Explore MATLAB source code curated for "注释" with clean implementations, documentation, and examples.
This MATLAB source code implements image edge detection based on ant colony optimization algorithm, featuring comprehensive comments for learning and reference purposes. The code demonstrates how artificial ants simulate natural foraging behavior to detect image edges effectively.
MATLAB image segmentation example detecting moving cars, implemented using built-in library functions with detailed comments for easy understanding and implementation
A comprehensive MATLAB program for fuzzy clustering with detailed code comments, providing valuable learning resources for beginners to understand algorithmic implementation approaches
This project contains multiple .m files with comprehensive comments for easy understanding. You can modify parameters and extend functionality according to your specific requirements. Suitable as a reference for graduation projects. Note: Avoid using images with uniform color distribution; diverse image content works better.
k-means clustering with MATLAB featuring detailed code annotations, visualization examples, and comprehensive documentation including implementation insights and result analysis
With various camera types available today, images captured by fisheye cameras often exhibit distortion, requiring fisheye image correction. This program implements fisheye image rectification through distortion parameter calibration and coordinate transformation algorithms. The code contains detailed comments explaining key functions like camera calibration and radial distortion correction, making it accessible to developers with basic computer vision knowledge. Currently, the interpolation component requires further implementation for complete functionality.
Source code for Particle Swarm Optimization (PSO) enhanced Backpropagation (BP) neural network, featuring comprehensive author annotations and algorithm implementation details.
A MATLAB program designed for image filtering that effectively removes severe salt-and-pepper noise, featuring comprehensive annotations for easy understanding of the implementation logic and algorithmic approach.
Various camera types exist in the market, with fisheye cameras often producing distorted images requiring correction. This MATLAB-based fisheye image correction program contains detailed annotations and is designed to be understandable for users with basic technical background. The implementation includes two main files: BasedLineINDrictC100.m for baseline correction and Yuan.m for circular distortion processing.
Implementation of Kalman filtering algorithm supporting multi-dimensional data input/output with comprehensive code annotations.