MATLAB Implementation of Snake Model - Active Contour Model

The Snake Model is a widely-used algorithm in image processing, commonly referred to as the Active Contour Model. This model performs adaptive boundary segmentation in images, enabling improved object detection and image segmentation through energy minimization techniques. The implementation utilizes MATLAB's image processing toolbox and employs key functions for contour initialization, energy calculation, and iterative optimization. Key algorithmic components include internal energy (contour smoothness), external energy (image gradient forces), and constraint energy (user-defined constraints). Our provided MATLAB code demonstrates the complete workflow with configurable parameters for alpha (tension), beta (rigidity), and gamma (step size). Additionally, we include the original research paper to facilitate deeper understanding and further investigation of the algorithm. Before using this code, users should have fundamental knowledge of MATLAB programming and theoretical foundations of Active Contour Models, including energy functional minimization and numerical implementation methods.