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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.
*
*=========================================================================*/
// First include the header file to be tested:
#include "itkSumOfSquaresImageFunction.h"
#include "itkRectangularImageNeighborhoodShape.h"
#include "itkImage.h"
#include "itkImageBufferRange.h"
#include "itkIndexRange.h"
#include "itkTestingMacros.h"
#include <gtest/gtest.h>
#include <numeric> // For std::accumulate.
#include <type_traits> // For std::is_reference.
// Test template instantiations for various template arguments:
template class itk::SumOfSquaresImageFunction<itk::Image<short, 1>>;
template class itk::SumOfSquaresImageFunction<itk::Image<short, 2>>;
template class itk::SumOfSquaresImageFunction<itk::Image<short, 3>>;
template class itk::SumOfSquaresImageFunction<itk::Image<short, 3>, double>;
namespace
{
// Creates a test image, filled with a sequence of natural numbers, 1, 2, 3, ..., N.
template <typename TImage>
typename TImage::Pointer
CreateImageFilledWithSequenceOfNaturalNumbers(const typename TImage::SizeType & imageSize)
{
using PixelType = typename TImage::PixelType;
const auto image = TImage::New();
image->SetRegions(imageSize);
image->Allocate();
const auto imageBufferRange = itk::ImageBufferRange{ *image };
std::iota(imageBufferRange.begin(), imageBufferRange.end(), PixelType{ 1 });
return image;
}
template <typename TImage>
void
Expect_EvaluateAtIndex_returns_zero_when_all_pixels_are_zero(const typename TImage::SizeType & imageSize)
{
const auto image = TImage::New();
image->SetRegions(imageSize);
image->AllocateInitialized();
const auto imageFunction = itk::SumOfSquaresImageFunction<TImage>::New();
imageFunction->SetInputImage(image);
for (const auto index : itk::ZeroBasedIndexRange<TImage::ImageDimension>{ imageSize })
{
EXPECT_EQ(imageFunction->EvaluateAtIndex(index), 0);
}
}
template <typename TImage>
void
Expect_EvaluateAtIndex_returns_number_of_neigbors_when_all_pixels_are_one(const typename TImage::SizeType & imageSize,
const unsigned int radius)
{
const auto image = TImage::New();
image->SetRegions(imageSize);
image->Allocate();
image->FillBuffer(1);
const auto imageFunction = itk::SumOfSquaresImageFunction<TImage>::New();
imageFunction->SetInputImage(image);
imageFunction->SetNeighborhoodRadius(radius);
const auto numberOfNeighbors = std::pow(2.0 * radius + 1.0, TImage::ImageDimension);
for (const auto index : itk::ZeroBasedIndexRange<TImage::ImageDimension>{ imageSize })
{
EXPECT_EQ(imageFunction->EvaluateAtIndex(index), numberOfNeighbors);
}
}
template <typename TImage>
int
TestBasicObjectProperties()
{
const auto imageFunction = itk::SumOfSquaresImageFunction<TImage>::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(imageFunction, SumOfSquaresImageFunction, ImageFunction);
unsigned int radius = 1;
imageFunction->SetNeighborhoodRadius(radius);
EXPECT_EQ(radius, imageFunction->GetNeighborhoodRadius());
auto size = TImage::SizeType::Filled(radius);
const itk::RectangularImageNeighborhoodShape<TImage::ImageDimension> shape(size);
unsigned int neighborhoodSize = shape.GetNumberOfOffsets();
EXPECT_EQ(neighborhoodSize, imageFunction->GetNeighborhoodSize());
return EXIT_SUCCESS;
}
} // namespace
TEST(SumOfSquaresImageFunction, BasicObjectProperties)
{
int testStatus = TestBasicObjectProperties<itk::Image<double, 2>>();
EXPECT_EQ(testStatus, EXIT_SUCCESS);
testStatus = TestBasicObjectProperties<itk::Image<unsigned char, 3>>();
EXPECT_EQ(testStatus, EXIT_SUCCESS);
}
// Tests that EvaluateAtIndex returns zero when all pixels are zero.
TEST(SumOfSquaresImageFunction, EvaluateAtIndexReturnsZeroWhenAllPixelsAreZero)
{
Expect_EvaluateAtIndex_returns_zero_when_all_pixels_are_zero<itk::Image<double, 2>>(itk::Size<2>{ { 2, 3 } });
Expect_EvaluateAtIndex_returns_zero_when_all_pixels_are_zero<itk::Image<unsigned char, 3>>(
itk::Size<3>{ { 2, 3, 4 } });
}
// Tests that EvaluateAtIndex returns the number of neighborhood pixels when all pixels are one.
TEST(SumOfSquaresImageFunction, EvaluateAtIndexReturnsNumberOfNeighborsWhenAllPixelsAreOne)
{
for (unsigned int radius{}; radius <= 2; ++radius)
{
Expect_EvaluateAtIndex_returns_number_of_neigbors_when_all_pixels_are_one<itk::Image<double, 2>>(
itk::Size<2>{ { 2, 3 } }, radius);
Expect_EvaluateAtIndex_returns_number_of_neigbors_when_all_pixels_are_one<itk::Image<unsigned char, 3>>(
itk::Size<3>{ { 2, 3, 4 } }, radius);
}
}
// Tests EvaluateAtIndex at the center pixel index (1, 1) of a 3x3 image.
TEST(SumOfSquaresImageFunction, EvaluateAtCenterPixelOfImageOfSize3x3)
{
using ImageType = itk::Image<int>;
const auto image = CreateImageFilledWithSequenceOfNaturalNumbers<ImageType>({ { 3, 3 } });
const auto imageFunction = itk::SumOfSquaresImageFunction<ImageType>::New();
imageFunction->SetInputImage(image);
const auto imageBufferRange = itk::ImageBufferRange{ *image };
// Sum of squares of all pixels of the image:
const auto expectedResult = std::accumulate(
imageBufferRange.cbegin(), imageBufferRange.cend(), 0.0, [](const double sum, const int pixelValue) {
return sum + (pixelValue * pixelValue);
});
// Note that in this particular case, the image and the neighborhood have the same size!
EXPECT_EQ(imageFunction->EvaluateAtIndex(itk::Index<>{ { 1, 1 } }), expectedResult);
}
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