MATLAB Image Preprocessing Source Code for Illumination Compensation, Rotation, and Scale Normalization

This is my self-developed MATLAB source code for image preprocessing, primarily implementing illumination compensation, rotation, and scale normalization. During development, I conducted in-depth research on image processing algorithms and optimized them for real-world application scenarios. The illumination compensation module enhances image brightness and contrast through histogram equalization or adaptive gamma correction techniques, resulting in clearer and brighter images. The rotation and normalization components employ affine transformation algorithms with interpolation methods (such as bilinear or bicubic) to maintain consistency across different scales and orientations, significantly improving image recognizability and comparability. Key functions include: - imadjust() or histeq() for illumination compensation - imrotate() with specified interpolation methods for rotation - imresize() with scale factors for dimensional normalization By sharing this source code, I aim to facilitate better understanding and application of image preprocessing methods, promoting collective learning and advancement in digital image processing techniques.