Explore MATLAB source code curated for "图像配准" with clean implementations, documentation, and examples.
This program performs image registration by integrating SIFT-based keypoint detection with Canny edge detection. The implementation first extracts distinctive features using SIFT, then applies Canny operator for edge enhancement, followed by optimization algorithms to select optimal matching points for vector-based alignment and final image registration.
Comprehensive SIFT-based image registration implementation. Essential learning resource for SIFT algorithm with complete code examples and detailed feature matching workflows.
This MATLAB stereo vision calibration program can be utilized for image registration applications, providing robust camera parameter estimation and alignment capabilities.
A MATLAB-based image registration source code implementation using mutual information metric optimized by particle swarm algorithm, featuring ready-to-use functions and comprehensive parameter customization options.
Please refer to the README file included in the helper package for usage documentation. This demonstrates test examples showing how to use this image registration code, which implements feature-based alignment algorithms including keypoint detection and transformation estimation. Acknowledgments: Test sample image registration code provided by Yaser Sheikh. http://www.cs.cmu.edu/~yaser/
A MATLAB implementation for computing mutual information, specifically designed for image registration tasks. This straightforward yet practical program features histogram-based probability estimation and information theory calculations.
RANSAC Algorithm with mismatch elimination capabilities for image registration applications, including implementation examples and key function explanations to facilitate understanding
Utilizing Fourier transform for image registration in the frequency domain represents a relatively novel registration approach, though it demonstrates limited effectiveness for elastic registration scenarios and requires further investigation. This method involves phase correlation techniques and frequency domain analysis to achieve translational alignment between images.
Image registration program implementation featuring core algorithms and validation procedures for alignment accuracy assessment
Harris_corner_detection - MATLAB implementation of Harris corner detection algorithm source code for feature point extraction and image registration applications. The implementation includes gradient computation, structure tensor calculation, corner response function, and non-maximum suppression.