Chan-Vese (C-V) Model for Level Set Segmentation Algorithm
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Resource Overview
MATLAB source code implementation of the Chan-Vese level set segmentation algorithm with detailed energy minimization and curve evolution functions
Detailed Documentation
The Chan-Vese (C-V) model for level set segmentation algorithm is a widely used image segmentation method that partitions image pixels into distinct regions to achieve precise image segmentation. This algorithm employs the Chan-Vese model, which utilizes level set methods to minimize an energy functional through curve evolution. The MATLAB source code provides practical implementation of key components including the initialization of level set functions, calculation of region-based energy terms, and iterative evolution using partial differential equations. The code demonstrates how to handle intensity inhomogeneity through regional mean calculations and implements regularization terms for smooth boundary evolution. This implementation makes the algorithm more accessible for understanding and application in various image processing scenarios.
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