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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 "itkAffineTransform.h"
#include "itkResampleImageFilter.h"
#include "itkTimeProbe.h"
#include "itkTestingMacros.h"
int
itkResampleImageTest4(int argc, char * argv[])
{
constexpr unsigned int VDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, VDimension>;
using ImageIndexType = ImageType::IndexType;
using ImagePointerType = ImageType::Pointer;
using ImageRegionType = ImageType::RegionType;
using ImageSizeType = ImageType::SizeType;
using CoordRepType = double;
using AffineTransformType = itk::AffineTransform<CoordRepType, VDimension>;
using InterpolatorType = itk::LinearInterpolateImageFunction<ImageType, CoordRepType>;
float scaling = 10.0;
if (argc > 1)
{
scaling = std::stod(argv[1]);
}
// Create and configure an image
ImagePointerType image = ImageType::New();
ImageIndexType index = { { 0, 0 } };
ImageSizeType size = { { 64, 64 } };
ImageRegionType region{ index, size };
image->SetRegions(region);
image->Allocate();
auto newDims = static_cast<unsigned int>(64 * scaling);
ImageSizeType osize = { { newDims, newDims } };
ImageType::SpacingType spacing;
spacing[0] = size[0] / static_cast<double>(osize[0]);
spacing[1] = size[1] / static_cast<double>(osize[1]);
// Fill image with a ramp
itk::ImageRegionIteratorWithIndex<ImageType> iter(image, region);
PixelType value;
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
index = iter.GetIndex();
value = index[0] + index[1];
iter.Set(value);
}
// Create an affine transformation
auto aff = AffineTransformType::New();
aff->Scale(0.9);
// Create a linear interpolation image function
auto interp = InterpolatorType::New();
interp->SetInputImage(image);
// Create and configure a resampling filter
itk::ResampleImageFilter<ImageType, ImageType>::Pointer resample =
itk::ResampleImageFilter<ImageType, ImageType>::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(resample, ResampleImageFilter, ImageToImageFilter);
resample->SetInterpolator(interp);
resample->SetInput(image);
ITK_TEST_SET_GET_VALUE(image, resample->GetInput());
resample->SetSize(osize);
ITK_TEST_SET_GET_VALUE(osize, resample->GetSize());
resample->SetTransform(aff);
ITK_TEST_SET_GET_VALUE(aff, resample->GetTransform());
resample->SetInterpolator(interp);
ITK_TEST_SET_GET_VALUE(interp, resample->GetInterpolator());
index.Fill(0);
resample->SetOutputStartIndex(index);
ITK_TEST_SET_GET_VALUE(index, resample->GetOutputStartIndex());
ImageType::PointType origin;
origin.Fill(0.0);
resample->SetOutputOrigin(origin);
ITK_TEST_SET_GET_VALUE(origin, resample->GetOutputOrigin());
resample->SetOutputSpacing(spacing);
ITK_TEST_SET_GET_VALUE(spacing, resample->GetOutputSpacing());
// Run the resampling filter
itk::TimeProbe clock;
clock.Start();
std::cout << "Input: " << image << std::endl;
resample->UpdateLargestPossibleRegion();
clock.Stop();
std::cout << "Resampling from " << size << " to " << osize << " took " << clock.GetMean() << " s" << std::endl;
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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