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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkTernaryMagnitudeImageFilterTest.cxx
Language: C++
Date: $Date$
Version: $Revision$
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 <itkTernaryMagnitudeImageFilter.h>
#include <itkImageRegionIteratorWithIndex.h>
int itkTernaryMagnitudeImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int myDimension = 3;
// Declare the types of the images
typedef itk::Image<float, myDimension> myImageType1;
typedef itk::Image<float, myDimension> myImageType2;
typedef itk::Image<float, myDimension> myImageType3;
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();
myImageType3::Pointer inputImageC = myImageType3::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();
// Initialize Image C
inputImageC->SetLargestPossibleRegion( region );
inputImageC->SetBufferedRegion( region );
inputImageC->SetRequestedRegion( region );
inputImageC->Allocate();
// Declare Iterator types apropriated for each image
typedef itk::ImageRegionIteratorWithIndex<myImageType1> myIteratorType1;
typedef itk::ImageRegionIteratorWithIndex<myImageType2> myIteratorType2;
typedef itk::ImageRegionIteratorWithIndex<myImageType3> myIteratorType3;
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( 2.0 );
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( 3.0 );
std::cout << it2.Get() << std::endl;
++it2;
}
// Create one iterator for Image C (this is a light object)
myIteratorType3 it3( inputImageC, inputImageC->GetBufferedRegion() );
// Initialize the content of Image C
std::cout << "Third operand " << std::endl;
while( !it3.IsAtEnd() )
{
it3.Set( 4.0 );
std::cout << it3.Get() << std::endl;
++it3;
}
// Declare the type for the Magnitude Filter
typedef itk::TernaryMagnitudeImageFilter<
myImageType1,
myImageType2,
myImageType3,
myImageType4 > myFilterType;
// Create a MagnitudeImageFilter
myFilterType::Pointer filter = myFilterType::New();
// Connect the input images
filter->SetInput1( inputImageA );
filter->SetInput2( inputImageB );
filter->SetInput3( inputImageC );
// 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;
++it4;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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