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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBSplineScatteredDataPointSetToImageFilterTest.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkPointSet.h"
#include "itkBSplineScatteredDataPointSetToImageFilter.h"
/**
* In this test, we approximate a 2-D scalar field.
* The scattered data is derived from a segmented
* image. We write the output to an image for
* comparison.
*/
int itkBSplineScatteredDataPointSetToImageFilterTest( int argc, char * argv [] )
{
if ( argc != 3 )
{
std::cout << "Usage: " << argv[0] << " inputImage outputImage" << std::endl;
return EXIT_FAILURE;
}
const unsigned int ParametricDimension = 2;
const unsigned int DataDimension = 1;
typedef int PixelType;
typedef itk::Image<PixelType, ParametricDimension> InputImageType;
typedef float RealType;
typedef itk::Vector<RealType, DataDimension> VectorType;
typedef itk::Image<VectorType, ParametricDimension> VectorImageType;
typedef itk::PointSet
<VectorImageType::PixelType, ParametricDimension> PointSetType;
PointSetType::Pointer pointSet = PointSetType::New();
typedef itk::ImageFileReader<InputImageType> ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
reader->Update();
itk::ImageRegionIteratorWithIndex<InputImageType>
It( reader->GetOutput(), reader->GetOutput()->GetLargestPossibleRegion() );
// Iterate through the input image which consists of multivalued
// foreground pixels (=nonzero) and background values (=zero).
// The foreground pixels comprise the input point set.
for ( It.GoToBegin(); !It.IsAtEnd(); ++It )
{
if ( It.Get() != itk::NumericTraits<PixelType>::Zero )
{
// We extract both the 2-D location of the point
// and the pixel value of that point.
PointSetType::PointType point;
reader->GetOutput()->TransformIndexToPhysicalPoint( It.GetIndex(), point );
unsigned long i = pointSet->GetNumberOfPoints();
pointSet->SetPoint( i, point );
PointSetType::PixelType V( DataDimension );
V[0] = static_cast<RealType>( It.Get() );
pointSet->SetPointData( i, V );
}
}
// Instantiate the B-spline filter and set the desired parameters.
typedef itk::BSplineScatteredDataPointSetToImageFilter
<PointSetType, VectorImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetSplineOrder( 3 );
FilterType::ArrayType ncps;
ncps.Fill( 4 );
filter->SetNumberOfControlPoints( ncps );
filter->SetNumberOfLevels( 3 );
// Define the parametric domain.
filter->SetOrigin( reader->GetOutput()->GetOrigin() );
filter->SetSpacing( reader->GetOutput()->GetSpacing() );
filter->SetSize( reader->GetOutput()->GetLargestPossibleRegion().GetSize() );
filter->SetInput( pointSet );
try
{
filter->Update();
}
catch (...)
{
std::cerr << "Test 1: itkBSplineScatteredDataImageFilter exception thrown"
<< std::endl;
return EXIT_FAILURE;
}
// Write the output to an image.
typedef itk::Image<RealType, ParametricDimension> RealImageType;
RealImageType::Pointer image = RealImageType::New();
image->SetRegions( reader->GetOutput()->GetLargestPossibleRegion() );
image->Allocate();
itk::ImageRegionIteratorWithIndex<RealImageType>
Itt( image, image->GetLargestPossibleRegion() );
for ( Itt.GoToBegin(); !Itt.IsAtEnd(); ++Itt )
{
Itt.Set( filter->GetOutput()->GetPixel( Itt.GetIndex() )[0] );
}
typedef itk::ImageFileWriter<RealImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( image );
writer->SetFileName( argv[2] );
writer->Update();
return EXIT_SUCCESS;
}
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