MATLAB Implementation for License Plate Recognition
A comprehensive MATLAB license plate recognition system with sample images for processing and testing
MATLAB Code Implementation for UWB Channel Simulation
A comprehensive UWB channel simulation program featuring multiple algorithms and configurable parameters
MATLAB Implementation of Particle Filter Tracking Algorithm
This robust particle filter tracking demo features validated code implementation with comprehensive debugging, suitable for object tracking applications in autonomous systems and motion analysis.
SIFT Feature Detection and Matching MATLAB Implementation
Latest MATLAB code for SIFT (Scale-Invariant Feature Transform) algorithm with comprehensive documentation, featuring robust performance in image feature extraction, keypoint detection, and descriptor matching implementations.
MATLAB Function Implementation: Mean Filter with Configurable Window Sizes
A MATLAB-implemented mean filtering function supporting customizable window sizes such as 3×3, 5×5, and other dimensions for image noise reduction and smoothing operations.
MATLAB Implementation for Image Inpainting
An image inpainting program specifically designed for removing large objects from images, utilizing user-drawn masks to fill resulting gaps with advanced reconstruction algorithms.
MATLAB Implementation of Fuzzy Control Tables
This comprehensive fuzzy control table implementation demonstrates complete fuzzy control system design, featuring Simulink simulation integration. Ideal for beginners learning fuzzy control concepts and MATLAB/SIMULINK implementation techniques, including membership function configuration and rule base development.
MATLAB Code Implementation of Wiener Filter
MATLAB program code for implementing Wiener filter with signal processing applications.
FFT-Based Interpolated Frequency Estimation Algorithm with MATLAB Implementation
Interpolated frequency estimation algorithm utilizing FFT methodology, complete with MATLAB source code for accurate signal frequency analysis.
MATLAB Code for Shadow Detection Using Illumination-Invariant Transformation
Background: This shadow detection method was proposed by Mr. J.W. Hofstee and Mr. E.J. Hanten in their paper "Shadow Segmentation Based on Image Transformation for Illumination Changes" presented at the International Conference on Agricultural Engineering in Zurich (July 6-10). Key Technology: Implements shadow detection through illumination-invariant image transformation. The algorithm successfully detects shadows in certain images but shows varying performance across different image types, indicating potential areas for optimization in practical implementations.