Explore MATLAB source code curated for "活动轮廓模型" with clean implementations, documentation, and examples.
This MATLAB implementation showcases a fast global minimization algorithm based on active contour models, providing valuable insights into modern image processing techniques through practical code demonstration.
MATLAB source code for "Implicit Active Contours Driven by Local Binary Fitting Energy" (LBF Model), a crucial local region active contour model widely applied in MRI brain image segmentation, vascular image segmentation, and image bias field correction, featuring energy minimization algorithms and level set implementation.
Implementation of an efficient image segmentation approach using graph cut algorithms combined with active contour models. This MATLAB-based solution provides a robust framework for handling complex image segmentation challenges through energy minimization techniques.
This image segmentation algorithm utilizes active contour models with detailed implementation including curve evolution mechanisms, energy minimization functions, and convergence criteria. The attached paper in the compressed package covers algorithmic principles, implementation steps involving level-set methods or snake algorithms, and experimental evaluations across diverse datasets.
Introduction to the fundamental principles of active contour models, accompanied by MATLAB programs developed by the author based on original research papers.