Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
This repository contains self-implemented source code for a chaotic differential evolution algorithm along with a research paper discussing its methodology and applications, designed to assist beginners in understanding this optimization technique.
Implementation of moving object tracking using mean-shift algorithm with practical code examples and technical insights
MATLAB neural network source code for digit recognition implementation, featuring comprehensive code annotations and detailed algorithm explanations.
A classic scale-invariant feature transform (SIFT) image feature matching algorithm implementation. This package includes detailed explanations and demonstration code adapted from international sources, featuring comprehensive line-by-line comments for easy code modification and extension.
Source code implementation for mutual information-based image registration with Particle Swarm Optimization (PSO) algorithm
MATLAB source code for interest point detection, designed for action recognition applications with enhanced image processing capabilities
Implementation of iterative watershed segmentation algorithm utilizing edge detection techniques, featuring complete MATLAB/Python source code with detailed comments, sample images demonstrating segmentation results, and practical applications in computer vision projects.
MATLAB-based motion detection and tracking algorithms with comprehensive code implementation and technical documentation
Source code for simulating radar clutter, provided in M-file format with detailed implementation of signal processing algorithms
The package provides complete source code accompanied by detailed explanations in TXT and Word formats, including comprehensive instructions for using the SVM toolbox. It covers various SVM classification algorithms with in-depth explanations. The implementation contains two practical examples and an optimizer module, offering both traditional SVM classification and an enhanced newsvm classification method for broader application scenarios.