Features of the toolbox:
(1) The toolbox includes classic level-set methods such as geodesic active contours (GAC), Chan-Vese model and a hybrid model combining the boundary and regional terms.
(2) All the methods are implemented with the semi-implicit solver AOS which can guarantee the stability of the numerical methods even with very large time steps, thus boosting the efficiency for level-set based segmentation.
(3) All the methods can be applied to 2D and 3D data.
引用格式
Yan Zhang (2024). 2D/3D image segmentation toolbox (https://www.mathworks.com/matlabcentral/fileexchange/24998-2d-3d-image-segmentation-toolbox), MATLAB Central File Exchange. 检索时间: .
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- Image Processing and Computer Vision > Image Processing Toolbox > 3-D Volumetric Image Processing >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
- Industries > Medical Devices > DICOM Format >
- Mathematics and Optimization > Partial Differential Equation Toolbox > General PDEs > Visualization >
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致谢
启发作品: pcolor3
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