File: itkSubsampleTest3.cxx

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkSubsampleTest3.cxx,v $
  Language:  C++
  Date:      $Date: 2009-08-08 15:48:18 $
  Version:   $Revision: 1.3 $

  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 : 4786 )
#endif

#include "itkMeanSampleFilter.h"
#include "itkListSample.h"
#include "itkSubsample.h"
#include "itkFixedArray.h"

int itkSubsampleTest3(int, char* [] ) 
{
  std::cout << "MeanSampleFilter test \n \n";
  std::string failureMeassage= "";

  const unsigned int                  MeasurementVectorSize = 2;
  const unsigned int                  numberOfMeasurementVectors = 5;
  unsigned int                        counter;

  typedef itk::FixedArray< 
    float, MeasurementVectorSize >             MeasurementVectorType;
  typedef itk::Statistics::ListSample< 
    MeasurementVectorType >                    SampleType;

  SampleType::Pointer sample = SampleType::New();

  sample->SetMeasurementVectorSize( MeasurementVectorSize ); 

  MeasurementVectorType               measure;
  
  //reset counter
  counter = 0;

  while ( counter < numberOfMeasurementVectors ) 
    {
    for( unsigned int i=0; i<MeasurementVectorSize; i++)
      {
      measure[i] = counter;
      }
    sample->PushBack( measure );
    counter++;
    }

  typedef itk::Statistics::Subsample< SampleType >  SubsampleType;

  SubsampleType::Pointer subsample = SubsampleType::New();

  subsample->SetSample( sample );

  //Initialize the subsample with all the samples
  subsample->InitializeWithAllInstances();

  typedef itk::Statistics::MeanSampleFilter< SubsampleType > 
    FilterType;

  FilterType::Pointer filter = FilterType::New();

  filter->SetInput( subsample );

  try
    {
    filter->Update();
    }
  catch ( itk::ExceptionObject & excp )
    {
    std::cerr << "Exception caught: " << excp << std::endl;
    }
 
  const FilterType::MeasurementVectorDecoratedType * decorator = filter->GetOutput();
  FilterType::MeasurementVectorType    meanOutput  = decorator->Get();

  FilterType::MeasurementVectorType mean;

  mean[0] = 2.0;
  mean[1] = 2.0;

  std::cout << meanOutput[0] << " " << mean[0] << " "  
            << meanOutput[1] << " " << mean[1] << " " << std::endl;  

  FilterType::MeasurementVectorType::ValueType    epsilon = 1e-6; 

  if ( ( vcl_fabs( meanOutput[0] - mean[0]) > epsilon )  || 
       ( vcl_abs( meanOutput[1] - mean[1]) > epsilon ))
    {
    std::cerr << "The result is not what is expected" << std::endl;
    return EXIT_FAILURE;
    }

  //Clear and  repopulate the subsample container
  subsample->Clear();

  // add only the first half of instances of the sample
  for (SampleType::InstanceIdentifier id = 0; 
       id < static_cast< SampleType::InstanceIdentifier >
         (sample->Size() / 2);
       id++)
    {
    subsample->AddInstance(id);
    }

  std::cout << "Subsample size: " << subsample->Size() << std::endl;

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

  decorator   = filter->GetOutput(); 
  meanOutput  = decorator->Get();

  mean[0] = 0.5;
  mean[1] = 0.5;

  std::cout << meanOutput[0] << " " << mean[0] << " "  
            << meanOutput[1] << " " << mean[1] << " " << std::endl;  

  if ( ( vcl_abs( meanOutput[0] - mean[0]) > epsilon )  || 
       ( vcl_abs( meanOutput[1] - mean[1]) > epsilon ))
    {
    std::cerr << "The result is not what is expected" << std::endl;
    return EXIT_FAILURE;
    }

  return EXIT_SUCCESS;
}