Level Set Segmentation Algorithm Implementation

This presents a MATLAB implementation of the Level Set segmentation algorithm developed by Chunming Li. The Level Set method is an advanced technique for image segmentation that evolves a contour through iterative optimization to achieve precise boundary detection. This MATLAB implementation includes core functions for initializing the level set function, computing curvature-driven flows, and implementing reinitialization procedures to maintain stable evolution. The code demonstrates key algorithmic components such as the signed distance function calculation, gradient descent optimization, and regularization terms for smooth contour evolution. Chunming Li, a renowned expert in level set methodologies, has contributed significantly to advancing this field through his research on efficient numerical schemes and practical applications. This implementation serves as a valuable resource for researchers and developers to understand the mathematical foundations, experiment with parameters, and apply level set methods to various image segmentation tasks. The code structure facilitates customization of evolution speed functions, regularization parameters, and termination criteria based on specific application requirements.