MATLAB Code for Image Morphing Implementation

This MATLAB code example demonstrates the implementation of image morphing, a technique that creates smooth transitions between two images. The code provides hands-on experience with key image processing operations including geometric transformations, interpolation methods, and alpha blending algorithms. Core functions utilized in this implementation include imresize for handling different image resolutions, imwarp for applying transformations, and imfuse for image blending operations. The code structure allows you to explore different parameter configurations such as transition duration, interpolation methods (linear vs. cubic), and control point mappings. Detailed comments explain how to handle images of varying sizes and resolutions through automatic scaling and padding techniques. You can experiment with different image pairs to observe how feature correspondence affects the morphing quality. This practical example serves as an educational resource for understanding fundamental computer vision concepts while providing a customizable framework for advanced morphing applications.