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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 "itkSimpleFilterWatcher.h"
#include "itkImageFileWriter.h"
#include "itkGaussianImageSource.h"
#include "itkTestingMacros.h"
#include "itkMath.h"
int
itkGaussianImageSourceTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << " outputImage normalized" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
// Create a Gaussian image source
using GaussianSourceType = itk::GaussianImageSource<ImageType>;
auto gaussianImage = GaussianSourceType::New();
ImageType::SpacingValueType spacing[] = { 1.2f, 1.3f, 1.4f };
ImageType::PointValueType origin[] = { 1.0f, 4.0f, 2.0f };
ImageType::SizeValueType size[] = { 130, 150, 120 };
ImageType::DirectionType direction;
direction.SetIdentity();
GaussianSourceType::ArrayType mean;
mean[0] = size[0] / 2.0f + origin[0];
mean[1] = size[1] / 2.0f + origin[1];
mean[2] = size[2] / 2.0f + origin[2];
GaussianSourceType::ArrayType sigma;
sigma[0] = 25.0f;
sigma[1] = 35.0f;
sigma[2] = 55.0f;
gaussianImage->SetSize(size);
for (unsigned int i = 0; i < Dimension; ++i)
{
ITK_TEST_SET_GET_VALUE(size[i], gaussianImage->GetSize()[i]);
}
gaussianImage->SetOrigin(origin);
for (unsigned int i = 0; i < Dimension; ++i)
{
ITK_TEST_SET_GET_VALUE(origin[i], gaussianImage->GetOrigin()[i]);
}
gaussianImage->SetSpacing(spacing);
for (unsigned int i = 0; i < Dimension; ++i)
{
ITK_TEST_SET_GET_VALUE(spacing[i], gaussianImage->GetSpacing()[i]);
}
gaussianImage->SetDirection(direction);
ITK_TEST_SET_GET_VALUE(direction, gaussianImage->GetDirection());
// Test SetReferenceImage from GenerateImageSource base class.
auto referenceImage = ImageType::New();
ImageType::IndexType startIndex;
startIndex.Fill(0);
ImageType::SizeType referenceSize;
referenceSize.SetSize(size);
ImageType::RegionType region(startIndex, referenceSize);
referenceImage->SetRegions(region);
referenceImage->Allocate();
referenceImage->FillBuffer(0);
referenceImage->SetOrigin(origin);
referenceImage->SetSpacing(spacing);
referenceImage->SetDirection(direction);
gaussianImage->SetReferenceImage(referenceImage);
bool useReferenceImage = true;
ITK_TEST_SET_GET_BOOLEAN(gaussianImage, UseReferenceImage, useReferenceImage);
gaussianImage->SetReferenceImage(referenceImage);
ITK_TEST_SET_GET_VALUE(referenceImage, gaussianImage->GetReferenceImage());
gaussianImage->SetOutputParametersFromImage(referenceImage);
bool normalized = std::stoi(argv[2]) != 0;
ITK_TEST_SET_GET_BOOLEAN(gaussianImage, Normalized, normalized);
gaussianImage->SetMean(mean);
ITK_TEST_SET_GET_VALUE(mean, gaussianImage->GetMean());
gaussianImage->SetSigma(sigma);
ITK_TEST_SET_GET_VALUE(sigma, gaussianImage->GetSigma());
// Check the parameters
GaussianSourceType::ParametersType params = gaussianImage->GetParameters();
if (params.GetSize() != 7)
{
std::cerr << "Incorrect number of parameters. Expected 7, got " << params.GetSize() << '.' << std::endl;
return EXIT_FAILURE;
}
if (itk::Math::NotAlmostEquals(params[0], sigma[0]) || itk::Math::NotAlmostEquals(params[1], sigma[1]) ||
itk::Math::NotAlmostEquals(params[2], sigma[2]))
{
std::cerr << "Parameters have incorrect sigma value." << std::endl;
return EXIT_FAILURE;
}
if (itk::Math::NotAlmostEquals(params[3], mean[0]) || itk::Math::NotAlmostEquals(params[4], mean[1]) ||
itk::Math::NotAlmostEquals(params[5], mean[2]))
{
std::cerr << "Parameters have incorrect mean value." << std::endl;
return EXIT_FAILURE;
}
if (itk::Math::NotAlmostEquals(params[6], gaussianImage->GetScale()))
{
std::cerr << "Parameters have incorrect scale value." << std::endl;
return EXIT_FAILURE;
}
params[0] = 12.0;
params[1] = 13.0;
params[2] = 14.0;
params[3] = 22.0;
params[4] = 32.0;
params[5] = 42.0;
params[6] = 55.5;
gaussianImage->SetParameters(params);
if (itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[0], params[0]) ||
itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[1], params[1]) ||
itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[2], params[2]))
{
std::cerr << "Sigma disagrees with parameters array." << std::endl;
std::cerr << "Sigma: " << gaussianImage->GetSigma() << ", parameters: [" << params[0] << ", " << params[1] << ", "
<< params[2] << ']' << std::endl;
return EXIT_FAILURE;
}
if (itk::Math::NotAlmostEquals(gaussianImage->GetMean()[0], params[3]) ||
itk::Math::NotAlmostEquals(gaussianImage->GetMean()[1], params[4]) ||
itk::Math::NotAlmostEquals(gaussianImage->GetMean()[2], params[5]))
{
std::cerr << "Mean disagrees with parameters array." << std::endl;
std::cerr << "Mean: " << gaussianImage->GetMean() << ", parameters: [" << params[3] << ", " << params[4] << ", "
<< params[5] << ']' << std::endl;
return EXIT_FAILURE;
}
if (itk::Math::NotAlmostEquals(gaussianImage->GetScale(), params[6]))
{
std::cerr << "Scale disagrees with parameters array." << std::endl;
std::cerr << "Scale: " << gaussianImage->GetScale() << ", parameters: " << params[6] << std::endl;
return EXIT_FAILURE;
}
itk::SimpleFilterWatcher watcher(gaussianImage, "GaussianImageSource");
// Run the pipeline
ITK_TRY_EXPECT_NO_EXCEPTION(gaussianImage->Update());
// Get the output of the image source
ImageType::Pointer outputImage = gaussianImage->GetOutput();
// Write the result image
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[1]);
writer->SetInput(outputImage);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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