Phase Correlation-Based Image Registration

In the field of image processing, phase correlation-based image registration methods are widely employed for detection and recognition tasks. These approaches are typically implemented using MATLAB source code. Image registration is a technique that aligns two or more images to enable more accurate comparison of differences or subsequent processing operations in later analysis stages. By calculating phase correlation between images, this method achieves precise image alignment through frequency-domain analysis, often utilizing Fast Fourier Transform (FFT) operations and cross-power spectrum calculations. The core algorithm involves converting images to frequency domain, computing their normalized cross-power spectrum, and detecting the peak in the inverse FFT result to determine translation parameters. This enhancement in registration accuracy significantly improves the effectiveness and precision of downstream tasks, making phase correlation-based image registration a extensively researched and applied methodology in image processing.