Self-Developed Balloon Snake Model Implementation

In this article, I present my self-developed implementation of the balloon SNAKE model. The development process involved substantial time investment in designing the algorithm architecture and optimizing its performance. The core implementation utilizes active contour modeling with balloon force components, where the algorithm dynamically evolves the contour based on energy minimization principles. Key functions include gradient vector flow calculations and curvature-based smoothing operations to maintain contour stability. Throughout the coding phase, I addressed challenges including numerical stability in partial differential equation solving and parameter tuning for optimal boundary detection. The implementation successfully handles various boundary conditions through adaptive inflation forces controlled by pressure parameters. I believe this implementation demonstrates robust performance in segmenting complex boundaries and offers potential for further enhancements like multi-scale processing or GPU acceleration. The code structure allows modular improvements, and I hope it serves as a valuable reference for researchers working on deformable models in image processing.