Binary Image Run-Length Encoding
Binary Image Run-Length Encoding Implementation - Personally tested and verified as fully functional
Audio Signal Framing, Windowing, and Wavelet-Based Watermarking Implementation
The process involves framing and windowing of audio signals, performing 3rd-order wavelet transform on each frame, extracting approximation coefficient averages (typically zero), embedding binary images as watermarks, and implementing blind detection for watermark recovery with code-level implementation insights.
Calculating Principal Axis Length of Objects in Binary Image Geometric Features Using MATLAB
MATLAB implementation for computing principal axis length of objects in binary image geometric feature analysis
MATLAB Boundary Tracing Program
A MATLAB boundary tracing application designed for binary images, which outputs the coordinate points of detected boundaries.
MATLAB Implementation for Target Labeling Functionality
This MATLAB program implements target labeling through image processing, converting images to binary format by superimposing them on black backgrounds using segmentation techniques
MATLAB Program for Circle Detection Using Standard Hough Transform with Specified Radius
This MATLAB program detects circles in binary images using the standard Hough transform method with user-specified circle radius parameters, implementing a robust circle detection algorithm for computer vision applications.
Wavelet Transform-Based Audio Watermarking for Copyright Protection
Audio watermarking implementation using wavelet transforms, embedding binary images for copyright tracking and protection with frequency domain processing capabilities.
Edge Detection in Binary Images Using Sobel Operator Followed by Circle Detection via Hough Transform
This MATLAB implementation demonstrates a two-stage image processing approach: first applying the Sobel operator for edge detection on binary images, then utilizing Hough transform to identify circular objects by determining their center coordinates and radii. The package includes sample images, detailed code explanations, and visual results illustrating the complete workflow.
MATLAB Code for Five Image Processing Categories with Algorithm Implementations
This resource contains five categorized folders: (1) MATLAB Programs - featuring 10+ source codes with detailed注释 aligned with textbook algorithm descriptions; (2) Binary Images - suitable for morphological processing and curve evolution experiments via boundary extraction; (3) Grayscale/Color Images - materials for segmentation, smoothing filters, contrast enhancement, color enhancement, and magnification experiments; (4) Video Clips - demonstrating evolutionary processes including GAC model segmentation using variational level sets, image denoising via P-M equation
Digital Image Processing Experiment Based on Original Image Histogram Analysis
Digital image processing experiment using histogram analysis to determine segmentation threshold at approximately 130, converting grayscale images to binary with optimal segmentation results. Image Processing Experiment (Part 6) - Image Compression and Encoding: Learning JPEG compression encoding through three key steps: DCT transformation for redundancy removal, quantization using quantization tables, and Huffman encoding of quantized coefficients.