Video Shot Detection
This video shot detection code includes comprehensive experimental data comparisons for performance evaluation.
Explore MATLAB source code curated for "提取" with clean implementations, documentation, and examples.
This video shot detection code includes comprehensive experimental data comparisons for performance evaluation.
High Voltage Direct Current (HVDC) Implementation in Wind Power Systems using Simulink
HVS-based wavelet-domain digital image watermarking includes watermark embedding, extraction, decomposition, and reconstruction processes with multi-resolution analysis implementation
Implementation of audio watermark embedding and extraction using mean quantization in wavelet domain with strong robustness properties
MATLAB-based source code for weak signal extraction, detection, and analysis. The implementation first computes key statistical parameters including mean, mean square value, variance, frequency spectrum, and power spectral density of input signals to identify useful signal components. Subsequently, it extracts target signals and calculates their statistical properties (mean, mean square value, variance, probability density) along with spectral characteristics (frequency spectrum and power spectral density), accompanied by visualization of corresponding curves using MATLAB's plotting functions.
This RANSAC implementation serves as an essential component for image matching, enabling more sophisticated matching capabilities through robust outlier rejection and model parameter optimization.
A custom-developed GUI application for face recognition, featuring multiple facial analysis capabilities with robust implementation techniques.
Face region detection with rectangular bounding box marking - implementing automated face localization in images using MATLAB's Computer Vision Toolbox functions like vision.CascadeObjectDetector.
This is the most basic LSB (Least Significant Bit) algorithm for digital watermarking, featuring complete embedding and extraction functions with verified correct operation. Tested execution environment: MATLAB 6.5. The implementation demonstrates fundamental watermark hiding techniques using bit-level manipulation in grayscale images.
Image template matching calculation involves pixel-by-pixel movement to compute current template data and extract image feature points using correlation-based algorithms