Mutual Information Image Registration with MATLAB Implementation

This documentation provides MATLAB source code for image registration based on mutual information methods. The implementation utilizes mutual information algorithms to achieve high-quality image alignment through statistical feature comparison between images. The code employs key functions such as imregconfig for registration configuration and imregister for executing the transformation, implementing optimization techniques like gradient descent to maximize mutual information between reference and moving images. Mutual information algorithm serves as a fundamental image registration approach that identifies optimal alignment by analyzing statistical dependencies between image intensity distributions. This ready-to-run code requires no modifications and enables efficient image registration, supporting various transformation types including rigid and affine transforms, making it particularly valuable for achieving enhanced results in image processing and computer vision applications. The implementation includes parameter tuning options for precision control and supports both monomodal and multimodal registration scenarios.