MATLAB Implementation of Contour-Based Maximum Mutual Information Image Registration Algorithm

This MATLAB-implemented image registration algorithm based on contour maximum mutual information effectively aligns two images. The algorithm utilizes contour features combined with the maximum mutual information criterion to achieve precise image matching. During the registration process, the algorithm automatically detects and matches key feature points between the two images through contour extraction and mutual information optimization, resulting in more accurate alignment outcomes. The implementation typically involves contour detection using edge detection algorithms like Canny or Sobel, followed by mutual information calculation using probability distribution functions of image intensities. The algorithm demonstrates high robustness and reliability, making it suitable for various image registration applications. Through further research and optimization of the registration parameters and feature extraction methods, the accuracy and stability of image registration can be enhanced, providing strong support for research and applications in image processing and computer vision fields.