Ophthalmic Technologies XXXIV 2024
DOI: 10.1117/12.3004783
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A new automated method for grading retinal tessellation in myopic eyes using fundus images

Shriharshinii Ragotham,
Janarthanam Balaji,
Rajiv Raman
et al.

Abstract: The tessellation of the retina is of clinical importance, especially in the study of myopia. This paper presents an automated grading algorithm for tessellation based on the calculation of three Tessellated Fundus Indices (TFIs). Our new algorithm utilizes the red (R), green (G), and blue (B) color components of the region of interest (ROI) surrounding the fovea in fundus images to determine the degree of tessellation, categorized into grades 0, 1, and 2. Excessive brightness in fundus images can result in ove… Show more

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