Multiphase Level Set Image Segmentation Algorithm

This document introduces a multiphase level set-based image segmentation algorithm that demonstrates high efficiency in rapidly processing image segmentation tasks. The implementation utilizes multiple level set functions to represent different regions simultaneously, allowing for complex boundary detection through PDE-based evolution equations. While the algorithm already delivers strong performance, continuous parameter adjustment can further enhance segmentation quality. The code structure includes key components such as the initialization of level set functions, curvature-based speed functions, and reinitialization procedures to maintain stable evolution. This versatile algorithm finds applications across various domains including medical image processing, natural image segmentation, and computer vision tasks, making it an excellent choice for diverse image segmentation requirements. The implementation features optimized numerical schemes for solving partial differential equations, ensuring both accuracy and computational efficiency.