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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 "itkContourDirectedMeanDistanceImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkContourDirectedMeanDistanceImageFilterTest(int, char *[])
{
using Pixel1Type = unsigned int;
using Pixel2Type = float;
constexpr unsigned int ImageDimension = 3;
using Image1Type = itk::Image<Pixel1Type, ImageDimension>;
using Image2Type = itk::Image<Pixel2Type, ImageDimension>;
auto image1 = Image1Type::New();
auto image2 = Image2Type::New();
Image1Type::SizeType size;
size.Fill(50);
image1->SetRegions(size);
image2->SetRegions(size);
image1->Allocate();
image2->Allocate();
image1->FillBuffer(Pixel1Type{});
image2->FillBuffer(Pixel2Type{});
using RegionType = Image1Type::RegionType;
RegionType region1;
RegionType region2;
using IndexType = Image1Type::IndexType;
IndexType index;
size.Fill(20);
index.Fill(10);
region1.SetSize(size);
region1.SetIndex(index);
size.Fill(15);
index.Fill(20);
region2.SetSize(size);
region2.SetIndex(index);
itk::ImageRegionIterator<Image1Type> it1(image1, region1);
Pixel1Type count{};
while (!it1.IsAtEnd())
{
it1.Set(++count);
++it1;
}
itk::ImageRegionIterator<Image2Type> it2(image2, region2);
while (!it2.IsAtEnd())
{
it2.Set(7.2);
++it2;
}
auto useImageSpacing = true;
// Compute the directed Mean distance h(image1,image2)
{
using FilterType = itk::ContourDirectedMeanDistanceImageFilter<Image1Type, Image2Type>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ContourDirectedMeanDistanceImageFilter, ImageToImageFilter);
itk::SimpleFilterWatcher watcher(filter, "filter");
ITK_TEST_SET_GET_BOOLEAN(filter, UseImageSpacing, useImageSpacing);
filter->SetInput1(image1);
filter->SetInput2(image2);
filter->Update();
// Check results
FilterType::RealType trueDistance = 8.37831;
FilterType::RealType distance = filter->GetContourDirectedMeanDistance();
std::cout << " True distance: " << trueDistance << std::endl;
std::cout << " Computed distance: " << distance << std::endl;
if (itk::Math::abs(trueDistance - distance) > 0.1)
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
// Compute the directed Mean distance h(image2,image1)
{
using FilterType = itk::ContourDirectedMeanDistanceImageFilter<Image2Type, Image1Type>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ContourDirectedMeanDistanceImageFilter, ImageToImageFilter);
ITK_TEST_SET_GET_BOOLEAN(filter, UseImageSpacing, useImageSpacing);
filter->SetInput1(image2);
filter->SetInput2(image1);
filter->Update();
// Check results
FilterType::RealType trueDistance = 4.2053;
FilterType::RealType distance = filter->GetContourDirectedMeanDistance();
std::cout << " True distance: " << trueDistance << std::endl;
std::cout << " Computed distance: " << distance << std::endl;
if (itk::Math::abs(trueDistance - distance) > 0.1)
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "Test passed. " << std::endl;
return EXIT_SUCCESS;
}
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