The LGIF Model: A Highly Significant Local Region Active Contour Model
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Resource Overview
This repository contains MATLAB source code for "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (commonly known as the LGIF model). The LGIF model represents a crucial advancement in local region active contour models by combining the strengths of both the Chan-Vese (CV) model and Local Binary Fitting (LBF) model. The implementation includes key functions for energy minimization, level set evolution, and intensity fitting operations.
Detailed Documentation
This documentation provides MATLAB source code for "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (known as the LGIF model). This model represents a significant advancement in region-based active contour models, building upon and enhancing both the CV and LBF models to incorporate their respective advantages. The implementation features sophisticated energy functional computation and level set evolution algorithms that enable more precise brain MR image segmentation, thereby facilitating better understanding of brain structure and function. The code architecture includes modular functions for local intensity fitting, global energy minimization, and contour regularization. We are committed to continuously updating and improving this source code to provide users with more efficient and accurate segmentation tools. Thank you for using our implementation!
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