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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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
*
* http://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.
*
*=========================================================================*/
// First include the header file to be tested:
#include "itkImageRandomSamplerSparseMask.h"
#include "elxDefaultConstruct.h"
#include "GTesting/elxCoreMainGTestUtilities.h"
// ITK header files:
#include <itkDeref.h>
#include <itkImage.h>
#include <itkMersenneTwisterRandomVariateGenerator.h>
#include <gtest/gtest.h>
#include <array>
#include <itkImageMaskSpatialObject.h>
// Using-declarations:
using elx::CoreMainGTestUtilities::DerefSmartPointer;
using elx::CoreMainGTestUtilities::minimumImageSizeValue;
using elx::CoreMainGTestUtilities::CreateImage;
using elx::CoreMainGTestUtilities::CreateImageFilledWithSequenceOfNaturalNumbers;
using elx::CoreMainGTestUtilities::FillImageRegion;
using elx::CoreMainGTestUtilities::ImageDomain;
using itk::Deref;
using itk::Statistics::MersenneTwisterRandomVariateGenerator;
GTEST_TEST(ImageRandomSamplerSparseMask, CheckImageValuesOfSamples)
{
using PixelType = int;
static constexpr auto Dimension = 2;
using ImageType = itk::Image<PixelType, Dimension>;
using MaskSpatialObjectType = itk::ImageMaskSpatialObject<Dimension>;
// Use a fixed seed, in order to have a reproducible sampler output.
DerefSmartPointer(MersenneTwisterRandomVariateGenerator::GetInstance()).SetSeed(1);
const auto imageSize = ImageType::SizeType::Filled(minimumImageSizeValue);
const auto image = CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(imageSize);
const auto maskImage = CreateImage<MaskSpatialObjectType::PixelType>(imageSize);
FillImageRegion(*maskImage, itk::Index<Dimension>::Filled(1), ImageType::SizeType::Filled(minimumImageSizeValue - 1));
const auto maskSpatialObject = MaskSpatialObjectType::New();
maskSpatialObject->SetImage(maskImage);
maskSpatialObject->Update();
elx::DefaultConstruct<itk::ImageRandomSamplerSparseMask<ImageType>> sampler{};
const size_t numberOfSamples{ 3 };
sampler.SetInput(image);
sampler.SetMask(maskSpatialObject);
sampler.SetNumberOfSamples(numberOfSamples);
sampler.Update();
const auto & samples = Deref(sampler.GetOutput()).CastToSTLConstContainer();
ASSERT_EQ(samples.size(), numberOfSamples);
// The image values that appeared during the development of the test.
const std::array<PixelType, numberOfSamples> expectedImageValues = { 12, 16, 12 };
for (size_t i{}; i < numberOfSamples; ++i)
{
EXPECT_EQ(samples[i].m_ImageValue, expectedImageValues[i]);
}
}
GTEST_TEST(ImageRandomSamplerSparseMask, SetSeedMakesRandomizationDeterministic)
{
using PixelType = int;
static constexpr auto Dimension = 2;
using ImageType = itk::Image<PixelType, Dimension>;
using SamplerType = itk::ImageRandomSamplerSparseMask<ImageType>;
using MaskSpatialObjectType = itk::ImageMaskSpatialObject<Dimension>;
const auto image =
CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(ImageType::SizeType::Filled(minimumImageSizeValue));
const auto maskImage = CreateImage<MaskSpatialObjectType::PixelType>(ImageDomain(*image));
FillImageRegion(*maskImage, itk::Index<Dimension>::Filled(1), ImageType::SizeType::Filled(minimumImageSizeValue - 1));
const auto maskSpatialObject = MaskSpatialObjectType::New();
maskSpatialObject->SetImage(maskImage);
maskSpatialObject->Update();
for (const SamplerType::SeedIntegerType seed : { 0, 1 })
{
const auto generateSamples = [seed, image, maskSpatialObject] {
elx::DefaultConstruct<SamplerType> sampler{};
DerefSmartPointer(MersenneTwisterRandomVariateGenerator::GetInstance()).SetSeed(seed);
sampler.SetInput(image);
sampler.SetMask(maskSpatialObject);
sampler.Update();
return std::move(Deref(sampler.GetOutput()).CastToSTLContainer());
};
const auto samples = generateSamples();
// The test would be trivial (uninteresting) if there were no samples. Note that itk::ImageSamplerBase does
// zero-initialize m_NumberOfSamples, but itk::ImageRandomSamplerBase does m_NumberOfSamples = 1000 afterwards.
EXPECT_FALSE(samples.empty());
// Do the same test another time, to check that the result remains the same.
EXPECT_EQ(generateSamples(), samples);
}
}
GTEST_TEST(ImageRandomSamplerSparseMask, HasSameOutputWhenUsingMultiThread)
{
using PixelType = int;
static constexpr auto Dimension = 2;
using ImageType = itk::Image<PixelType, Dimension>;
using SamplerType = itk::ImageRandomSamplerSparseMask<ImageType>;
using MaskSpatialObjectType = itk::ImageMaskSpatialObject<Dimension>;
const auto image =
CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(ImageType::SizeType::Filled(minimumImageSizeValue));
const auto maskImage = CreateImage<MaskSpatialObjectType::PixelType>(ImageDomain(*image));
FillImageRegion(*maskImage, itk::Index<Dimension>::Filled(1), ImageType::SizeType::Filled(minimumImageSizeValue - 1));
const auto maskSpatialObject = MaskSpatialObjectType::New();
maskSpatialObject->SetImage(maskImage);
maskSpatialObject->Update();
const auto generateSamples = [image, maskSpatialObject](const bool useMultiThread) {
DerefSmartPointer(MersenneTwisterRandomVariateGenerator::GetInstance()).SetSeed(1);
elx::DefaultConstruct<SamplerType> sampler{};
sampler.SetUseMultiThread(useMultiThread);
sampler.SetInput(image);
sampler.SetMask(maskSpatialObject);
sampler.Update();
return std::move(Deref(sampler.GetOutput()).CastToSTLContainer());
};
EXPECT_EQ(generateSamples(true), generateSamples(false));
}
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