File: itkBSplineScatteredDataPointSetToImageFilterTest3.cxx

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/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/

#include "itkPointSet.h"

#include "itkBSplineScatteredDataPointSetToImageFilter.h"

#include <fstream>

/**
 * 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 < 2 )
    {
    std::cerr << "Missing arguments" << std::endl;
    std::cerr << "Usage:" << std::endl;
    std::cerr << argv[0] << "inputPointsFile.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 );

  // We set an extreme number of levels to show how this
  // fails because of the choice of B-spline epsilon
  filter->SetNumberOfLevels( 15 );
  filter->SetGenerateOutputImage( true );

  try
    {
    filter->Update();
    }
  catch ( itk::ExceptionObject & excp )
    {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }

  return EXIT_SUCCESS;
}