Subpixel-Level Image Matching and Registration Source Code Based on Cross-Correlation

This MATLAB source code implements subpixel-level image matching and registration using cross-correlation algorithms. The implementation utilizes cross-correlation techniques to achieve precise image alignment with enhanced registration accuracy at subpixel resolutions. The code features robust correlation-based matching algorithms that analyze pixel intensity patterns between reference and target images, employing interpolation methods for subpixel precision. Key implementation aspects include: cross-correlation matrix computation, peak detection algorithms for matching point identification, and subpixel interpolation techniques using parabolic fitting or Gaussian approximation around correlation peaks. The code structure allows users to modify correlation window sizes, interpolation methods, and matching thresholds according to specific application requirements. This source code serves as a valuable tool for image processing and computer vision applications, enabling accurate image matching tasks while providing educational insights into subpixel registration methodologies. Users can adapt and optimize the implementation for various applications including medical imaging, remote sensing, and industrial inspection systems. The modular design facilitates understanding of core algorithms while supporting customization for specific use cases.