Explore MATLAB source code curated for "提取" with clean implementations, documentation, and examples.
Designing a digital signature watermarking algorithm based on HASH (SHA-1) principles to implement embedding, extraction, and verification processes with code-level implementation insights.
Implementation of QR code image extraction from mobile phone-captured images, including rotation and correction of QR codes. Can also be adapted for other barcode types, though with potentially reduced effectiveness compared to QR code performance.
Digital watermark embedding algorithm, featuring multi-resolution watermark embedding and extraction techniques, blind watermark embedding and detection algorithms, along with implementations for calculating Peak Signal-to-Noise Ratio (PSNR) and Normalized Cross-Correlation Coefficient (NCC) for quality assessment.
MATLAB implementation for extracting image texture features including variance, entropy, angular second moment, with code demonstrations and algorithm explanations.
A MATLAB implementation of an improved Least Significant Bit (LSB) algorithm featuring both data hiding and extraction functionalities. The implementation uses the standard Lena test image as a sample carrier, successfully embeds secret information, and accurately retrieves the hidden data through the extraction algorithm. Code includes pixel manipulation techniques and bit-plane operations.
Implementation code for fully polarimetric interferometric SAR image classification algorithm (full_wishartdec) - featuring advanced image processing and classification capabilities
An automated algorithm for extracting structural contour skeletons from images, compatible with both 2D and 3D implementations, verified through practical testing
Using MIT-BIH database data as the source for QRS complex extraction from ECG signals with implementation methodologies
Image coordinate extraction in Zhang's camera calibration method - A novel approach combining deep learning and geometric techniques with implementation insights
Application Context: Road identification and extraction. Key Technology: Utilizes Convolutional Neural Network (CNN) approach for highly effective road recognition and extraction, specifically designed for non-remote sensing imagery.