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📄 itkmedianimagefunctiontest.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: itkMedianImageFunctionTest.cxx,v $
  Language:  C++
  Date:      $Date: 2003-09-10 14:30:09 $
  Version:   $Revision: 1.4 $

  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 <stdio.h>

#include "itkMedianImageFunction.h"
#include "itkImage.h"
#include "itkNumericTraits.h"

int itkMedianImageFunctionTest(int, char* [] )
{

  const unsigned int Dimension = 3;
  typedef unsigned char   PixelType; 

  typedef itk::Image< PixelType, Dimension > ImageType;
  typedef itk::MedianImageFunction< ImageType > FunctionType;

  // Create and allocate the image
  ImageType::Pointer      image = ImageType::New();
  ImageType::SizeType     size;
  ImageType::IndexType    start;
  ImageType::RegionType   region;
 
  size[0] = 50;
  size[1] = 50;
  size[2] = 50;

  start.Fill( 0 );
    
  region.SetIndex( start );
  region.SetSize( size );

  image->SetRegions( region );
  image->Allocate();

  ImageType::PixelType initialValue = 27;

  image->FillBuffer( initialValue );

  FunctionType::Pointer function = FunctionType::New();

  function->SetInputImage( image );

  ImageType::IndexType    index;

  index[0] = 25;
  index[1] = 25;
  index[2] = 25;

  FunctionType::OutputType  median;

  median = function->EvaluateAtIndex( index );
  std::cout << "function->EvaluateAtIndex( index ): "
            << static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median)
            << std::endl;

  // Test Evaluate
  FunctionType::PointType point;
  point[0] = 25;
  point[1] = 25;
  point[2] = 25;
  FunctionType::OutputType median2;
  median2 = function->Evaluate(point);
  std::cout << "function->Evaluate(point): "
            << static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median2)
            << std::endl;

  // Test EvaluateAtContinuousIndex
  FunctionType::ContinuousIndexType cindex;
  cindex[0] = 25;
  cindex[1] = 25;
  cindex[2] = 25;
  FunctionType::OutputType median3;
  median3 = function->EvaluateAtContinuousIndex(cindex);
  std::cout << "function->EvaluateAtContinuousIndex(cindex): "
            << static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median3)
            << std::endl;

  // since the input image is constant 
  // the should be equal to the initial value
  if( vnl_math_abs( initialValue - median ) > 10e-7 )
    {
    std::cerr << "Error in mean computation" << std::endl;
    return EXIT_FAILURE;
    }
  
  std::cout << "Test PASSED ! " << std::endl;
  return EXIT_SUCCESS;

}

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