Implementation of BP Neural Network in MATLAB
Convenient Implementation of Backpropagation Neural Network in MATLAB - An Effective Method
Multi-Target Tracking Implementation Using CPHD Method
Implementation of multi-target tracking using the CPHD approach with performance analysis and evaluation methodologies, including code implementation strategies and key algorithm components.
Non-Local Means Filtering Method for Image Denoising with MATLAB Implementation
This presents an advanced non-local means filtering method for image denoising, implemented through MATLAB code. The algorithm effectively reduces noise while preserving image details through pixel similarity analysis across image regions.
Wavelet Threshold Denoising Method for Images
The wavelet threshold denoising method is a leading technique in image denoising that leverages the distinct characteristics of sub-band images after wavelet decomposition, applying different thresholds to achieve superior noise reduction results.
Automatic Threshold Segmentation Method Using Image Entropy
An image entropy-based automatic threshold segmentation approach that offers simplicity and fast processing speed, with sample implementation considerations
Research on Face Recognition Methodology
Investigation of Face Recognition Technology Combining Local Ternary Pattern Features with Distance Transform-Based Similarity Metrics
MATLAB Image Processing Toolkit Implementation
A comprehensive image processing toolkit implementing fundamental algorithms with beginner-friendly code examples and detailed method explanations
Image Segmentation Method Based on Curvature Calculation
A curvature-based image segmentation method executable in MATLAB with enhanced algorithm implementation details
Methods for Diagnosing Weak Fault Signals in Rolling Bearings
A comprehensive approach for diagnosing weak fault signals in rolling bearings using five source files: Minimum Entropy Deconvolution algorithm implementation, adaptive noise cancellation method for bearing signal processing, Case Western Reserve University bearing data analysis, and supporting auxiliary tools for signal acquisition and processing.
MATLAB Implementation of Adaptive Thresholding for Image Segmentation
An adaptive thresholding algorithm implementation in MATLAB that effectively separates foreground from background under non-uniform illumination conditions, addressing key challenges in image segmentation. The method employs local statistical analysis to determine optimal thresholds for different image regions.