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📄 itkrelabelcomponentimagefiltertest.cxx

📁 DTMK软件开发包,此为开源软件,是一款很好的医学图像开发资源.
💻 CXX
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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkRelabelComponentImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2007-08-10 14:34:02 $
  Version:   $Revision: 1.10 $

  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 "itkRelabelComponentImageFilter.h"
#include "itkConnectedComponentImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIterator.h"
#include "itkFilterWatcher.h"
#include "itkChangeInformationImageFilter.h"
#include "itkLabelStatisticsImageFilter.h"
#include "itkNumericTraits.h"
#include "itkHistogram.h"

#include "itkMultiThreader.h"

int itkRelabelComponentImageFilterTest(int argc, char* argv[] )
{
  if( argc < 5 )
    {
    std::cerr << "Missing Parameters " << std::endl;
    std::cerr << "Usage: " << argv[0];
    std::cerr << " inputImage  outputImage threshold_low threshold_hi" << std::endl;
    return EXIT_FAILURE;
    }

  typedef   unsigned short  InternalPixelType;
  typedef   unsigned long   LabelPixelType;
  typedef   unsigned char   WritePixelType;
  const     unsigned int    Dimension = 2;
  
  typedef itk::Image< InternalPixelType, Dimension >  InternalImageType;
  typedef itk::Image< LabelPixelType, Dimension>   LabelImageType;
  typedef itk::Image<WritePixelType, Dimension> WriteImageType;

  typedef itk::ImageFileReader< InternalImageType > ReaderType;
  typedef itk::ImageFileWriter<  WriteImageType  > WriterType;


  typedef itk::ChangeInformationImageFilter<InternalImageType> ChangeFilterType;
  typedef itk::BinaryThresholdImageFilter< InternalImageType, InternalImageType > ThresholdFilterType;
  typedef itk::ConnectedComponentImageFilter< InternalImageType, LabelImageType > ConnectedComponentType;
  typedef itk::RelabelComponentImageFilter< LabelImageType, LabelImageType > RelabelComponentType;
  typedef itk::BinaryThresholdImageFilter<LabelImageType, WriteImageType> FinalThresholdFilterType;
  typedef itk::LabelStatisticsImageFilter< InternalImageType, LabelImageType> StatisticsFilterType;

  typedef itk::NumericTraits<InternalPixelType>::RealType RealType;
  typedef itk::Statistics::Histogram<RealType,1> HistogramType;
  typedef HistogramType::IndexType HIndexType;
  int NumBins = 13;
  RealType LowerBound = 51.0;
  RealType UpperBound = 252.0;

  ReaderType::Pointer reader = ReaderType::New();
  WriterType::Pointer writer = WriterType::New();
  ChangeFilterType::Pointer change = ChangeFilterType::New();
  ThresholdFilterType::Pointer threshold = ThresholdFilterType::New();
  ConnectedComponentType::Pointer connected = ConnectedComponentType::New();
  RelabelComponentType::Pointer relabel = RelabelComponentType::New();
  FinalThresholdFilterType::Pointer finalThreshold = FinalThresholdFilterType::New();
  StatisticsFilterType::Pointer statistics = StatisticsFilterType::New();
  
  FilterWatcher watcher(relabel);
  FilterWatcher statswatcher(statistics);

  reader->SetFileName( argv[1] );

  // try changing the spacing on the output to test the sorting on
  // physical size
  ChangeFilterType::SpacingType changeSpacing;
  changeSpacing[0] = 1;
  changeSpacing[1] = 0.5;
  change->SetInput( reader->GetOutput() );
  change->SetOutputSpacing(changeSpacing);
  change->ChangeSpacingOn();

  // Create a binary input image to label
  InternalPixelType threshold_low, threshold_hi;
  threshold_low = atoi( argv[3]);
  threshold_hi = atoi( argv[4]);

  threshold->SetInput (change->GetOutput());
  threshold->SetInsideValue(itk::NumericTraits<InternalPixelType>::One);
  threshold->SetOutsideValue(itk::NumericTraits<InternalPixelType>::Zero);
  threshold->SetLowerThreshold(threshold_low);
  threshold->SetUpperThreshold(threshold_hi);
  threshold->Update();

  // Label the components in the image and relabel them so that object
  // numbers increase as the size of the objects decrease.
  connected->SetInput (threshold->GetOutput());
  relabel->SetInput( connected->GetOutput() );
  relabel->SetNumberOfObjectsToPrint( 5 );
  std::cout << "Modified time of relabel's output = " << relabel->GetOutput()->GetMTime() << std::endl;
  relabel->Update();
  std::cout << "NumberOfObjects: " << relabel->GetNumberOfObjects() << " OriginalNumberOfObjects: " <<
    relabel->GetOriginalNumberOfObjects() << " MinimumObjectSize: " << relabel->GetMinimumObjectSize() << std::endl;
  
  // pull out the largest object
  finalThreshold->SetInput( relabel->GetOutput() );
  finalThreshold->SetLowerThreshold( 1 ); // object #1
  finalThreshold->SetUpperThreshold( 1 ); // object #1
  finalThreshold->SetInsideValue(255);
  finalThreshold->SetOutsideValue(itk::NumericTraits<WritePixelType>::Zero);
  
  try
    {
    writer->SetInput (finalThreshold->GetOutput());
    writer->SetFileName( argv[2] );
    writer->Update();
    std::cout << "Modified time of relabel's output = " << relabel->GetOutput()->GetMTime() << std::endl;
    writer->Update();
    std::cout << "Modified time of relabel's output = " << relabel->GetOutput()->GetMTime() << std::endl;
    relabel->Modified();
    relabel->Update();
    std::cout << "Modified time of relabel's output = " << relabel->GetOutput()->GetMTime() << std::endl;
    }
  catch( itk::ExceptionObject & excep )
    {
    std::cerr << "Exception caught !" << std::endl;
    std::cerr << excep << std::endl;
    }


  try
    {
    statistics->SetInput( change->GetOutput() );
    statistics->SetLabelInput( relabel->GetOutput() );
    statistics->SetHistogramParameters(NumBins, LowerBound, UpperBound);
    statistics->UseHistogramsOn();
    statistics->Update();
    }
  catch( itk::ExceptionObject & excep )
    {
    std::cerr << "Exception caught during statistics calculation!"
              << std::endl;
    std::cerr << excep << std::endl;
    }
  try
    {
    HistogramType::Pointer histogram;
    unsigned long printNum = statistics->GetNumberOfLabels();
    if (printNum > 10)
      {
      printNum = 10;
      }
    for (unsigned int ii=0; ii < printNum; ++ii)
      {
      std::cout << "Label " << ii << ": " << (statistics->HasLabel(ii) ? "Exists" : "Does not exist") << std::endl;
      std::cout << "\tCount = " << statistics->GetCount(ii) << std::endl;
      std::cout << "\tMinimum = " << statistics->GetMinimum(ii) << std::endl;
      std::cout << "\tMaximum = " << statistics->GetMaximum(ii) << std::endl;
      std::cout << "\tMean = " << statistics->GetMean(ii) << std::endl;
      std::cout << "\tSigma = " << statistics->GetSigma(ii) << std::endl;
      std::cout << "\tVariance = " << statistics->GetVariance(ii) << std::endl;
      std::cout << "\tSum = " << statistics->GetSum(ii) << std::endl;
      std::cout << "\tMedian = " << statistics->GetMedian(ii) << std::endl;
      std::cout << "\tRegion = " << statistics->GetRegion(ii) << std::endl;
      const StatisticsFilterType::BoundingBoxType bbox =
        statistics->GetBoundingBox(ii);

      std::cout << "\tBounding box = ";
      for ( unsigned int jj = 0; jj <  bbox.size(); jj++)
        {
        std::cout << bbox[jj] << " ";
        }
      std::cout << std::endl;
      if (statistics->HasLabel(ii))
        {
        std::cout << "\tHistogram Frequencies:" << std::endl;
        histogram = statistics->GetHistogram(ii);
        for (int jj=0;jj<=NumBins;jj++)
          {
          std::cout << histogram->GetFrequency(jj) << ", ";
          }
        std::cout <<  std::endl;
        }
      }

    printNum = 2;
    for (unsigned int ii=statistics->GetNumberOfObjects();
           ii < statistics->GetNumberOfObjects()+printNum; ++ii)
      {
      std::cout << "Label " << ii << ": " << (statistics->HasLabel(ii) ? "Exists" : "Does not exist") << std::endl;
      std::cout << "\tCount = " << statistics->GetCount(ii) << std::endl;
      std::cout << "\tMinimum = " << statistics->GetMinimum(ii) << std::endl;
      std::cout << "\tMaximum = " << statistics->GetMaximum(ii) << std::endl;
      std::cout << "\tMean = " << statistics->GetMean(ii) << std::endl;
      std::cout << "\tSigma = " << statistics->GetSigma(ii) << std::endl;
      std::cout << "\tVariance = " << statistics->GetVariance(ii) << std::endl;
      std::cout << "\tSum = " << statistics->GetSum(ii) << std::endl;
      std::cout << "\tMedian = " << statistics->GetMedian(ii) << std::endl;
      if (statistics->HasLabel(ii))
        {
        std::cout << "\tEvery tenth Histogram Frequencies:" << std::endl;
        histogram = statistics->GetHistogram(ii);
        for (int jj=0;jj<=NumBins;jj++)
          {
          std::cout << histogram->GetFrequency(jj) << ", ";
          }
        std::cout <<  std::endl;
        }
      }
      
    }
  catch (...)
    {
    std::cerr << "Exception caught while printing statistics" << std::endl;
    }
  
  return EXIT_SUCCESS;
}

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