MATLAB Code Implementation for SIFT Feature Extraction
SIFT feature extraction algorithm implementation for dense-SIFT features extraction, featuring fast computation, clear code structure, and excellent performance for computer vision applications
Artificial Bee Colony Algorithm Implementation and Improvements
Enhanced Artificial Bee Colony Algorithm Source Code Featuring Improved Convergence Performance Compared to Standard Implementations
High-Speed Subpixel Image Registration in MATLAB
This MATLAB project implements a computationally efficient subpixel image registration algorithm using cross-correlation with a modified moment method for enhanced precision. The implementation provides both source code and practical examples demonstrating rapid alignment of images with subpixel accuracy, featuring optimized correlation calculations and peak localization techniques.