itkminimummaximumimagefiltertest.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: itkMinimumMaximumImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2008-01-30 16:06:31 $
  Version:   $Revision: 1.12 $

  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 "itkMinimumMaximumImageFilter.h"
#include "itkSize.h"
#include "itkFilterWatcher.h"

int 
itkMinimumMaximumImageFilterTest(int , char *[] )
{
  typedef itk::Size<3>                                  SizeType;
  typedef itk::Image<float, 3>                  ImageType;
  typedef itk::MinimumMaximumImageFilter<ImageType>  MinMaxFilterType;

  /* Define the image size and physical coordinates */
  SizeType size = {{20, 20, 20}};
  double origin [3] = { 0.0, 0.0, 0.0};
  double spacing[3] = { 1, 1 , 1};

  int flag = 0;           /* Did this test program work? */
  
  std::cout << "Testing Minimum and Maximum Image Calulator:\n";

  // Allocate a simple test image
  ImageType::Pointer image = ImageType::New();
  ImageType::RegionType region;
  region.SetSize(size);
  image->SetLargestPossibleRegion(region);
  image->SetRequestedRegion(region);
  image->SetBufferedRegion(region);
  image->Allocate();

  // Set origin and spacing of physical coordinates
  image->SetOrigin(origin);
  image->SetSpacing(spacing);

  float minimum = -52;
  float maximum = -10;


  // Initialize the image contents with the minimum value
  itk::Index<3> index;
  for (int slice = 0; slice < 20; slice++)
    {
    index[2] = slice;
    for (int row = 0; row <20; row++)
      {
      index[1] = row;
      for (int col = 0; col < 20; col++)
        {
        index[0] = col;
        image->SetPixel(index, minimum);
        }
      }
    }

  // Set voxel (10,10,10) to maximum value
  index[0] = 10;
  index[1] = 10;
  index[2] = 10;
  image->SetPixel(index, maximum);

  // Create and initialize the filter
  MinMaxFilterType::Pointer filter = MinMaxFilterType::New();
  FilterWatcher watcher(filter);

  filter->SetInput(image);
  filter->Update();

  // Return minimum of intensity
  float minimumResult = filter->GetMinimum();
  std::cout << "The Minimum intensity value is : " << minimumResult << std::endl;

  if(minimumResult != minimum)
    {
    std::cout << "Minimum Value is wrong : " << minimumResult ;
    std::cout << " != " << minimum << std::endl;
    flag = 1;
    }
  
  // Return maximum of intensity
  float maximumResult = filter->GetMaximum();
  std::cout << "The Maximum intensity value is : " << maximumResult << std::endl;

  if(maximumResult != maximum)
    {
    std::cout << "Maximum Value is wrong : " << maximumResult ;
    std::cout << " != " << maximum << std::endl;
    flag = 2;
    }

  // Return results of test 
  if (flag != 0)
    {
    std::cout << "*** Some tests failed" << std::endl;
    return flag;
    }
  else
    {
    std::cout << "All tests successfully passed" << std::endl;
    return EXIT_SUCCESS;
    }
}