MATLAB Implementation of Harris Corner Detection Algorithm
A custom-developed MATLAB code for Harris corner detection with implementation details
Explore MATLAB source code curated for "代码" with clean implementations, documentation, and examples.
A custom-developed MATLAB code for Harris corner detection with implementation details
Remove background from signals in MATLAB using advanced morphological operations to enhance foreground detection accuracy. This package includes three implementation files (.M) with complete algorithms and one sample image for demonstration.
Highly versatile and straightforward amplitude-phase modulation/demodulation code implementation with clear algorithmic structure - definitely worth studying and sharing with the community!
An image classification program using BP neural networks, featuring well-documented code suitable for beginners. The implementation uses a manageable dataset size for educational purposes, demonstrating core backpropagation algorithms with clear matrix operations and activation functions.
This MATLAB-based virtual signal generator source code enables generation of arbitrary waveforms including sine, square, triangular waves, and white noise with configurable frequency, amplitude, and duration parameters.
MATLAB implementations of MRF (Markov Random Field) algorithms for image processing tasks including image segmentation, denoising, and restoration.
MATLAB-based handwritten digit recognition code implementation using advanced machine learning algorithms, featuring high accuracy rates and user-friendly interface design.
A comprehensive guide to white noise generation methods, including fully debugged implementations with complete datasets and code examples.
Complete EM algorithm source code implementation, including execution results and comprehensive experimental report with performance analysis
Code implementations for estimating correlation dimension, including: G-P algorithm (corrint.m) with point-wise correlation integral calculation, Gaussian kernel association algorithm (gka.m) using smooth kernel functions, and Judd algorithm (judd.m) implementing advanced statistical estimation techniques.