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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 "itkAntiAliasBinaryImageFilter.h"
#include "itkTestingMacros.h"
#include "itkImageFileWriter.h"
//
// This is a simple test of the AntiAliasBinaryImageFilter class. It creates a
// binary image of a sphere, then applies the filter. If you want to view the
// output, uncomment the lines which write the binary file. Output will be the
// floating point distance transform from the surface, which can be directly
// rendered using Marching Cubes or some other suitable algorithm. See
// documentation for AntiAliasBinaryImageFilter and
// SparseFieldLevelSetImageFilter for more information.
//
namespace AntiAliasBinaryImageFilterTestNamespace
{
constexpr int V_WIDTH = 64;
constexpr int V_HEIGHT = 64;
constexpr int V_DEPTH = 64;
float
sphere(float x, float y, float z)
{
float dis;
dis = (x - static_cast<float>(V_WIDTH) / 2.0) * (x - static_cast<float>(V_WIDTH) / 2.0) /
((0.2f * V_WIDTH) * (0.2f * V_WIDTH)) +
(y - static_cast<float>(V_HEIGHT) / 2.0) * (y - static_cast<float>(V_HEIGHT) / 2.0) /
((0.2f * V_HEIGHT) * (0.2f * V_HEIGHT)) +
(z - static_cast<float>(V_DEPTH) / 2.0) * (z - static_cast<float>(V_DEPTH) / 2.0) /
((0.2f * V_DEPTH) * (0.2f * V_DEPTH));
return (1.0f - dis);
}
void
evaluate_function(itk::Image<char, 3> * im, float (*f)(float, float, float))
{
itk::Image<char, 3>::IndexType idx;
for (int z = 0; z < V_DEPTH; ++z)
{
idx[2] = z;
for (int y = 0; y < V_HEIGHT; ++y)
{
idx[1] = y;
for (int x = 0; x < V_WIDTH; ++x)
{
idx[0] = x;
if (f(static_cast<float>(x), static_cast<float>(y), static_cast<float>(z)) >= 0.0)
{
im->SetPixel(idx, 1);
}
else
{
im->SetPixel(idx, 0);
}
}
}
}
}
} // namespace AntiAliasBinaryImageFilterTestNamespace
int
itkAntiAliasBinaryImageFilterTest(int argc, char * argv[])
{
if (argc < 2)
{
std::cerr << "Missing arguments." << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " outputImage " << std::endl;
return EXIT_FAILURE;
}
const char * outputImage = argv[1];
using InputDataType = char;
using BinaryImageType = itk::Image<InputDataType, 3>;
using RealImageType = itk::Image<float, 3>;
itk::AntiAliasBinaryImageFilter<BinaryImageType, RealImageType>::Pointer antialiaser =
itk::AntiAliasBinaryImageFilter<BinaryImageType, RealImageType>::New();
// Create a binary image of a sphere.
auto image = BinaryImageType::New();
BinaryImageType::RegionType region;
BinaryImageType::RegionType::SizeType sz;
BinaryImageType::RegionType::IndexType idx;
for (unsigned int k = 0; k < 3; ++k)
{
sz[k] = 64;
idx[k] = 0;
}
region.SetSize(sz);
region.SetIndex(idx);
image->SetRegions(region);
image->Allocate();
AntiAliasBinaryImageFilterTestNamespace::evaluate_function(image, AntiAliasBinaryImageFilterTestNamespace::sphere);
// Set up and apply the filter.
antialiaser->SetInput(image);
antialiaser->SetMaximumRMSError(0.02);
// For increased code coverage. Does nothing.
antialiaser->GetMaximumRMSError();
// Generally a good idea to set this value as a safeguard against infinite
// loops if the MaximumRMSError has been set too low.
antialiaser->SetNumberOfIterations(100);
ITK_TRY_EXPECT_NO_EXCEPTION(antialiaser->Update());
std::cout << "Maximum RMS change value threshold was: 0.02 " << std::endl;
std::cout << "Last RMS change value was: " << antialiaser->GetRMSChange() << std::endl;
if (antialiaser->GetRMSChange() > 0.02)
{
std::cerr << "Unexpected RMSChange." << std::endl;
return EXIT_FAILURE;
}
if (antialiaser->GetElapsedIterations() >= 100)
{
std::cout << "ERROR: Filter did not converge.";
return EXIT_FAILURE;
}
else
{
using WriterType = itk::ImageFileWriter<RealImageType>;
auto writer = WriterType::New();
writer->SetInput(antialiaser->GetOutput());
writer->SetFileName(outputImage);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// Repeat just to make sure we reinitialize properly.
antialiaser->SetNumberOfIterations(200);
antialiaser->Update();
antialiaser->GetLowerBinaryValue();
antialiaser->GetUpperBinaryValue();
std::cout << "Maximum RMS change value threshold was: 0.02 " << std::endl;
std::cout << "Last RMS change value was: " << antialiaser->GetRMSChange() << std::endl;
if (antialiaser->GetRMSChange() > 0.02)
{
std::cerr << "Unexpected RMSChange." << std::endl;
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
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