itksquareddifferenceimagefiltertest.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: itkSquaredDifferenceImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2006-01-15 04:28:36 $
  Version:   $Revision: 1.5 $

  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 <itkImage.h>
#include <itkSquaredDifferenceImageFilter.h>
#include <itkImageRegionIteratorWithIndex.h>


int itkSquaredDifferenceImageFilterTest(int, char* [] ) 
{

  // Define the dimension of the images
  const unsigned int myDimension = 3;

  // Define the values of the input images
  const float input1Value = 3.0;
  const float input2Value = 4.0;

  // Define the values of the output images
  const float outputValue = 1.0;

  // Define the precison for output comparison
  const float epsilon = 1e-6;

  // Declare the types of the images
  typedef itk::Image<float, myDimension>  myImageType1;
  typedef itk::Image<float, myDimension>  myImageType2;
  typedef itk::Image<float, myDimension>  myImageType4;

  // Declare the type of the index to access images
  typedef itk::Index<myDimension>         myIndexType;

  // Declare the type of the size 
  typedef itk::Size<myDimension>          mySizeType;

  // Declare the type of the Region
  typedef itk::ImageRegion<myDimension>        myRegionType;

  // Create two images
  myImageType1::Pointer inputImageA  = myImageType1::New();
  myImageType2::Pointer inputImageB  = myImageType2::New();
  
  // Define their size, and start index
  mySizeType size;
  size[0] = 2;
  size[1] = 2;
  size[2] = 2;

  myIndexType start;
  start[0] = 0;
  start[1] = 0;
  start[2] = 0;

  myRegionType region;
  region.SetIndex( start );
  region.SetSize( size );

  // Initialize Image A
  inputImageA->SetLargestPossibleRegion( region );
  inputImageA->SetBufferedRegion( region );
  inputImageA->SetRequestedRegion( region );
  inputImageA->Allocate();

  // Initialize Image B
  inputImageB->SetLargestPossibleRegion( region );
  inputImageB->SetBufferedRegion( region );
  inputImageB->SetRequestedRegion( region );
  inputImageB->Allocate();

  // Declare Iterator types apropriated for each image 
  typedef itk::ImageRegionIteratorWithIndex<myImageType1>  myIteratorType1;
  typedef itk::ImageRegionIteratorWithIndex<myImageType2>  myIteratorType2;
  typedef itk::ImageRegionIteratorWithIndex<myImageType4>  myIteratorType4;

  // Create one iterator for Image A (this is a light object)
  myIteratorType1 it1( inputImageA, inputImageA->GetBufferedRegion() );

  // Initialize the content of Image A
  std::cout << "First operand " << std::endl;
  while( !it1.IsAtEnd() ) 
  {
    it1.Set( input1Value );
    std::cout << it1.Get() << std::endl;
    ++it1;
  }

  // Create one iterator for Image B (this is a light object)
  myIteratorType2 it2( inputImageB, inputImageB->GetBufferedRegion() );

  // Initialize the content of Image B
  std::cout << "Second operand " << std::endl;
  while( !it2.IsAtEnd() ) 
  {
    it2.Set( input2Value );
    std::cout << it2.Get() << std::endl;
    ++it2;
  }


  // Declare the type for the Magnitude Filter
  typedef itk::SquaredDifferenceImageFilter<
                                myImageType1,
                                myImageType2,
                                myImageType4  >       myFilterType;
            

  // Create a MagnitudeImageFilter 
  myFilterType::Pointer filter = myFilterType::New();


  // Connect the input images
  filter->SetInput1( inputImageA ); 
  filter->SetInput2( inputImageB );

  // Get the Smart Pointer to the Filter Output 
  myImageType4::Pointer outputImage = filter->GetOutput();

  
  // Execute the filter
  filter->Update();
  filter->SetFunctor(filter->GetFunctor());

  // Create an iterator for going through the image output
  myIteratorType4 it4(outputImage, outputImage->GetBufferedRegion());
  
  //  Print the content of the result image
  std::cout << " Result " << std::endl;
  while( !it4.IsAtEnd() ) 
  {
    std::cout << it4.Get() << std::endl;
    if( fabs( it4.Get() - outputValue ) > epsilon )
    {
      std::cerr << "Error in the output" << std::endl;
      std::cerr << "Value should be  " << outputValue << std::endl;
      std::cerr << "but is           " << it4.Get()  << std::endl;
      return EXIT_FAILURE;
    }

    ++it4;
  }


  // All objects should be automatically destroyed at this point
  return EXIT_SUCCESS;

}