Fundus Image Processing for Macula Identification
This project focuses on identifying the macula region in fundus images through image processing techniques. The implementation involves loading fundus images, converting them from RGB to grayscale, applying morphological processing to detect the optic disc, and subsequently locating the macula based on anatomical relationships. The macula is positioned approximately 2.5 optic disc diameters (DD) away from the optic disc center, enabling precise localization of the central fovea through computational methods.