Hi Sebastian, mitk::ManualSegmentationToSurfaceFilter is indeed the correct
Filter. vtkCleanPolydata only removes duplicate points, it will not reduce the
number of polygons. vtkDecimatePro is the Filter that will reduce the number of
polygons. But this filter is already used by
mitk::ManualSegmentationToSurfaceFilter, so there is no need to apply it again.
I suggest to turn on image and polydata smoothing, turn on decimation, turn off
the median filter (important!) and play around with the smoothing and
decimation parameters.
Kitware's Paraview application allows you to apply these filters interactively
to a surface to find the optimal parameters.
Best Regards,
Jochen
Von: Sebastian Klein [mailto:[email protected]]
Gesendet: Freitag, 5. März 2010 15:12
An: [email protected]
Betreff: [mitk-users] point reduction in surface model
Dear all,
my name is Sebastian and I'm a computer science student who is writing his
bachelor thesis.
I use itk, vtk and mitk for the first time. I have to create a surface model
from CT data for further use with a multibody simulation software.
The class ManualSegmentationToSurfaceFilter works quite well for my task. But
there is a performance problem when I use the surface model in my simulation
software. So, I have to reduce the points of my surface model (only reducing
the polygons with the help of SetTragetReduction doesn't improve the
performance a lot). But I didn't find a class within mitk for that. Am I
missing a class?
VTK offers the class vtkCleanPolyData - sounds like what I'm searching for. The
"pipeline" I want to use:
mitk surface to vtk surface -> vtkCleanPolyData -> vtk surface to mitk surface
Does this kind of approach fit? Which classes do you suggest I should use to
convert the surface to a vtk surface and back to mitk surface? Perhaps, you can
also offer me a better way to solve my problem.
Any help is really appreciated!
Sebastian
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