Level Set-Based Color Image Segmentation

This MATLAB implementation provides a comprehensive solution for color image segmentation using level set methods. The algorithm processes color images by evolving a contour through partial differential equations to accurately separate regions of interest. The package includes well-documented source code featuring key functions for implementing the level set evolution, curvature calculation, and region-based energy minimization. The implementation supports various color spaces (RGB, HSV) and includes adaptive parameter tuning for different image characteristics. Test images are provided to demonstrate the algorithm's effectiveness in handling complex color boundaries and textured regions. Users can modify the energy functional and initialization parameters to adapt the segmentation to specific applications. This implementation serves as an excellent educational resource and practical tool for researchers and developers working on computer vision and medical image analysis projects. The modular code structure allows easy integration with existing MATLAB image processing workflows and provides a solid foundation for developing advanced segmentation techniques.