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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 "itkRandomImageSource.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkNumericTraits.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
int
itkBinaryThresholdImageFilterTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int Dimension = 3;
using InputPixelType = unsigned char;
using OutputPixelType = float;
// Declare the types of the images
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
// Declare iterator type
using InputIteratorType = itk::ImageRegionIteratorWithIndex<InputImageType>;
using OutputIteratorType = itk::ImageRegionIteratorWithIndex<OutputImageType>;
// Use a random image source as input
using SourceType = itk::RandomImageSource<InputImageType>;
auto source = SourceType::New();
InputImageType::SizeValueType sizeArray[Dimension] = { 3, 3, 3 };
source->SetMin(InputPixelType{});
source->SetMax(itk::NumericTraits<InputPixelType>::max());
source->SetSize(sizeArray);
// Declare the type for the binary threshold filter
using FilterType = itk::BinaryThresholdImageFilter<InputImageType, OutputImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, BinaryThresholdImageFilter, UnaryFunctorImageFilter);
// Set up ivars
InputPixelType lower = 64;
InputPixelType upper = 128;
// No input set: check that thresholds are created using the input
// pixel type non-positive min value
//
// Lower threshold
FilterType::InputPixelObjectType::Pointer lowerThreshold1 = filter->GetLowerThresholdInput();
if (lowerThreshold1->Get() != itk::NumericTraits<InputPixelType>::NonpositiveMin())
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetLowerThresholdInput():" << std::endl;
std::cerr << "Expected: "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(
itk::NumericTraits<InputPixelType>::NonpositiveMin())
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(lowerThreshold1->Get())
<< std::endl;
return EXIT_FAILURE;
}
FilterType::InputPixelObjectType::Pointer lowerThreshold2 = FilterType::InputPixelObjectType::New();
filter->SetLowerThresholdInput(lowerThreshold2);
if (lowerThreshold2->Get() != itk::NumericTraits<InputPixelType>::NonpositiveMin())
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetLowerThresholdInput():" << std::endl;
std::cerr << "Expected: "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(
itk::NumericTraits<InputPixelType>::NonpositiveMin())
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(lowerThreshold2->Get())
<< std::endl;
return EXIT_FAILURE;
}
// Upper threshold
FilterType::InputPixelObjectType::Pointer upperThreshold1 = filter->GetUpperThresholdInput();
if (lowerThreshold1->Get() != itk::NumericTraits<InputPixelType>::NonpositiveMin())
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetUpperThresholdInput():" << std::endl;
std::cerr << "Expected: "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(
itk::NumericTraits<InputPixelType>::NonpositiveMin())
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(upperThreshold1->Get())
<< std::endl;
return EXIT_FAILURE;
}
FilterType::InputPixelObjectType::Pointer upperThreshold2 = FilterType::InputPixelObjectType::New();
filter->SetUpperThresholdInput(upperThreshold2);
if (upperThreshold2->Get() != itk::NumericTraits<InputPixelType>::NonpositiveMin())
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetLowerThresholdInput():" << std::endl;
std::cerr << "Expected: "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(
itk::NumericTraits<InputPixelType>::NonpositiveMin())
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(upperThreshold2->Get())
<< std::endl;
return EXIT_FAILURE;
}
// Exercise the const variants
FilterType::ConstPointer constFilter = (const FilterType *)(filter.GetPointer());
const typename FilterType::InputPixelObjectType * lowerThresholdInput = constFilter->GetLowerThresholdInput();
ITK_TEST_SET_GET_VALUE(lowerThresholdInput->Get(), lowerThreshold2->Get());
const typename FilterType::InputPixelObjectType * upperThresholdInput = constFilter->GetUpperThresholdInput();
ITK_TEST_SET_GET_VALUE(upperThresholdInput->Get(), upperThreshold2->Get());
// Deliberately cause an exception by setting lower threshold to be
// greater than the upper threshold
filter->SetLowerThreshold(upper);
filter->SetUpperThreshold(lower);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
filter->SetLowerThreshold(lower);
ITK_TEST_SET_GET_VALUE(lower, filter->GetLowerThreshold());
filter->SetUpperThreshold(upper);
ITK_TEST_SET_GET_VALUE(upper, filter->GetUpperThreshold());
OutputPixelType inside = -0.5;
filter->SetInsideValue(inside);
ITK_TEST_SET_GET_VALUE(inside, filter->GetInsideValue());
OutputPixelType outside = 0.5;
filter->SetOutsideValue(outside);
ITK_TEST_SET_GET_VALUE(outside, filter->GetOutsideValue());
filter->SetFunctor(filter->GetFunctor());
filter->SetInput(source->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Get the filter output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Create an iterator for going through the image output
InputIteratorType it(source->GetOutput(), source->GetOutput()->GetRequestedRegion());
OutputIteratorType ot(outputImage, outputImage->GetRequestedRegion());
// Check the content of the result image
ot.GoToBegin();
it.GoToBegin();
while (!ot.IsAtEnd())
{
const InputPixelType input = it.Get();
const OutputPixelType output = ot.Get();
if (lower <= input && input <= upper)
{
if (itk::Math::NotExactlyEquals(output, inside))
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error checking the inside value:" << std::endl;
std::cout << "Lower threshold: " << static_cast<itk::NumericTraits<InputPixelType>::PrintType>(lower)
<< ", upper threshold: " << static_cast<itk::NumericTraits<InputPixelType>::PrintType>(upper)
<< std::endl;
std::cerr << "Expected: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(inside)
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(output) << std::endl;
return EXIT_FAILURE;
}
}
else if (itk::Math::NotExactlyEquals(output, outside))
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error checking the outside value:" << std::endl;
std::cout << "Lower threshold: " << static_cast<itk::NumericTraits<InputPixelType>::PrintType>(lower)
<< ", upper threshold: " << static_cast<itk::NumericTraits<InputPixelType>::PrintType>(upper)
<< std::endl;
std::cerr << "Expected: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(outside)
<< ", but got: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(output) << std::endl;
return EXIT_FAILURE;
}
++ot;
++it;
}
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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