Retinal Image Vessel Segmentation
This project focuses on vessel segmentation in retinal images with promising results achieved through advanced image processing techniques
Retinal Blood Vessel Extraction Using Kirsch's Edge Detection Templates
This program implements blood vessel extraction from retinal images using Kirsch's edge detection templates. The algorithm applies Kirsch's templates at multiple orientations to filter input retinal images, with an adjustable threshold parameter for fine-tuning the vessel extraction output. The implementation includes directional filtering and morphological processing to enhance vascular structure detection.
MATLAB Source Code Program for Retinal Image Normalization
A comprehensive MATLAB source code implementation for retinal image normalization, featuring customizable functions and algorithms for enhanced image processing and analysis workflows.