MATLAB Source Code Program for Retinal Image Normalization

This documentation provides MATLAB source code for retinal image normalization. The program facilitates retinal image processing by normalizing images to improve analyzability and processing efficiency. The implementation includes multiple modular functions and adaptive algorithms that can be customized according to specific research requirements. Key features include histogram-based intensity adjustment algorithms, spatial normalization routines, and color space transformation modules. Users can modify parameters to handle various retinal image types (e.g., fundus images, OCT scans) and adapt preprocessing pipelines. The code structure employs MATLAB's Image Processing Toolbox functions such as imadjust for contrast enhancement and imresize for dimensional standardization. Prior to implementation, users should have MATLAB installed with the Image Processing Toolbox and fundamental knowledge of retinal image characteristics. This normalized preprocessing approach enables more efficient retinal image analysis and improves subsequent segmentation/classification accuracy through standardized input conditions.