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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 "itkConstrainedValueAdditionImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkTestingMacros.h"
int
itkConstrainedValueAdditionImageFilterTest(int argc, char * argv[])
{
if (argc < 2)
{
std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << "outputImage " << std::endl;
return EXIT_FAILURE;
}
// Define the dimension of the images
constexpr unsigned int Dimension = 3;
// Define the pixel types
using InputPixelType = float;
using OutputPixelType = unsigned short;
// Declare the types of the images
using InputImageType1 = itk::Image<InputPixelType, Dimension>;
using InputImageType2 = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, 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();
// 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();
// Declare Iterator types apropriated for each image
using InputIteratorType1 = itk::ImageRegionIteratorWithIndex<InputImageType1>;
using InputIteratorType2 = itk::ImageRegionIteratorWithIndex<InputImageType2>;
// Create one iterator for Image A (this is a light object)
InputIteratorType1 it1(inputImageA, inputImageA->GetBufferedRegion());
// Initialize the content of Image A
float valueA = 125; // when added to B will saturate a char in some of the pixels.
while (!it1.IsAtEnd())
{
it1.Set(valueA);
++it1;
valueA += 1.0;
}
// Create one iterator for Image B (this is a light object)
InputIteratorType2 it2(inputImageB, inputImageB->GetBufferedRegion());
// Initialize the content of Image B
float valueB = 125; // when added to A will saturate a char in some of the pixels.
while (!it2.IsAtEnd())
{
it2.Set(valueB);
++it2;
valueB += 1.0;
}
// Declare the type for the ADD filter
using ConstrainedValueAdditionImageFilterType =
itk::ConstrainedValueAdditionImageFilter<InputImageType1, InputImageType2, OutputImageType>;
// Create the filter
auto filter = ConstrainedValueAdditionImageFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ConstrainedValueAdditionImageFilter, BinaryGeneratorImageFilter);
// Set the input images
filter->SetInput1(inputImageA);
filter->SetInput2(inputImageB);
// Execute the filter
filter->Update();
// Get the filter Output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Write the result image
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[1]);
writer->SetInput(outputImage);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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