MATLAB Implementation of Image Registration for Accurate Alignment and Stitching
Image registration technique for precisely identifying image offsets and returning results for seamless image composition
Mutual Information-Based Image Registration Program
A MATLAB-implemented image registration program based on mutual information, featuring algorithm explanations and key function descriptions to enhance understanding of mutual information concepts.
Image Registration Using Fourier-Mellin Transform
Robust image registration resistant to rotation, translation and scaling using Fourier-Mellin transform with phase correlation implementation
Source Code for Mutual Information-Based Image Registration
Source code implementation for mutual information-based image registration with Particle Swarm Optimization (PSO) algorithm
Image Registration with Particle Swarm Optimization Implementation
A robust image registration program utilizing Particle Swarm Optimization algorithm for enhanced alignment accuracy, featuring parameter optimization and transformation matrix calculation.
Image Registration Using Adaptive Regularization Method with MATLAB Implementation
MATLAB code for image registration with adaptive regularization method, including test image datasets for validation and performance analysis
Image Registration Algorithm Implemented in MATLAB
This repository provides a MATLAB-based image registration algorithm implementation, serving as a reference and educational resource for learning and research purposes.
Image Registration Using Harris Corner Detection
The Harris algorithm is a corner detection method that identifies invariant feature points in images, significantly reducing computational load and accelerating processing speed. However, this approach leads to substantial information loss. The RANSAC (Random Sample Consensus) algorithm calculates mathematical models from point sets, effectively eliminating mismatched Harris corners to produce more authentic and accurate matching results.
Medical Image Registration Methods Based on Grayscale Information
Medical image registration techniques implementing classic grayscale-based approaches with algorithm implementation insights.
SIFT Image Matching with MATLAB Implementation
Pure MATLAB code for SIFT-based image matching, ideal for image registration research. This implementation delivers excellent registration results through robust feature detection and matching algorithms.