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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 "itkMeanSampleFilter.h"
#include "itkListSample.h"
#include "itkSubsample.h"
int itkSubsampleTest3(int, char* [] )
{
std::cout << "MeanSampleFilter test \n \n";
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 ( ( std::abs( meanOutput[0] - mean[0]) > epsilon ) ||
( std::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 ( ( std::abs( meanOutput[0] - mean[0]) > epsilon ) ||
( std::abs( meanOutput[1] - mean[1]) > epsilon ))
{
std::cerr << "The result is not what is expected" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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