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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 "itkMinimumImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkTestingMacros.h"
int
itkMinimumImageFilterTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int Dimension = 3;
using PixelType = unsigned char;
// Declare the types of the images
using ImageType = 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>;
// Declare the type for the MULTIPLY filter
using MinimumFilterType = itk::MinimumImageFilter<ImageType, ImageType, ImageType>;
// Create two images
auto inputImageA = ImageType::New();
auto inputImageB = ImageType::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();
// Define the pixel values for each image
PixelType largePixelValue = 3;
PixelType smallPixelValue = 2;
// Declare Iterator types apropriated for each image
using IteratorType = itk::ImageRegionIteratorWithIndex<ImageType>;
// Create one iterator for Image A (this is a light object)
IteratorType it1(inputImageA, inputImageA->GetBufferedRegion());
// Initialize the content of Image A
while (!it1.IsAtEnd())
{
it1.Set(smallPixelValue);
++it1;
}
// Create one iterator for Image B (this is a light object)
IteratorType it2(inputImageB, inputImageB->GetBufferedRegion());
// Initialize the content of Image B
while (!it2.IsAtEnd())
{
it2.Set(largePixelValue);
++it2;
}
// Create the filter
auto minimumImageFilter = MinimumFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(minimumImageFilter, MinimumImageFilter, BinaryGeneratorImageFilter);
// Connect the input images
minimumImageFilter->SetInput1(inputImageA);
minimumImageFilter->SetInput2(inputImageB);
// Get the Smart Pointer to the filter output
ImageType::Pointer outputImage = minimumImageFilter->GetOutput();
// Execute the filter
minimumImageFilter->Update();
// Test some pixels in the result image
// Note that we are not comparing the entirety of the filter output in order
// to keep compile time as small as possible
ImageType::IndexType pixelIndex = { { 0, 1, 1 } };
ITK_TEST_EXPECT_EQUAL(outputImage->GetPixel(start), smallPixelValue);
ITK_TEST_EXPECT_EQUAL(outputImage->GetPixel(pixelIndex), smallPixelValue);
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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