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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 <ctime>
#include <iostream>
#include "itkIndex.h"
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkImageFileWriter.h"
#include "itkMaskFeaturePointSelectionFilter.h"
#include "itkImageFileReader.h"
#include "itkRGBPixel.h"
#include "itkRegionOfInterestImageFilter.h"
#include "itkTestingMacros.h"
int
itkMaskFeaturePointSelectionFilterTest(int argc, char * argv[])
{
if (argc < 7)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv)
<< " inputImageFile outputImageFile nonConnectivity blockRadius computeStructureTensors selectFraction "
"[maskImage]"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
using InputPixelType = unsigned char;
using OutputPixelType = itk::RGBPixel<InputPixelType>;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using PointSetPixelType = itk::Matrix<itk::SpacePrecisionType, Dimension, Dimension>;
using PointSetType = itk::PointSet<PointSetPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
using FilterType = itk::MaskFeaturePointSelectionFilter<InputImageType, InputImageType, PointSetType>;
// Set up the reader
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
// Set up filter
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, MaskFeaturePointSelectionFilter, ImageToMeshFilter);
filter->SetInput(reader->GetOutput());
// Test exceptions
unsigned int nonConnectivity = Dimension;
filter->SetNonConnectivity(nonConnectivity);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
nonConnectivity = static_cast<unsigned int>(std::stoi(argv[3]));
filter->SetNonConnectivity(nonConnectivity);
ITK_TEST_SET_GET_VALUE(nonConnectivity, filter->GetNonConnectivity());
auto blockRadiusValue = static_cast<typename FilterType::SizeType::SizeValueType>(std::stod(argv[4]));
typename FilterType::SizeType blockRadius;
blockRadius.Fill(blockRadiusValue);
filter->SetBlockRadius(blockRadius);
ITK_TEST_SET_GET_VALUE(blockRadius, filter->GetBlockRadius());
auto computeStructureTensors = static_cast<bool>(std::stoi(argv[5]));
ITK_TEST_SET_GET_BOOLEAN(filter, ComputeStructureTensors, computeStructureTensors);
auto selectFraction = std::stod(argv[6]);
filter->SetSelectFraction(selectFraction);
ITK_TEST_SET_GET_VALUE(selectFraction, filter->GetSelectFraction());
// Use the whole input image as a mask if none is provided
using MaskPixelType = unsigned char;
using MaskImageType = itk::Image<MaskPixelType, Dimension>;
MaskImageType::Pointer maskImage;
if (argc >= 8)
{
maskImage = itk::ReadImage<InputImageType>(argv[7]);
filter->SetMaskImage(maskImage);
ITK_TEST_SET_GET_VALUE(maskImage, filter->GetMaskImage());
}
filter->SetMaskImage(maskImage);
ITK_TEST_SET_GET_VALUE(maskImage, filter->GetMaskImage());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Set up the writer
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
using InputIteratorType = itk::ImageRegionConstIterator<InputImageType>;
InputIteratorType inputIterator(reader->GetOutput(), reader->GetOutput()->GetBufferedRegion());
using OutputIteratorType = itk::ImageRegionIterator<OutputImageType>;
auto outputImage = OutputImageType::New();
outputImage->CopyInformation(reader->GetOutput());
outputImage->SetBufferedRegion(reader->GetOutput()->GetBufferedRegion());
outputImage->SetRequestedRegion(reader->GetOutput()->GetRequestedRegion());
outputImage->Allocate();
OutputIteratorType outputIterator(outputImage, outputImage->GetBufferedRegion());
inputIterator.GoToBegin();
outputIterator.GoToBegin();
// Copy input image to output image
while (!outputIterator.IsAtEnd())
{
OutputPixelType rgbPixel;
rgbPixel.SetRed(inputIterator.Get());
rgbPixel.SetGreen(inputIterator.Get());
rgbPixel.SetBlue(inputIterator.Get());
outputIterator.Set(rgbPixel);
++outputIterator;
++inputIterator;
}
// Highlight the feature points identified in the output image
using PointIteratorType = PointSetType::PointsContainer::ConstIterator;
PointIteratorType pointItr = filter->GetOutput()->GetPoints()->Begin();
PointIteratorType pointEnd = filter->GetOutput()->GetPoints()->End();
OutputImageType::IndexType index;
// Highlight the feature point in red color
OutputPixelType colorValue;
colorValue.SetRed(255u);
colorValue.SetGreen(0u);
colorValue.SetBlue(0u);
while (pointItr != pointEnd)
{
if (outputImage->TransformPhysicalPointToIndex(pointItr.Value(), index))
{
outputImage->SetPixel(index, colorValue);
}
pointItr++;
}
writer->SetFileName(argv[2]);
writer->SetInput(outputImage);
writer->Update();
return EXIT_SUCCESS;
}
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