itknarrowbandimagefilterbasetest.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.

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkNarrowBandImageFilterBaseTest.cxx,v $
  Language:  C++
  Date:      $Date: 2007-12-18 17:25:13 $
  Version:   $Revision: 1.7 $

  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 "itkImageFileWriter.h"
#include "itkNarrowBandImageFilterBase.h"
#include "itkCastImageFilter.h"
#include "itkCurvatureFlowFunction.h"
#include "itkRandomImageSource.h"
#include "itkAddImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"

namespace itk 
{
  template <class TInputImageType, class TOutputImageType>
  class NbTestClass: public NarrowBandImageFilterBase<TInputImageType, TOutputImageType>
  {
     public:
     typedef NbTestClass Self;
    
     typedef NarrowBandImageFilterBase<TInputImageType, TOutputImageType> Superclass;
     typedef SmartPointer<Self> Pointer;
     typedef SmartPointer<const Self> ConstPointer;
     typedef TOutputImageType ImageType;

    /** Standard method for creation through object factory. */
        itkNewMacro(Self);
    
    /** Run-time class information. */
     itkTypeMacro(NbTestClass,NarrowBandImageFilterBase);
    
     typedef CurvatureFlowFunction<TOutputImageType> FiniteFunctionType;
    
 
  protected:  
    typename FiniteFunctionType::Pointer m_Function;
    
    NbTestClass () 
    {
      m_Function=FiniteFunctionType::New();
      this->SetDifferenceFunction(m_Function);
    }

    virtual bool Halt ()
    {
      if (this->GetElapsedIterations()==20) return true;
      else return false;
    }
    
    virtual void CreateNarrowBand()
      {
      //Create a band
      typename ImageType::SizeType sz= this->GetInput()->GetRequestedRegion().GetSize();
      typename ImageType::IndexType tl= this->GetInput()->GetRequestedRegion().GetIndex();
      typename Superclass::IndexType in;

      for (in[0]=32+tl[0]; in[0]<tl[0]+(long int)(sz[0]); in[0]++)
        {
        for (in[1]=tl[1]+32; in[1]<tl[1]+(long int)(sz[1]);in[1]++)       
          {
          this->InsertNarrowBandNode (in); 
          }
        }
      }
  };
}

namespace
{
// simple signed distance function
template <typename TPoint>
double
SimpleSignedDistance( const TPoint & p )
{
  TPoint center;
  center.Fill( 32 );
  double radius = 19.5;

  double accum = 0.0;
  for( unsigned int j = 0; j < TPoint::PointDimension; j++ )
    {
    accum += vnl_math_sqr( p[j] - center[j] );
    }
  accum = vcl_sqrt( accum );
  return ( accum - radius );

}
}


int itkNarrowBandImageFilterBaseTest(int argc, char* argv[])
{
  if(argc < 2)
    {
    std::cerr << "Usage: " << argv[0] << " OutputImage\n";
    return EXIT_FAILURE;
    }

  typedef float PixelType;
  typedef unsigned char WriterPixelType;
  const unsigned int ImageDimension = 2;
  typedef itk::Image<PixelType,ImageDimension> ImageType;
  typedef itk::Image<WriterPixelType,ImageDimension> WriterImageType;
  typedef itk::Point<double,ImageDimension> PointType;
  
  ImageType::SizeType size = {{64,64}};
  ImageType::IndexType index = {{0,0}};
  ImageType::RegionType region;
  region.SetSize( size );
  region.SetIndex( index );
  
  ImageType::Pointer inputImage = ImageType::New();
  inputImage->SetLargestPossibleRegion( region );
  inputImage->SetBufferedRegion( region );
  inputImage->SetRequestedRegion( region );
  inputImage->Allocate();

  typedef itk::ImageRegionIteratorWithIndex<ImageType> Iterator;
  Iterator iter( inputImage, region );
  iter.GoToBegin();

  while( !iter.IsAtEnd() )
    {
    PointType point;
    inputImage->TransformIndexToPhysicalPoint( iter.GetIndex(), point );
    iter.Set( SimpleSignedDistance( point ) );
    ++iter;
    }

  typedef itk::RandomImageSource<ImageType> RandomSourceType;
  RandomSourceType::Pointer randomSource = RandomSourceType::New();
  unsigned long tam[2];
  tam[0]=64;
  tam[1]=64;
  randomSource->SetSize(tam);
  randomSource->SetMin(-2);
  randomSource->SetMax(2);
  //  For testing purposes we want random source to produce
  //  deterministic values. This is accompished by restricting the
  //  number of threads to 1.
  randomSource->SetNumberOfThreads(1);

  typedef itk::AddImageFilter<ImageType,ImageType,ImageType> AddFilterType;
  AddFilterType::Pointer addFilter = AddFilterType::New();
  addFilter->SetInput1(inputImage);
  addFilter->SetInput2(randomSource->GetOutput());

  typedef itk::NbTestClass <ImageType,ImageType> FilterType;

  FilterType::Pointer filter = FilterType::New();
  filter->SetInput(addFilter->GetOutput());    

  try
    {
    typedef itk::RescaleIntensityImageFilter<ImageType, WriterImageType> RescaleType;
    RescaleType::Pointer rescale = RescaleType::New();
    rescale->SetInput(filter->GetOutput());
    rescale->SetOutputMinimum(0);
    rescale->SetOutputMaximum(255);

    typedef itk::ImageFileWriter<WriterImageType> WriterType;
    WriterType::Pointer writer = WriterType::New();
    writer->SetInput( rescale->GetOutput() );
    writer->SetFileName( argv[1] );
    writer->Write();
    }
  catch (itk::ExceptionObject &err)
    {
    (&err)->Print(std::cerr);
    std::cout << "Test failed." << std::endl;
    return EXIT_FAILURE;
    }
  
  std::cout << "Test Passed. " << std::endl;
  return EXIT_SUCCESS;
 
}