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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkLabelStatisticsImageFilterTest.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 : 4786 )
#endif
#include <iostream>
#include "itkImage.h"
#include "itkLabelStatisticsImageFilter.h"
#include "itkImageFileReader.h"
#include "itkNumericTraits.h"
#include "itkFilterWatcher.h"
#include "vnl/vnl_math.h"
int itkLabelStatisticsImageFilterTest(int argc, char* argv [] )
{
std::cout << "itkLabelStatisticsImageFilterTest Start" << std::endl;
if( argc < 2 )
{
std::cerr << "Missing Arguments" << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImage labeledImage " << std::endl;
return EXIT_FAILURE;
}
typedef itk::Image<unsigned char,2> ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
ReaderType::Pointer reader1 = ReaderType::New();
ReaderType::Pointer reader2 = ReaderType::New();
reader1->SetFileName( argv[1] );
reader2->SetFileName( argv[2] );
typedef itk::LabelStatisticsImageFilter< ImageType, ImageType > FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher filterWatch( filter );
filter->SetInput ( reader1->GetOutput() );
filter->SetLabelInput ( reader2->GetOutput() );
filter->UseHistogramsOn();
try
{
filter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Exception caught ! " << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
const unsigned int numberOfObjects = filter->GetNumberOfObjects();
const unsigned int numberOfLabels = filter->GetNumberOfLabels();
typedef FilterType::RealType RealType;
typedef FilterType::BoundingBoxType BoundingBoxType;
typedef FilterType::RegionType RegionType;
typedef FilterType::LabelPixelType LabelPixelType;
LabelPixelType labelValue;
std::cout << "There are " << numberOfLabels << " labels" << std::endl;
std::cout << "There are " << numberOfObjects << " objects" << std::endl;
// Try two labels: one that exists and one that does not
for (int i = 0; i < 2; i++)
{
// Find an existing label
if (i == 0)
{
labelValue = 0;
while (!filter->HasLabel(labelValue))
{
labelValue++;
}
std::cout << "Label Statistics for label "
<< static_cast<itk::NumericTraits<LabelPixelType>::PrintType>(labelValue)
<< " which exists" << std::endl;
}
// Find a non existant label
if (i != 0)
{
labelValue = 0;
while (filter->HasLabel(labelValue))
{
labelValue++;
}
std::cout << "Label Statistics for label "
<< static_cast<itk::NumericTraits<LabelPixelType>::PrintType>(labelValue)
<< " which does not exist" << std::endl;
}
const RealType min = filter->GetMinimum( labelValue );
const RealType max = filter->GetMaximum( labelValue );
const RealType median = filter->GetMedian( labelValue );
const RealType mean = filter->GetMean( labelValue );
const RealType sigma = filter->GetSigma( labelValue );
const RealType variance = filter->GetVariance( labelValue );
const RealType sum = filter->GetSum( labelValue );
const BoundingBoxType box = filter->GetBoundingBox( labelValue );
const RegionType region = filter->GetRegion( labelValue );
std::cout << "Minimum = " << min << std::endl;
std::cout << "Maximum = " << max << std::endl;
std::cout << "Median = " << median << std::endl;
std::cout << "Mean = " << mean << std::endl;
std::cout << "Sigma = " << sigma << std::endl;
std::cout << "Variance = " << variance << std::endl;
std::cout << "Sum = " << sum << std::endl;
std::cout << "Region = " << region << std::endl;
BoundingBoxType::const_iterator itr = box.begin();
while( itr != box.end() )
{
std::cout << "Index = " << *itr << std::endl;
++itr;
}
}
return EXIT_SUCCESS;
}
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