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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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
constexpr unsigned int Dimension = 3;
// Declare the pixel types of the images
using PixelType = float;
// Declare the types of the images
using InputImageType1 = itk::Image<PixelType, Dimension>;
using InputImageType2 = itk::Image<PixelType, Dimension>;
using InputImageType3 = itk::Image<PixelType, Dimension>;
using OutputImageType = itk::Image<PixelType, Dimension>;
// Declare the type of the index to access images
using IndexType = itk::Index<Dimension>;
// Declare the type of the size
using SizeType = itk::Size<Dimension>;
// Declare the type of the Region
using RegionType = itk::ImageRegion<Dimension>;
// Create the input images
auto inputImageA = InputImageType1::New();
auto inputImageB = InputImageType2::New();
auto 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->SetRegions(region);
inputImageA->Allocate();
// Initialize Image B
inputImageB->SetRegions(region);
inputImageB->Allocate();
// Initialize Image C
inputImageC->SetRegions(region);
inputImageC->Allocate();
// Declare appropriate Iterator types for each image
using InputImage1IteratorType = itk::ImageRegionIteratorWithIndex<InputImageType1>;
using InputImage2IteratorType = itk::ImageRegionIteratorWithIndex<InputImageType2>;
using InputImage3IteratorType = itk::ImageRegionIteratorWithIndex<InputImageType3>;
using OutputImageIteratorType = itk::ImageRegionIteratorWithIndex<OutputImageType>;
// Create one iterator for Image A (this is a light object)
InputImage1IteratorType it1(inputImageA, inputImageA->GetBufferedRegion());
// Initialize the content of Image A
constexpr 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
constexpr 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
constexpr InputImageType3::PixelType valueC = 4.0;
while (!it3.IsAtEnd())
{
it3.Set(valueC);
++it3;
}
// Declare the type for the TernaryMagnitudeSquaredImageFilter
using FilterType =
itk::TernaryMagnitudeSquaredImageFilter<InputImageType1, InputImageType2, InputImageType3, OutputImageType>;
// Create the filter
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, TernaryMagnitudeSquaredImageFilter, TernaryGeneratorImageFilter);
// Set the input images
filter->SetInput1(inputImageA);
filter->SetInput2(inputImageB);
filter->SetInput3(inputImageC);
// 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())
{
auto 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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