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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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkLabelImageToLabelMapFilter.h"
#include "itkLabelMapMaskImageFilter.h"
#include "itkTestingMacros.h"
int
itkLabelMapMaskImageFilterTest(int argc, char * argv[])
{
if (argc != 9)
{
std::cerr << "usage: " << itkNameOfTestExecutableMacro(argv)
<< " labelImage input output label bg neg crop cropBorder" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
// Declare the pixel type
using PixelType = unsigned char;
// Declare the input image type
using ImageType = itk::Image<PixelType, Dimension>;
// And the label object type to use. The input image is a label image, so the
// type of the label can be the same type than the pixel type. itk::LabelObject is
// chosen, because only the mask feature is tested here, so we don't need any
// attribute.
using LabelObjectType = itk::LabelObject<PixelType, Dimension>;
using LabelMapType = itk::LabelMap<LabelObjectType>;
// Read the label image and the input image to be masked.
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
// Convert the label image to a label collection image.
using I2LType = itk::LabelImageToLabelMapFilter<ImageType, LabelMapType>;
auto i2l = I2LType::New();
i2l->SetInput(reader->GetOutput());
// i2l->SetUseBackground( true );
// Then mask the image. Two inputs are required (the label collection image, and
// the image to be masked). The label used to mask the image is passed with the
// SetLabel() method. The background in the output image, where the image is masked,
// is passed with SetBackground(). The user can choose to mask the image outside the
// label object (that's the default behavior), or inside the label object with the
// chosen label, by calling SetNegated(). Finally, the image can be cropped to the
// masked region, by calling SetCrop( true ), or to a region padded by a border, by
// calling both SetCrop() and SetCropBorder(). The crop border defaults to 0, and the
// image is not cropped by default.
using MaskFilterType = itk::LabelMapMaskImageFilter<LabelMapType, ImageType>;
auto maskFilter = MaskFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(maskFilter, LabelMapMaskImageFilter, LabelMapFilter);
maskFilter->SetInput(i2l->GetOutput());
maskFilter->SetFeatureImage(reader2->GetOutput());
MaskFilterType::InputImagePixelType label = std::stoi(argv[4]);
maskFilter->SetLabel(label);
ITK_TEST_SET_GET_VALUE(label, maskFilter->GetLabel());
MaskFilterType::OutputImagePixelType backgroundValue = std::stoi(argv[5]);
maskFilter->SetBackgroundValue(backgroundValue);
ITK_TEST_SET_GET_VALUE(backgroundValue, maskFilter->GetBackgroundValue());
auto negated = static_cast<bool>(std::stoi(argv[6]));
maskFilter->SetNegated(negated);
ITK_TEST_SET_GET_VALUE(negated, maskFilter->GetNegated());
if (negated)
{
maskFilter->NegatedOn();
ITK_TEST_SET_GET_VALUE(true, maskFilter->GetNegated());
}
else
{
maskFilter->NegatedOff();
ITK_TEST_SET_GET_VALUE(false, maskFilter->GetNegated());
}
auto crop = static_cast<bool>(std::stoi(argv[7]));
maskFilter->SetCrop(crop);
ITK_TEST_SET_GET_VALUE(crop, maskFilter->GetCrop());
if (crop)
{
maskFilter->CropOn();
ITK_TEST_SET_GET_VALUE(true, maskFilter->GetCrop());
}
else
{
maskFilter->CropOff();
ITK_TEST_SET_GET_VALUE(false, maskFilter->GetCrop());
}
MaskFilterType::SizeType border;
border.Fill(std::stoi(argv[8]));
maskFilter->SetCropBorder(border);
ITK_TEST_SET_GET_VALUE(border, maskFilter->GetCropBorder());
itk::SimpleFilterWatcher watcher(maskFilter, "LabelMapMaskImageFilter");
// Finally, save the output image.
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(maskFilter->GetOutput());
writer->SetFileName(argv[3]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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