Wavelet Packet Denoising for 1D Signals
Wavelet packet denoising implementation for one-dimensional signals featuring optimal threshold selection and adaptive wavelet basis optimization
Optimizing BP Neural Network Weights and Thresholds Using Genetic Algorithms
Training BP Neural Network Weights and Thresholds with Genetic Algorithm Optimization
Wavelet Threshold Denoising
Wavelet Threshold Denoising: Implementation techniques and applications in signal processing
Image Denoising Using Wavelet Transform
Utilizing wavelet transform for image denoising by applying thresholding techniques. The process involves a 2-level wavelet decomposition of the image followed by hard and soft thresholding methods to remove noise from high-frequency components. Implementation typically involves using wavelet functions like 'db4' or 'sym8' and threshold calculation methods such as Universal Threshold or SURE threshold.
Determining Image Binarization Threshold via Maximum Entropy Method with Input Image Name
Implementation of maximum entropy method for calculating image binarization threshold using input image name, reading image file M to statistically analyze probability distribution of gray levels
Image Processing Source Code Collection
A MATLAB-based source code collection for image processing, featuring implementations for thresholding, binarization, grayscale transformations, edge detection, and various other fundamental operations with algorithm-specific optimizations.
Skin Gaussian Model with Trained Threshold for Detection
A custom-developed program featuring a GUI interface that implements a self-built skin Gaussian model. The model utilizes trained thresholds to perform skin region segmentation in the YCbCr color space, with code handling color modeling and threshold-based classification.
Optimization of BP Neural Network Weights and Thresholds Using Genetic Algorithm
This approach utilizes genetic algorithms to optimize the weights and thresholds of a BP neural network, followed by comprehensive training to develop a predictive model. The process includes practical implementation examples with code-related enhancements.
Advancements in Haar Feature Extraction for Face Detection Algorithms
We have significantly enhanced the face detection algorithm by leveraging cumulative probability distribution points as threshold parameters in weak classifiers, improving classification efficiency through optimized histogram analysis.
Wavelet Transform Implementation and Image Compression via Thresholding in MATLAB
In developing MATLAB programs for wavelet transforms and threshold-based image compression, my classmates and I adopted a learn-as-we-go approach, progressively mastering wavelet concepts and MATLAB programming through problem-solving. I'm eager to share our troubleshooting experiences and implementation strategies to assist others facing similar challenges in digital signal processing and image compression workflows.