Методи сегментації оптичних зображень очного дна
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The paper presents a comparative analysis and evaluation of methods for segmenting
optical fundus images in order to study their efficiency, accuracy, completeness, and
computational complexity in Matlab. The methods analyzed are Otsu, adaptive thresholding,
Watershed, K-means, maximum expectation algorithm (EM), and Frangi method. The features,
advantages and disadvantages in the context of application for the diagnosis of fundus diseases
are considered
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Андрікевич С. А., Тужанський С. Є. Методи сегментації оптичних зображень очного дна // Оптико-електроннi iнформацiйно-енергетичнi технологiї. 2024. Том 47, № 1. С. 155–165.
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