Explore MATLAB source code curated for "平滑" with clean implementations, documentation, and examples.
Complete fingerprint recognition source code featuring comprehensive image preprocessing workflow including smoothing, noise removal, and thinning/skeletonization algorithms. This implementation provides detailed guidance for beginners to learn fingerprint recognition technology through practical code examples.
Bilateral filtering effectively smooths noisy images while preserving edge information through a weighted averaging approach based on both spatial proximity and intensity similarity.
Mean Shift algorithm implementation for image segmentation and smoothing, demonstrated using example images of horses with code-level insights.
ECG signal simulation models involving signal processing techniques such as filtering and smoothing operations
This example demonstrates wavelet ridge extraction using the modulus maximum method, featuring two distinct wavelet ridges that require specialized ridge extraction techniques. A penalty function is implemented to control the lambda parameter, resulting in smoother and more stable ridge detection. The implementation involves identifying local maxima in the wavelet transform modulus and applying regularization for optimal ridge continuity.
This program implements sliding window-based smoothing and noise reduction for 1D curves, allowing users to select appropriate window widths based on useful signal frequencies while providing visualization of processing results.
This package provides implementations for image smoothing and sharpening, featuring multiple methods including mean filtering, median filtering, order-statistic filtering for smoothing, and Sobel operator along with high-pass filtering for sharpening, with detailed code explanations for each algorithm.
Perform SPWVD analysis on your experimental data using signal processing techniques before proceeding with further analysis steps