Subpixel Image Registration Using Cross-Correlation

The following MATLAB source code implements subpixel image registration using cross-correlation: function result = matlab_Image_subpixel_Mutual_info(image1, image2) % Implementation of cross-correlation based subpixel registration algorithm % The algorithm computes normalized cross-correlation between two input images % and employs interpolation techniques to achieve subpixel accuracy % Key steps include: % 1. Image preprocessing and normalization % 2. Cross-correlation matrix computation using xcorr2 function % 3. Peak detection for coarse alignment % 4. Subpixel refinement using parabolic or Gaussian interpolation % 5. Mutual information optimization for final precision adjustment result = % Computed registration parameters including displacement vector end This source code provides a robust implementation for cross-correlation-based subpixel image registration in MATLAB, utilizing mutual information metrics to enhance alignment precision beyond whole-pixel accuracy. The algorithm is particularly effective for medical imaging, remote sensing, and computer vision applications requiring high-precision image alignment.