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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkTernaryMagnitudeSquaredImageFilter.h"
#include "itkTestingMacros.h"
int itkTernaryMagnitudeSquaredImageFilterTest( int, char* [] )
{
// Define the dimension of the images
const unsigned int Dimension = 3;
// Declare the pixel types of the images
typedef float PixelType;
// Declare the types of the images
typedef itk::Image< PixelType, Dimension> InputImageType1;
typedef itk::Image< PixelType, Dimension> InputImageType2;
typedef itk::Image< PixelType, Dimension> InputImageType3;
typedef itk::Image< PixelType, Dimension> OutputImageType;
// Declare the type of the index to access images
typedef itk::Index< Dimension > IndexType;
// Declare the type of the size
typedef itk::Size< Dimension > SizeType;
// Declare the type of the Region
typedef itk::ImageRegion< Dimension > RegionType;
// Create the input images
InputImageType1::Pointer inputImageA = InputImageType1::New();
InputImageType2::Pointer inputImageB = InputImageType2::New();
InputImageType3::Pointer inputImageC = InputImageType3::New();
// Define their size, and start index
SizeType size;
size[0] = 2;
size[1] = 2;
size[2] = 2;
IndexType start;
start[0] = 0;
start[1] = 0;
start[2] = 0;
RegionType 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 appropriate Iterator types for each image
typedef itk::ImageRegionIteratorWithIndex< InputImageType1 >
InputImage1IteratorType;
typedef itk::ImageRegionIteratorWithIndex< InputImageType2 >
InputImage2IteratorType;
typedef itk::ImageRegionIteratorWithIndex< InputImageType3 >
InputImage3IteratorType;
typedef itk::ImageRegionIteratorWithIndex< OutputImageType >
OutputImageIteratorType;
// Create one iterator for Image A (this is a light object)
InputImage1IteratorType it1( inputImageA, inputImageA->GetBufferedRegion() );
// Initialize the content of Image A
const InputImageType1::PixelType valueA = 2.0;
while( !it1.IsAtEnd() )
{
it1.Set( valueA );
++it1;
}
// Create one iterator for Image B (this is a light object)
InputImage2IteratorType it2( inputImageB, inputImageB->GetBufferedRegion() );
// Initialize the content of Image B
const InputImageType2::PixelType valueB = 3.0;
while( !it2.IsAtEnd() )
{
it2.Set( valueB );
++it2;
}
// Create one iterator for Image C (this is a light object)
InputImage3IteratorType it3( inputImageC, inputImageC->GetBufferedRegion() );
// Initialize the content of Image C
const InputImageType3::PixelType valueC = 4.0;
while( !it3.IsAtEnd() )
{
it3.Set( valueC );
++it3;
}
// Declare the type for the TernaryMagnitudeSquaredImageFilter
typedef itk::TernaryMagnitudeSquaredImageFilter<
InputImageType1,
InputImageType2,
InputImageType3,
OutputImageType > FilterType;
// Create the filter
FilterType::Pointer filter = FilterType::New();
EXERCISE_BASIC_OBJECT_METHODS( filter, TernaryMagnitudeSquaredImageFilter,
TernaryFunctorImageFilter );
// Set the input images
filter->SetInput1( inputImageA );
filter->SetInput2( inputImageB );
filter->SetInput3( inputImageC );
filter->SetFunctor( filter->GetFunctor() );
// Execute the filter
filter->Update();
// Get the filter output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Create an iterator for going through the image output
OutputImageIteratorType oIt( outputImage, outputImage->GetBufferedRegion() );
// Check the content of the result image
const float epsilon = 1e-6;
oIt.GoToBegin();
it1.GoToBegin();
it2.GoToBegin();
it3.GoToBegin();
while( !oIt.IsAtEnd() )
{
PixelType outputValue = static_cast< OutputImageType::PixelType >(
it1.Get() * it1.Get() + it2.Get() * it2.Get() + it3.Get() * it3.Get() );
if( !itk::Math::FloatAlmostEqual( oIt.Get(), outputValue, 10, epsilon ) )
{
std::cerr.precision( static_cast< int >( itk::Math::abs( std::log10( epsilon ) ) ) );
std::cerr << "Error " << std::endl;
std::cerr << "Value should be " << outputValue << std::endl;
std::cerr << "but is " << oIt.Get() << std::endl;
return EXIT_FAILURE;
}
++oIt;
++it1;
++it2;
++it3;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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