Hi VMTK users,
this is my first post in this mailing list (probably there will be more),
i'm a new user just starting to use the toolkit.
Now to my questions:
When using the level set segmentation filter in the form of :
vmtklevelsetsegmentation -ifile image_volume_voi.vti -ofile level_sets.vti
assuming none-zero PropagationScaling (w1), CurvatureScaling (w2) and
AdvectionScaling (w3) parameters, which of the Level Set formulation
(proposed on Luca Antiga's PhD thesis) does the implementation use?
(2.19) -w1 G(x) | grad F | + 2 w2 H(x) | grad F | + w3 <[grad P(x)] ,
grad F >
(2.22) -w1 G(x) | grad F | + 2 w2 G(x) H(x) | grad F | + w3 <[grad
P(x)] , grad F >
In the current implementation, are G(x) and P(x) the one proposed on Luca's
thesis?
Correct me if i'm wrong: G and P depend on the so called featured Image
( | grad I(x) | on Luca's thesis), if executing the
vmtklevelsetsegmentation filter as before (without specifying a -
featureimagefile image) Is the featured image used by G and P calculated
automatically (depending on the -featureimagetype parameter with gradient
as default)?
Sorry for my English,
Best of regards
Carlos
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