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.

Synthetic Aperture Radar Imaging Algorithms and Implementation

Supplemental materials for Synthetic Aperture Radar Imaging Algorithms and Implementation CD-ROM, including CD data format specifications and MATLAB programs for reading CD data, featuring implementations of various SAR processing algorithms with detailed code explanations.