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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBSplineScatteredDataPointSetToImageFilterTest3.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.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4756 ) // overflow in constant arithmetic
// seems to be a bogus warning for this test
#endif
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkPointSet.h"
#include "itkBSplineScatteredDataPointSetToImageFilter.h"
/**
* In this test, we approximate a sequence of 3D points with a parametric curve described by B-Splines
*/
int itkBSplineScatteredDataPointSetToImageFilterTest3( int argc, char * argv [] )
{
if( argc < 3 )
{
std::cerr << "Missing arguments" << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr << argv[0] << "inputPointsFile.txt outputPointsAndTangents.txt" << std::endl;
return EXIT_FAILURE;
}
const unsigned int ParametricDimension = 1;
const unsigned int DataDimension = 3;
typedef double RealType;
typedef itk::Vector<RealType, DataDimension> VectorType;
typedef itk::Image<VectorType, ParametricDimension> ImageType;
typedef VectorType PointSetPixelType;
typedef itk::PointSet< PointSetPixelType, ParametricDimension > PointSetType;
PointSetType::Pointer pointSet = PointSetType::New();
// Read the input points
std::ifstream inputFile;
inputFile.open( argv[1] );
VectorType P; // The actual data to be approximated
PointSetType::PointType parameterPosition; // parameter of the curve
unsigned int pointCounter = 0;
std::cout << "Input Data" << std::endl;
inputFile >> P;
// FIXME: add parameterization of the input points, in the range [0:1]
double t =0.0;
while( ! inputFile.eof() )
{
parameterPosition[0] = t;
t += 0.01; // FIXME
std::cout << P << std::endl;
pointSet->SetPoint( pointCounter, parameterPosition );
pointSet->SetPointData( pointCounter, P );
pointCounter++;
inputFile >> P;
}
inputFile.close();
// Instantiate the filter and set the parameters
typedef itk::BSplineScatteredDataPointSetToImageFilter<PointSetType, ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
// Define the parametric domain
ImageType::SpacingType spacing;
spacing.Fill( 0.001 );
ImageType::SizeType size;
size.Fill( static_cast<unsigned int>( 1.0/spacing[0] ) + 1 );
ImageType::PointType origin;
origin.Fill( 0.0 );
filter->SetSize( size );
filter->SetOrigin( origin );
filter->SetSpacing( spacing );
filter->SetInput( pointSet );
filter->SetSplineOrder( 3 );
FilterType::ArrayType ncps;
ncps.Fill( 4 );
filter->SetNumberOfControlPoints( ncps );
filter->SetNumberOfLevels( 5 );
filter->SetGenerateOutputImage( false );
try
{
filter->Update();
std::ofstream outputFile;
outputFile.open( argv[2] );
PointSetType::PointType parameterPosition2;
VectorType P2;
FilterType::GradientType G;
for ( RealType t2 = 0.0; t2 <= 1.0+1e-10; t2 += 0.01 )
{
parameterPosition2[0] = t2;
filter->Evaluate( parameterPosition2, P2 );
filter->EvaluateGradient( parameterPosition2, G );
outputFile << P2[0] << " " << P2[1] << " " << P2[2];
outputFile << " : ";
outputFile << G[0][0] << " " << G[1][0] << " " << G[2][0];
outputFile << std::endl;
}
outputFile.close();
}
catch ( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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