High-Speed Subpixel Image Registration in MATLAB

This MATLAB project provides comprehensive source code and working examples for achieving high-precision subpixel image registration. The algorithm combines normalized cross-correlation for initial coarse alignment with a modified moment method for subpixel refinement, achieving both computational efficiency and measurement accuracy. The implementation includes functions for calculating 2D cross-correlation using FFT acceleration and subpixel interpolation through quadratic surface fitting around correlation peaks. The project files section contains all necessary source files and documentation. Please review the included MATLAB scripts (.m files) which demonstrate key functions such as: - cross_corr_subpixel.m - Main registration function implementing FFT-based correlation - refine_peak.m - Subpixel refinement using moment-based peak localization - example_usage.m - Practical implementation examples with test images Each function includes detailed comments explaining parameters and algorithmic steps. For technical support or implementation guidance, please contact the development team. Additional documentation provides optimization tips for handling large datasets and extending the algorithm for multi-channel image registration.