Image Segmentation Program
This program implements advanced image segmentation techniques to extract objects from target images using pixel classification and boundary detection algorithms.
MATLAB Implementation of the K-Medoids Clustering Algorithm
K-Medoids Clustering Algorithm: An object-based clustering approach using medoids as cluster representatives. Implementation steps include medoid initialization, data point assignment, and iterative medoid swapping based on cost minimization. This method is robust to noise and outliers, suitable for small datasets.
MATLAB-Based Image Classification Software
An image classification software developed using MATLAB, capable of object classification and matching recognition with comprehensive algorithmic workflows including preprocessing, feature extraction, and model training/testing.
Fuzzy Adaptive Control for Inverted Pendulum System Using MATLAB
This implementation provides MATLAB S-functions for both the inverted pendulum plant and fuzzy adaptive controller, along with complete Simulink module files. The fully functional inverted pendulum program demonstrates practical implementation of fuzzy adaptive control algorithms, making it valuable for academic research and publications.
S-functions for Fuzzy Adaptive Control of Inverted Pendulum System: Plant and Controller Implementation
This project implements MATLAB S-functions for both the plant model and fuzzy adaptive controller of an inverted pendulum system, complete with Simulink module files. The fully functional program demonstrates fuzzy adaptive control implementation using MATLAB's S-function architecture, making it valuable for research publications and practical control theory applications.