Interactive Multiple Model Target Tracking Using UKF and EKF Filters
Interactive Multiple Model Target Tracking with UKF and EKF Filters (includes practical code examples and relevant research papers)
Interactive Multiple Model Algorithm
MATLAB implementation of the Interactive Multiple Model algorithm for hybrid system estimation, featuring multi-model approach with model transition logic and probabilistic weighting for enhanced tracking performance in filter design.
Interactive Multi-Model UKF and EKF Filtering Program in MATLAB
MATLAB interactive multi-model UKF and EKF filtering program with comprehensive documentation
Interactive Multiple Model Algorithm Kalman Filter Simulation
Interactive Multiple Model Algorithm Kalman Filter simulation code, featuring implementation with two distinct models and dynamic switching capabilities
Interactive Image Segmentation Based on Maximum Similarity Region Merging
Code Implementation: This program implements interactive image segmentation for region merging using maximum similarity criteria. The code has been rigorously tested and is fully functional, featuring region adjacency analysis, similarity calculation using color/texture features, and merge priority queue management.
MATLAB Implementation of Color Image Segmentation Using K-means Clustering
Color image segmentation with excellent performance. This function applies k-means clustering to input RGB images (dimensions m x n x 3). It requires two primary inputs: IMGIN (input image) and NCLUSTERS (number of clusters), and implements an interactive color segmentation workflow using k-means algorithm with user-defined color selection through interactive prompts.
Interactive Image Matting
MATLAB-based interactive image matting program implementing Poisson, Hillman, and Ruzon algorithms with source images and code implementations