MATLAB Toolbox for Level Set Methods

We present a comprehensive MATLAB toolbox named LevelSet, designed to facilitate understanding and application of Level Set methodology. The toolbox includes detailed documentation and multiple practical examples that demonstrate Level Set implementations across various domains, including image segmentation algorithms using active contours, shape reconstruction techniques with curvature flow, and motion estimation through gradient descent optimization. Each example program contains modular functions for key operations such as re-initialization procedures, narrow band implementations, and velocity field calculations. Additionally, users can explore different Level Set variants including distance regularized models and sparse field methods, while having full access to parameter tuning interfaces for convergence control and adaptive time-stepping optimization. The toolbox architecture supports both educational exploration through commented code structures and research applications via extensible class designs. Suitable for beginners through advanced users, it provides efficient GPU-accelerated computations for large-scale problems and includes visualization modules for real-time evolution monitoring.