Processing of spectral imaging of deep layers in the macula of the retina  in diabetic macular edema

Yaroslav Penishkevich; Ion Gruia; Sergey Yermolenko; Dmitry Burkovets

doi:10.1117/12.2571217

31 December 2020 Processing of spectral imaging of deep layers in the macula of the retina in diabetic macular edema

Yaroslav Penishkevich, Ion Gruia, Sergey Yermolenko, Dmitry Burkovets

Proceedings Volume 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X; 117181M (2020) https://doi.org/10.1117/12.2571217
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2020, 2020, Online Only

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.

Citation Download Citation

Yaroslav Penishkevich, Ion Gruia, Sergey Yermolenko, and Dmitry Burkovets "Processing of spectral imaging of deep layers in the macula of the retina in diabetic macular edema", Proc. SPIE 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X, 117181M (31 December 2020); https://doi.org/10.1117/12.2571217

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