Mutual Information-Based Image Registration
Image registration using mutual information with PSO and Powell optimization algorithms, featuring a GUI interface implemented in proj.m
Explore MATLAB source code curated for "图像配准" with clean implementations, documentation, and examples.
Image registration using mutual information with PSO and Powell optimization algorithms, featuring a GUI interface implemented in proj.m
A classic MATLAB implementation of the SIFT algorithm for image registration, ideal for beginners to study computer vision fundamentals and feature extraction techniques.
Implementation of cross-correlation for image registration, ready for direct invocation with configurable parameters for optimization.
Implementation of Harris corner detection combined with NCC matching for accurate image registration, featuring high practical application value with detailed algorithm explanations and code implementation insights
The Thin Plate Spline (TPS) model performs non-rigid transformations to map source images to target images, making it highly valuable for image registration applications. Implementation involves solving a radial basis function interpolation problem with bending energy minimization.
This is an image registration program based on mutual information, implemented using MATLAB with relatively straightforward code structure and essential algorithm implementation details.
An image registration algorithm using mutual information with optimization combining Powell method and Particle Swarm Optimization for enhanced performance
Mutual information-based image registration implemented in MATLAB using Powell's optimization algorithm for efficient multi-dimensional parameter space exploration
Image registration result verification program with freely downloadable source code that requires no account registration for public access
Implementation code for motion parameter estimation using phase-correlation image registration