Diagnostic computer processing of spectral selective images of the deep layers of the retina

Ya. Penishkevich; S. Yermolenko; O. Roslyakov

doi:10.1117/12.3015048

5 January 2024 Diagnostic computer processing of spectral selective images of the deep layers of the retina

Ya. Penishkevich, S. Yermolenko, O. Roslyakov

Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 1293827 (2024) https://doi.org/10.1117/12.3015048
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine

Abstract

The method of vascular segmentation is considered as one of the main approaches to the creation of automated retinal analysis tools. Improved retinal image analysis that can be used for segmented vascular tree to calculate vessel diameter and tortuosity, differentiation of veins and arteries together with measurement of arteriovenous ratio. The algorithm of segmentation of the retinal vessels based on fuzzy clustering of c-means and the method of setting the level is proposed. Morphological processes, CLAHE, and appropriate image filtering techniques were used to enhance the picture before fuzzy clustering of vascular pixels. A method of segmentation on publicly available datasets that uses common validation metrics in retinal vessel segmentation is proposed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ya. Penishkevich, S. Yermolenko, and O. Roslyakov "Diagnostic computer processing of spectral selective images of the deep layers of the retina", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 1293827 (5 January 2024); https://doi.org/10.1117/12.3015048

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