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# INPUTS: {BrainProtonDensitySlice.png}
# OUTPUTS: {ResampleImageFilterOutput1.png}
# 0
# INPUTS: {BrainProtonDensitySlice.png}
# OUTPUTS: {ResampleImageFilterOutput2.png}
# 1
# INPUTS: {BrainProtonDensitySlice.png}
# OUTPUTS: {ResampleImageFilterOutput3.png}
# 2
# INPUTS: {BrainProtonDensitySlice.png}
# OUTPUTS: {ResampleImageFilterOutput4.png}
# 3
import itk
from sys import argv, stderr, exit
itk.auto_progress(2)
# if( len(argv) < 3 ):
# print >> stderr, """Missing Parameters
# Usage: ResampleImageFilter.py inputImageFile outputImageFile [exampleAction={0,1,2,3}]"""
# exit(1)
dim = 2
SOType = itk.SpatialObject[dim]
InternalImageType = itk.Image[itk.F, dim]
OutputPixelType = itk.UC
OutputImageType = itk.Image[OutputPixelType, dim]
ellipse = itk.EllipseSpatialObject[dim].New( Radius=[10,5] )
ellipse.GetObjectToParentTransform().SetOffset( [20,20] )
ellipse.ComputeObjectToWorldTransform()
box = itk.BoxSpatialObject[dim].New( Size=20 )
box.GetObjectToParentTransform().SetOffset( [20,40] )
box.ComputeObjectToWorldTransform()
gaussian = itk.GaussianSpatialObject[dim].New( Radius=100 )
gaussian.GetObjectToParentTransform().SetOffset( [60,60] )
gaussian.GetObjectToParentTransform().SetScale( 10 )
gaussian.ComputeObjectToWorldTransform()
group = itk.GroupSpatialObject[dim].New()
group.AddSpatialObject( ellipse.GetPointer() )
group.AddSpatialObject( box.GetPointer() )
group.AddSpatialObject( gaussian.GetPointer() )
filter = itk.SpatialObjectToImageFilter[SOType, InternalImageType].New( group, Size=[100,100], UseObjectValue=True )
filter.Update() # required ?!
rescale = itk.RescaleIntensityImageFilter[InternalImageType, OutputImageType].New( filter, OutputMinimum=itk.NumericTraits[OutputPixelType].NonpositiveMin(), OutputMaximum=itk.NumericTraits[OutputPixelType].max() )
itk.write(rescale, argv[1])
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