Grading Quality of Color Retinal Images to Assist Fundus Camera Operators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138615" target="_blank" >RIV/00216305:26230/20:PU138615 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12202/" target="_blank" >https://www.fit.vut.cz/research/publication/12202/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CBMS49503.2020.00022" target="_blank" >10.1109/CBMS49503.2020.00022</a>
Alternative languages
Result language
angličtina
Original language name
Grading Quality of Color Retinal Images to Assist Fundus Camera Operators
Original language description
Suitable image quality is a prerequisite to ensure accurate diagnosis or person recognition by color retinal images. Many factors during image acquisition, transferring and storing can result in poor quality retinal images. Poor quality images not only increase the possibility of wrong diagnosis, false acceptance, or incorrect identification but also increase diagnosis or recognition time. Therefore, retinal image quality assessment has become an important research topic. In general, only one color channel (most of the time either green or grayscale) is used to assess the quality of retinal images ignoring the quality of other channels. However, all image channels carry complementary information. In this paper, we propose a quality assessment approach for a colored retinal image to assist a fundus camera operator to judge the image quality. In our approach, we analyze the histogram of pixel intensity and uniformity of illumination, as well as check the presence of two main anatomical structures, optic disc, and central retinal blood vessels, in all color channels (i.e., red, green and blue) as well as in grayscale format.We show the effectiveness of our approach by grading 3090 color retinal images of five publicly available retinal databases.
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
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
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 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
ISBN
978-1-7281-9429-5
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
77-82
Publisher name
IEEE Computer Society Press
Place of publication
Rochester
Event location
Rochester
Event date
Jul 28, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000786468800015