LSB Steganography Implementation for WAV Audio Files
LSB-based information hiding in WAV audio files using binary images as hidden data, implemented with MATLAB programming including signal processing and bit manipulation techniques
Explore MATLAB source code curated for "二值图像" with clean implementations, documentation, and examples.
LSB-based information hiding in WAV audio files using binary images as hidden data, implemented with MATLAB programming including signal processing and bit manipulation techniques
This region growing-based program is primarily designed for false alarm elimination and can calculate the area of each connected component in binary images. The implementation utilizes connected component analysis with seed point selection and neighborhood pixel aggregation.
MATLAB-coded programs featuring morphological gradient-based edge detection for binary images and watershed thresholding method for image segmentation, with implementation details on key functions and algorithmic approaches.
Wavelet threshold denoising technique with MATLAB implementation, providing filtering for grayscale and binary images using wavelet decomposition and thresholding algorithms.
Denoising grayscale and binary images using a morphological filter, which employs fundamental morphological operations to enhance image quality.
Image segmentation using Support Vector Machine (SVM) with OTSU thresholding produces excellent results, directly generating binary images with enhanced feature extraction and classification capabilities
A MATLAB program implementing run-length encoding for binary images, demonstrating significant compression effects for binary image data through efficient pixel sequence encoding.
Fundamental image processing operations: reading images, edge detection in grayscale images, boundary pixel extraction in binary images, blurring operations, frame processing, and image type conversions with code implementation examples.
Performing boundary extraction on binary images to generate 8-directional chain codes, with implementation capabilities for calculating frequency statistics of chain code elements
Binary image thinning processing developed in MATLAB environment, providing convenient and effective image processing solutions with enhanced algorithm implementation details