Hi, <br><br>I would like to do 3D segmentation on noisy medical images.
The aim is to obtain at the end a binarized image volume where voxels
that correspond to tissue are set to 1 and the background voxels are set
to 0. I can consider that the object is uniform, but I have to
eliminate the noisy voxels on the background and after segmentation I
need to fill the holes on the object that I'll get during the
segmentation process.<br>
As I'm using C++, I think that I can find on ITK and VTK some of the
tools I need, but it is not clear for me which tools are more
appropriate and when shall I use ITK or VTK for some of the steps.<br>So
far, I'm trying to find out if ConnectedThresholdImageFilter (ITK),
FillHolesFilter (VTK) and PolyDataToImageData (VTK) are of any use on
this.<br>
I appreciate any help. <br><br>Regards,<br>Claudia