MATLAB Code Implementation for Image Registration

This text introduces a compact MATLAB-based utility for image registration, specifically designed to support research on maximum mutual information image characteristics. The implementation typically involves key MATLAB functions such as imregister for intensity-based registration and mutual information calculation using imregconfig with the 'multimodal' optimizer setting. Through image registration, precise spatial alignment of images is achieved, enabling more accurate research and analysis. This technique holds significant importance across various domains including medical imaging, computer vision, and geographic information systems (GIS). The MATLAB-based registration utility employs histogram-based probability distribution estimation to compute mutual information metrics, allowing researchers to quantitatively evaluate alignment quality. By utilizing this MATLAB platform tool, researchers can gain deeper insights into maximum mutual information image properties and establish a foundation for advanced investigations through customizable parameter adjustments in registration algorithms.