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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 <iostream>
#include "itkCropImageFilter.h"
#include "itkTestingMacros.h"
int
itkCropImageFilter3DTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int ImageDimension = 3;
// Declare the pixel types of the images
using PixelType = unsigned short;
// Declare the types of the images
using ImageType = itk::Image<PixelType, ImageDimension>;
ImageType::RegionType region;
const unsigned int dimSize(8);
ImageType::RegionType::SizeType size = { { dimSize, dimSize, dimSize } };
ImageType::RegionType::IndexType index = { { 0, 0, 0 } };
region.SetSize(size);
region.SetIndex(index);
auto image = ImageType::New();
image->SetRegions(region);
image->Allocate();
itk::ImageRegionIterator<ImageType> it(image, region);
for (unsigned short i = 0; !it.IsAtEnd(); ++it, ++i)
{
it.Set(i);
}
itk::CropImageFilter<ImageType, ImageType>::Pointer cropFilter = itk::CropImageFilter<ImageType, ImageType>::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(cropFilter, CropImageFilter, ExtractImageFilter);
cropFilter->SetInput(image);
// Set the filter properties
ImageType::SizeType extractSize = { { 1, 1, 1 } };
cropFilter->SetBoundaryCropSize(extractSize);
cropFilter->SetUpperBoundaryCropSize(extractSize);
ITK_TEST_SET_GET_VALUE(extractSize, cropFilter->GetUpperBoundaryCropSize());
cropFilter->SetLowerBoundaryCropSize(extractSize);
ITK_TEST_SET_GET_VALUE(extractSize, cropFilter->GetLowerBoundaryCropSize());
ITK_TRY_EXPECT_NO_EXCEPTION(cropFilter->Update());
ImageType::Pointer croppedImage = cropFilter->GetOutput();
// check size of cropped image
ImageType::RegionType::SizeType croppedSize = croppedImage->GetLargestPossibleRegion().GetSize();
for (unsigned int i = 0; i < ImageType::RegionType::SizeType::GetSizeDimension(); ++i)
{
if (croppedSize[i] != dimSize - 2)
{
std::cerr << "Unexpected cropped Image size[" << i << "] = " << croppedSize[i] << ". Expected " << dimSize
<< std::endl;
return EXIT_FAILURE;
}
}
ImageType::RegionType subRegion;
ImageType::RegionType::SizeType subSize = { { dimSize - 2, dimSize - 2, dimSize - 2 } };
ImageType::RegionType::IndexType subIndex = { { 1, 1, 1 } };
subRegion.SetSize(subSize);
subRegion.SetIndex(subIndex);
itk::ImageRegionIterator<ImageType> it1(image, subRegion);
itk::ImageRegionIterator<ImageType> it2(croppedImage, croppedImage->GetLargestPossibleRegion());
for (; !it1.IsAtEnd() && !it2.IsAtEnd(); ++it1, ++it2)
{
if (it1.Get() != it2.Get())
{
std::cerr << "Expected Pixel " << it1.Get() << " saw " << it2.Get() << " instead." << std::endl;
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
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