Automatic adaptive optics retinal images montaging

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141399" target="_blank" >RIV/00216305:26220/21:PU141399 - isvavai.cz</a>
Result on the web
<a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic adaptive optics retinal images montaging
Original language description
The adaptive optics images capture limited field of view. Nevertheless, the quantitative retina assessment requires analysis over extended areas captured by images on various retina positions. The fully automated method for image registration and montaging is presented. The method utilizes scale invariant feature transform (SIFT) for feature extraction from preprocessed images. The method is tested on 200 images of normal healthy patients. The montages of 20 eyes were created and evaluated by normalized mutual information metrics and the results showed high alignment accuracy.
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 27th Conference STUDENT EEICT 2021
ISBN
978-80-214-5943-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
121-125
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
Brno
Event date
Apr 27, 2021
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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