mirror of https://github.com/CGAL/cgal
add more details about how to choose sigma
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@ -296,7 +296,13 @@ CGAL::Image_3 generate_label_weights_with_known_word_type(const CGAL::Image_3& i
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*
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* @param image the input labeled image from which the weights image is computed.
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* Both will then be used to construct a `Labeled_mesh_domain_3`.
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* @param sigma the standard deviation parameter of the internal Gaussian filter
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* @param sigma the standard deviation parameter of the internal Gaussian filter,
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* measured in real-world distances. The size of a voxel (e.g. shortest length
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* or longest length) usually is a good value for this parameter.
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* Note that if `sigma` is too small, the "stair-effect" of meshing from
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* a voxel image can appear. On the other side, if `sigma` is too large,
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* thin volumes (basically one voxel thick) may be lost in the meshing process
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* because the computed weights are too blurry.
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*
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* @returns a `CGAL::Image_3` of weights used to build a quality `Labeled_mesh_domain_3`,
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* with the same dimensions as `image`
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