Image Registration and Stitching Using Phase Correlation Method

This MATLAB source code implements image registration and stitching using the phase correlation method. Image registration is a fundamental image processing technique that aligns and combines multiple images to create larger composite images. The phase correlation method is an efficient registration algorithm that achieves accurate alignment by analyzing phase information in the frequency domain, typically using Fast Fourier Transform (FFT) operations and cross-power spectrum analysis. The MATLAB implementation includes key functions for calculating phase correlation matrices, detecting peak correlation points for translation estimation, and applying geometric transformations to align images. The code handles image preprocessing, frequency domain conversion, and seamless blending of stitched images. Users can modify parameters such as windowing functions, peak detection thresholds, and interpolation methods to optimize performance for different image types and registration scenarios. This source code provides a practical foundation for implementing image stitching pipelines, with modular functions that can be extended to handle rotation scaling estimation and advanced blending techniques. Researchers and developers can customize the algorithm to accommodate specific requirements in medical imaging, remote sensing, or computer vision applications. We welcome users to download and utilize this MATLAB source code, and hope it contributes effectively to your image processing projects. The implementation serves as both a ready-to-use solution and an educational resource for understanding phase-based registration methodologies.