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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 "itkThresholdLabelerImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkTestingMacros.h"
int
ThresholdLabelerImageFilterTestHelper(bool useRealTypeThresholds)
{
//
// The following code defines the input and output pixel types and their
// associated image types.
//
constexpr unsigned int Dimension = 2;
using InputPixelType = float;
using LabeledPixelType = unsigned long;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using LabeledImageType = itk::Image<LabeledPixelType, Dimension>;
// Create an image with stripes to label
InputImageType::IndexType index = { { 0, 0 } };
InputImageType::SizeType size = { { 32, 32 } };
InputImageType::RegionType region{ index, size };
auto inputImage = InputImageType::New();
inputImage->SetLargestPossibleRegion(region);
inputImage->SetBufferedRegion(region);
inputImage->Allocate();
size[0] = 32;
size[1] = 8;
region.SetSize(size);
// Stripe y indexes
using IndexValueVectorType = std::vector<InputImageType::IndexType::IndexValueType>;
IndexValueVectorType yindexes;
yindexes.push_back(0);
yindexes.push_back(8);
yindexes.push_back(16);
yindexes.push_back(24);
// Set the values for each stripe
std::vector<InputPixelType> values;
values.push_back(0.5);
values.push_back(1.5);
values.push_back(2.5);
values.push_back(3.5);
// Set the value for the offset
unsigned long offset = 4;
// Set the labels vector
std::vector<LabeledPixelType> labels;
labels.push_back(0 + offset);
labels.push_back(1 + offset);
labels.push_back(2 + offset);
labels.push_back(3 + offset);
// Fill in the image
unsigned int i;
IndexValueVectorType::const_iterator indexIter;
for (indexIter = yindexes.begin(), i = 0; indexIter != yindexes.end(); ++indexIter, ++i)
{
index[0] = 0;
index[1] = *indexIter;
region.SetIndex(index);
itk::ImageRegionIterator<InputImageType> iter(inputImage, region);
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
iter.Set(values[i]);
}
}
// Apply labeler filter
using LabelerFilterType = itk::ThresholdLabelerImageFilter<InputImageType, LabeledImageType>;
auto labelerFilter = LabelerFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(labelerFilter, ThresholdLabelerImageFilter, UnaryFunctorImageFilter);
labelerFilter->SetInput(inputImage);
// Test exception when providing unsorted thresholds
std::vector<LabelerFilterType::RealThresholdType> unsrtThresholds;
unsrtThresholds.push_back(2.0);
unsrtThresholds.push_back(1.0);
unsrtThresholds.push_back(3.0);
labelerFilter->SetRealThresholds(unsrtThresholds);
ITK_TRY_EXPECT_EXCEPTION(labelerFilter->Update());
if (!useRealTypeThresholds)
{
// Set the thresholds between values
std::vector<InputPixelType> thresholds;
thresholds.push_back(1.0);
thresholds.push_back(2.0);
thresholds.push_back(3.0);
labelerFilter->SetThresholds(thresholds);
// ITK_TEST_SET_GET_VALUE( thresholds, labelerFilter->GetThresholds() );
}
else
{
// Set the thresholds between values
std::vector<LabelerFilterType::RealThresholdType> thresholds;
thresholds.push_back(1.0);
thresholds.push_back(2.0);
thresholds.push_back(3.0);
labelerFilter->SetRealThresholds(thresholds);
// ITK_TEST_SET_GET_VALUE( thresholds, labelerFilter->GetRealThresholds() );
}
labelerFilter->SetLabelOffset(offset);
ITK_TEST_SET_GET_VALUE(offset, labelerFilter->GetLabelOffset());
ITK_TRY_EXPECT_NO_EXCEPTION(labelerFilter->SetFunctor(labelerFilter->GetFunctor()));
ITK_TRY_EXPECT_NO_EXCEPTION(labelerFilter->Update());
// Check if labels coincide with expected labels
bool passed = true;
for (indexIter = yindexes.begin(), i = 0; indexIter != yindexes.end(); ++indexIter, ++i)
{
index[0] = 0;
index[1] = *indexIter;
region.SetIndex(index);
itk::ImageRegionConstIterator<LabeledImageType> iter(labelerFilter->GetOutput(), region);
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
if (iter.Get() != labels[i])
{
passed = false;
break;
}
}
if (!passed)
{
break;
}
}
if (!passed)
{
std::cout << "Test failed!" << std::endl;
std::cout << labelerFilter << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
int
itkThresholdLabelerImageFilterTest(int, char *[])
{
bool testStatus = EXIT_SUCCESS;
bool testStatusRealTypeThresholds = EXIT_SUCCESS;
bool testStatusNotRealTypeThresholds = EXIT_SUCCESS;
bool useRealTypeThresholds = true;
testStatusRealTypeThresholds = ThresholdLabelerImageFilterTestHelper(useRealTypeThresholds);
useRealTypeThresholds = false;
testStatusNotRealTypeThresholds = ThresholdLabelerImageFilterTestHelper(useRealTypeThresholds);
if (testStatusRealTypeThresholds == EXIT_SUCCESS && testStatusNotRealTypeThresholds == EXIT_SUCCESS)
{
std::cout << "Test finished." << std::endl;
}
else
{
std::cerr << "Test failed!" << std::endl;
testStatus = EXIT_FAILURE;
}
return testStatus;
}
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