Artificial Neural Network Implementation Example with MATLAB
MATLAB-based artificial neural network example featuring image processing capabilities and comprehensive code annotations
Image Processing Using Compressed Sensing Principles with Orthogonal Matching Pursuit Reconstruction
Applying compressed sensing principles for image processing and reconstruction through orthogonal Matching Pursuit algorithm with code implementation considerations
Image Processing Using the BoundingBox Function in regionprops
Utilizing the BoundingBox function in regionprops to process images and obtain X, Y coordinates along with width and height dimensions
Wavelet-Based Feature Extraction for Processed Images
A MATLAB program for performing wavelet-based feature extraction on processed images, featuring efficient implementation and user-friendly interface!
MATLAB Code Implementation for Edge Detection
A MATLAB-based edge detection program successfully detects edges in Olympic opening ceremony images, verified to run properly in MATLAB 6 environment with implementation details on algorithms and key functions.
Face Detection and Annotation in Images using MATLAB
Implementation of face detection and annotation in images using MATLAB, featuring computer vision techniques and image processing algorithms.
MATLAB Implementation for License Plate Recognition
A comprehensive MATLAB license plate recognition system with sample images for processing and testing
GMM Background Modeling with Video Processing
This implementation extends the original BMP framework to process video streams. The MATLAB code establishes 3-5 Gaussian mixture models, performs real-time frame matching, and continuously updates the models for dynamic background modeling. The algorithm handles image processing tasks through probabilistic foreground detection. If you believe this code infringes upon any rights, please contact me for discussion.
MATLAB Camera Integration and Image Processing Code Implementation
MATLAB camera interface setup and image capture functionality with subsequent image processing operations including filters, brightness/contrast adjustments, and image enhancement techniques