-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
249-254
Publisher name
Neuveden
Place of publication
Hungary
Event location
Budapest, Hungary
Event date
Jul 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493442800055