SIFT Corner Detection and Matching in Images
MATLAB code implementation for SIFT-based corner detection and feature matching, fully tested and verified for correct operation with detailed algorithm explanations
Explore MATLAB source code curated for "检测" with clean implementations, documentation, and examples.
MATLAB code implementation for SIFT-based corner detection and feature matching, fully tested and verified for correct operation with detailed algorithm explanations
Establishment of mathematical models for ECG signal simulation, including detection of electrocardiogram waveform patterns
Implementation of SIFT feature point detection and image stitching functionality, built upon the original author's work with added capabilities to display all feature points or only overlapping region feature points. Includes enhanced algorithms for direct practical use with improved customization options.
MATLAB simulation implementation of fractional Fourier transform for detecting and estimating parameters of single-component linear frequency modulation (LFM) signals, featuring algorithm optimization and performance analysis code descriptions.
A fully debugged moving object tracking and detection program with optimized performance and broad applicability, ready for reliable implementation across various scenarios.
MATLAB implementation of Duffing equation for weak signal detection, featuring two methodological approaches: inline function definition and @fan function implementation with parameter optimization capabilities.
Implementation and simulation analysis of multiple spectrum detection algorithms based on parametric and non-parametric approaches, including performance evaluation and practical applications.
This technique enables human motion detection in videos through multiple spatiotemporal features, with implementations involving frame differencing, optical flow computation, and feature extraction algorithms.
This program effectively detects and extracts image edges using wavelet modulus maxima, achieving optimal results through multiscale gradient analysis and local extremum identification.
Digital image watermarking processing based on DCT domain has been tested and validated to achieve effective watermark detection functionality with robust implementation algorithms.