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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 "itkListSample.h"
#include "itkHistogram.h"
#include "itkSampleToHistogramFilter.h"
int itkSampleToHistogramFilterTest3( int, char * [] )
{
const unsigned int numberOfComponents = 3;
typedef signed int MeasurementType; // Exercise an integer type for the samples
typedef itk::Array< MeasurementType > MeasurementVectorType;
typedef itk::Statistics::ListSample< MeasurementVectorType > SampleType;
typedef itk::Statistics::Histogram< MeasurementType,
itk::Statistics::DenseFrequencyContainer2 > HistogramType;
typedef itk::Statistics::SampleToHistogramFilter<
SampleType, HistogramType > FilterType;
typedef FilterType::HistogramSizeType HistogramSizeType;
typedef FilterType::HistogramMeasurementVectorType HistogramMeasurementVectorType;
FilterType::Pointer filter = FilterType::New();
SampleType::Pointer sample = SampleType::New();
HistogramMeasurementVectorType minimum( numberOfComponents );
HistogramMeasurementVectorType maximum( numberOfComponents );
minimum[0] = -17;
minimum[1] = -19;
minimum[2] = -24;
maximum[0] = 17;
maximum[1] = 19;
maximum[2] = 24;
HistogramSizeType histogramSize( numberOfComponents );
histogramSize[0] = 36;
histogramSize[1] = 40;
histogramSize[2] = 50;
MeasurementVectorType measure( numberOfComponents );
sample->SetMeasurementVectorSize( numberOfComponents );
// Populate the Sample
for( unsigned int i=0; i < histogramSize[0]; i++ )
{
measure[0] = minimum[0] + i;
for( unsigned int j=0; j < histogramSize[1]; j++ )
{
measure[1] = minimum[1] + j;
for( unsigned int k=0; k < histogramSize[2]; k++ )
{
measure[2] = minimum[2] + k;
sample->PushBack( measure );
}
}
}
filter->SetInput( sample );
// Test exception when calling Update() without having
// defined the size of the histogram in the filter.
try
{
filter->Update();
std::cerr << "Failure to throw expected exception due to lack";
std::cerr << " of calling SetHistogramSize() in the filter ";
return EXIT_FAILURE;
}
catch( itk::ExceptionObject & )
{
std::cout << "Expected exception received" << std::endl;
}
const HistogramType * histogram = filter->GetOutput();
if( histogram->Size() != 0 )
{
std::cerr << "Histogram Size should have been zero" << std::endl;
return EXIT_FAILURE;
}
filter->SetHistogramSize( histogramSize );
try
{
filter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
const unsigned int expectedHistogramSize1 =
histogramSize[0] * histogramSize[1] * histogramSize[2];
if( histogram->Size() != expectedHistogramSize1 )
{
std::cerr << "Histogram Size error" << std::endl;
std::cerr << "We expected " << expectedHistogramSize1 << std::endl;
std::cerr << "We received " << histogram->Size() << std::endl;
return EXIT_FAILURE;
}
HistogramType::ConstIterator histogramItr = histogram->Begin();
HistogramType::ConstIterator histogramEnd = histogram->End();
const unsigned int expectedFrequency1 = 1;
while( histogramItr != histogramEnd )
{
if( histogramItr.GetFrequency() != expectedFrequency1 )
{
std::cerr << "Histogram bin error for measure " << std::endl;
std::cerr << histogramItr.GetMeasurementVector() << std::endl;
std::cerr << "Expected frequency = " << expectedFrequency1 << std::endl;
std::cerr << "Computed frequency = " << histogramItr.GetFrequency() << std::endl;
}
++histogramItr;
}
// Exercise the saturation of the maximum
maximum[0] = itk::NumericTraits< MeasurementType >::max();
maximum[1] = itk::NumericTraits< MeasurementType >::max();
maximum[2] = itk::NumericTraits< MeasurementType >::max();
minimum[0] = itk::NumericTraits< MeasurementType >::min();
minimum[1] = itk::NumericTraits< MeasurementType >::min();
minimum[2] = itk::NumericTraits< MeasurementType >::min();
filter->SetHistogramBinMaximum( maximum );
filter->SetHistogramBinMinimum( minimum );
filter->SetAutoMinimumMaximum( true );
try
{
filter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
filter->SetAutoMinimumMaximum( false );
// Add a sample that will exercise the overflow code
//
measure[0] = itk::NumericTraits< MeasurementType >::max();
measure[1] = itk::NumericTraits< MeasurementType >::max();
measure[2] = itk::NumericTraits< MeasurementType >::max();
sample->PushBack( measure );
sample->Modified();
try
{
filter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
filter->SetAutoMinimumMaximum( true );
try
{
filter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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