Automated Fovea Center Estimation In Adaptive Optics Images

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Date
2020
ORCID
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Referee
Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
The adaptive optics (AO) is an insightful tool with high potential. Since the first demonstration in ophthalmology has undergone immense growth in its diagnostic application, mainly because the AO enables to capture retina in vivo with resolution on the cellular level. In the center of the retina is macula, containing the fovea. The fovea detection is possible with utilizing the knowledge of its characteristical properties. We developed and applied two methods for fovea center estimation. The first method is based on image maximum detection. The second is based on the 2D Gaussian curve fitting. The first method has proved better results in comparison with manual grading. The measured difference was 32_x0006_27 pixels. The second approach has in comparison with manual grading slightly higher difference equal to 108_x0006_64 pixels. Both of the methods estimated the foveal center within the expected foveal area.
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Citation
Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 141-145. ISBN 978-80-214-5868-0
https://conf.feec.vutbr.cz/eeict/EEICT2020
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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