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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 "itkGTest.h"
#include "itkTileImageFilter.h"
#include "itkVectorImage.h"
#include "itkTestDriverIncludeRequiredFactories.h"
#include "itkTestingHashImageFilter.h"
namespace
{
class TileImageFixture : public ::testing::Test
{
public:
TileImageFixture() = default;
~TileImageFixture() override = default;
protected:
void
SetUp() override
{
RegisterRequiredFactories();
}
template <typename TImageType>
static std::string
MD5Hash(const TImageType * image)
{
using HashFilter = itk::Testing::HashImageFilter<TImageType>;
auto hasher = HashFilter::New();
hasher->SetInput(image);
hasher->Update();
return hasher->GetHash();
}
template <typename TImage>
struct FixtureUtilities
{
static const unsigned int Dimension = TImage::ImageDimension;
using PixelType = typename TImage::PixelType;
using OutputPixelType = PixelType;
using InputImageType = TImage;
using OutputImageType = TImage;
using RegionType = typename InputImageType::RegionType;
using FilterType = itk::TileImageFilter<InputImageType, OutputImageType>;
// Create a black image or empty
static typename InputImageType::Pointer
CreateImage(unsigned int size = 100)
{
auto image = InputImageType::New();
typename InputImageType::SizeType imageSize;
imageSize.Fill(size);
image->SetRegions(RegionType(imageSize));
image->Allocate();
image->FillBuffer(0);
return image;
}
};
};
} // namespace
TEST_F(TileImageFixture, SetGetPrint)
{
using Utils = FixtureUtilities<itk::Image<unsigned char, 3>>;
auto filter = Utils::FilterType::New();
filter->Print(std::cout);
typename Utils::FilterType::ConstPointer constfilter = (const Utils::FilterType *)(filter.GetPointer());
EXPECT_STREQ("TileImageFilter", filter->GetNameOfClass());
EXPECT_STREQ("ImageToImageFilter", filter->Superclass::GetNameOfClass());
Utils::FilterType::LayoutArrayType layout(99);
EXPECT_NO_THROW(filter->SetLayout(layout));
ITK_EXPECT_VECTOR_NEAR(layout, filter->GetLayout(), 0);
EXPECT_NO_THROW(filter->SetDefaultPixelValue(99));
EXPECT_EQ(99, filter->GetDefaultPixelValue());
}
TEST_F(TileImageFixture, VectorImage)
{
using namespace itk::GTest::TypedefsAndConstructors::Dimension2;
using ImageType = itk::VectorImage<unsigned char, 2>;
auto image = ImageType::New();
typename ImageType::SizeType imageSize = itk::MakeSize(10, 10);
const unsigned int numberOfComponents = 5;
ImageType::PixelType v(numberOfComponents);
v[0] = 2;
v[1] = 3;
v[2] = 5;
v[3] = 7;
v[4] = 11;
image->SetRegions(ImageType::RegionType(imageSize));
image->SetNumberOfComponentsPerPixel(numberOfComponents);
image->Allocate();
image->FillBuffer(v);
using FilterType = itk::TileImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
FilterType::LayoutArrayType layout(2);
EXPECT_NO_THROW(filter->SetLayout(layout));
ITK_EXPECT_VECTOR_NEAR(layout, filter->GetLayout(), 0);
filter->SetInput(0, image);
filter->SetInput(1, image);
filter->SetInput(2, image);
filter->SetInput(3, image);
EXPECT_NO_THROW(filter->Update());
EXPECT_EQ("2258f8cfbd7395bea0bc09ab3f69b058", MD5Hash(filter->GetOutput()));
EXPECT_EQ(5, filter->GetOutput()->GetNumberOfComponentsPerPixel());
layout[0] = 4;
layout[1] = 1;
EXPECT_NO_THROW(filter->SetLayout(layout));
ITK_EXPECT_VECTOR_NEAR(layout, filter->GetLayout(), 0);
EXPECT_NO_THROW(filter->UpdateLargestPossibleRegion());
EXPECT_EQ("2258f8cfbd7395bea0bc09ab3f69b058", MD5Hash(filter->GetOutput()));
EXPECT_EQ(5, filter->GetOutput()->GetNumberOfComponentsPerPixel());
layout[0] = 1;
layout[1] = 4;
EXPECT_NO_THROW(filter->SetLayout(layout));
ITK_EXPECT_VECTOR_NEAR(layout, filter->GetLayout(), 0);
EXPECT_NO_THROW(filter->UpdateLargestPossibleRegion());
EXPECT_EQ("2258f8cfbd7395bea0bc09ab3f69b058", MD5Hash(filter->GetOutput()));
EXPECT_EQ(5, filter->GetOutput()->GetNumberOfComponentsPerPixel());
layout[0] = 1;
layout[1] = 10;
EXPECT_NO_THROW(filter->SetLayout(layout));
ITK_EXPECT_VECTOR_NEAR(layout, filter->GetLayout(), 0);
EXPECT_NO_THROW(filter->UpdateLargestPossibleRegion());
EXPECT_EQ("dd8552dd79d605d653872af827f2d1a5", MD5Hash(filter->GetOutput()));
EXPECT_EQ(5, filter->GetOutput()->GetNumberOfComponentsPerPixel());
auto image2 = ImageType::New();
image2->SetNumberOfComponentsPerPixel(numberOfComponents - 1);
image2->Allocate();
filter->SetInput(1, image2);
EXPECT_ANY_THROW(filter->Update());
}
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