Model-Based Image Registration Implementation
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
My graduation project implements model-based image registration designed to process images subjected to both affine transformations and nonlinear deformations. This MATLAB simulation program requires manual selection of registration points by the user. The implementation utilizes key MATLAB functions including cpselect for point selection, fitgeotrans for transformation estimation, and imwarp for image warping. The algorithm first establishes point correspondences between reference and distorted images, then computes optimal spatial transformations through least-square fitting, and finally applies the derived transformation matrix to achieve pixel-level alignment. This approach ensures accurate image registration while accommodating various transformation scenarios through parametric modeling of geometric distortions.
- Login to Download
- 1 Credits