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itkParallelSparseFieldLevelSetImageFilterTest.cxx
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itkParallelSparseFieldLevelSetImageFilterTest.cxx
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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 "itkLevelSetFunction.h"
#include "itkParallelSparseFieldLevelSetImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
/*
* This test exercises the dense p.d.e. solver framework
* itkParallelSparseFieldLevelSetImageFilter and the three-dimensional level
* set surface modeling function object. It shows how to subclass
* the ParallelSparseFieldLevelSetImageFilter and the LevelSetFunction to
* create a very simple level set surface evolution application.
*
* This application morphs a sphere to a cube using the level-set surface
* modeling framework. Speed function input to the level-set equation
* is the cube distance transform.
*
*/
namespace PSFLSIFT
{ // local namespace for helper functions
const unsigned int HEIGHT = (64);
const unsigned int WIDTH = (64);
const unsigned int DEPTH = (64);
const int RADIUS = (std::min(std::min(HEIGHT, WIDTH), DEPTH) / 4);
// Distance transform function for a sphere
float
sphere(unsigned int x, unsigned int y, unsigned int z)
{
float dis;
dis = (x - static_cast<float>(WIDTH) / 2.0) * (x - static_cast<float>(WIDTH) / 2.0) +
(y - static_cast<float>(HEIGHT) / 2.0) * (y - static_cast<float>(HEIGHT) / 2.0) +
(z - static_cast<float>(DEPTH) / 2.0) * (z - static_cast<float>(DEPTH) / 2.0);
dis = RADIUS - std::sqrt(dis);
return (-dis);
}
// Distance transform function for a cube
float
cube(unsigned int x, unsigned int y, unsigned int z)
{
float X, Y, Z;
X = itk::Math::abs(x - static_cast<float>(WIDTH) / 2.0);
Y = itk::Math::abs(y - static_cast<float>(HEIGHT) / 2.0);
Z = itk::Math::abs(z - static_cast<float>(DEPTH) / 2.0);
float dis;
if (!((X > RADIUS) && (Y > RADIUS) && (Z > RADIUS)))
{
dis = RADIUS - (std::max(std::max(X, Y), Z));
}
else
{
dis = -sqrt((X - RADIUS) * (X - RADIUS) + (Y - RADIUS) * (Y - RADIUS) + (Z - RADIUS) * (Z - RADIUS));
}
return (-dis);
}
// Evaluates a function at each pixel in the itk volume
void
evaluate_function(itk::Image<float, 3> * im, float (*f)(unsigned int, unsigned int, unsigned int))
{
itk::Image<float, 3>::IndexType idx;
for (unsigned int x = 0; x < WIDTH; ++x)
{
idx[0] = x;
for (unsigned int y = 0; y < HEIGHT; ++y)
{
idx[1] = y;
for (unsigned int z = 0; z < HEIGHT; ++z)
{
idx[2] = z;
im->SetPixel(idx, f(x, y, z));
}
}
}
}
/**
* \class MorphFunction
* Subclasses LevelSetFunction, supplying the "PropagationSpeed" term.
*
* See LevelSetFunction for more information.
*/
class MorphFunction : public itk::LevelSetFunction<itk::Image<float, 3>>
{
public:
void
SetDistanceTransform(itk::Image<float, 3> * d)
{
m_DistanceTransform = d;
}
using Self = MorphFunction;
using Superclass = itk::LevelSetFunction<itk::Image<float, 3>>;
using RadiusType = Superclass::RadiusType;
using GlobalDataStruct = Superclass::GlobalDataStruct;
/**
* Smart pointer support for this class.
*/
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
/**
* Run-time type information (and related methods)
*/
itkTypeMacro(MorphFunction, LevelSetFunction);
/**
* Method for creation through the object factory.
*/
itkNewMacro(Self);
protected:
~MorphFunction() override = default;
MorphFunction()
{
RadiusType r;
r[0] = r[1] = r[2] = 1;
Superclass::Initialize(r);
}
private:
itk::Image<float, 3>::Pointer m_DistanceTransform;
ScalarValueType
PropagationSpeed(const NeighborhoodType & neighborhood, const FloatOffsetType &, GlobalDataStruct *) const override
{
itk::Index<3> idx = neighborhood.GetIndex();
return m_DistanceTransform->GetPixel(idx);
}
};
class MorphFilter : public itk::ParallelSparseFieldLevelSetImageFilter<itk::Image<float, 3>, itk::Image<float, 3>>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(MorphFilter);
using Self = MorphFilter;
/**
* Smart pointer support for this class.
*/
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
/**
* Run-time type information (and related methods)
*/
itkTypeMacro(MorphFilter, ParallelSparseFieldLevelSetImageFilter);
/**
* Method for creation through the object factory.
*/
itkNewMacro(Self);
itkSetMacro(Iterations, unsigned int);
void
SetDistanceTransform(itk::Image<float, 3> * im)
{
auto * func = dynamic_cast<MorphFunction *>(this->GetDifferenceFunction().GetPointer());
if (func == nullptr)
{
itkGenericExceptionMacro("MorphFunction cast failed");
}
func->SetDistanceTransform(im);
}
protected:
~MorphFilter() override = default;
MorphFilter()
{
auto p = MorphFunction::New();
p->SetPropagationWeight(-1.0);
p->SetAdvectionWeight(0.0);
p->SetCurvatureWeight(1.0);
this->SetDifferenceFunction(p);
m_Iterations = 0;
}
private:
unsigned int m_Iterations;
bool
Halt() override
{
if (this->GetElapsedIterations() == m_Iterations)
return true;
else
return false;
}
};
} // end namespace PSFLSIFT
int
itkParallelSparseFieldLevelSetImageFilterTest(int argc, char * argv[])
{
if (argc < 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " OutputImage [InitImage [TargetImage]]\n";
return EXIT_FAILURE;
}
using ImageType = itk::Image<float, 3>;
constexpr int n = 100; // Number of iterations
constexpr int numberOfWorkUnits = 11; // Number of work units to be used
auto im_init = ImageType::New();
auto im_target = ImageType::New();
ImageType::RegionType r;
ImageType::SizeType sz = { { PSFLSIFT::HEIGHT, PSFLSIFT::WIDTH, PSFLSIFT::DEPTH } };
ImageType::IndexType idx = { { 0, 0, 0 } };
r.SetSize(sz);
r.SetIndex(idx);
ImageType::PointType origin;
ImageType::SpacingType spacing;
ImageType::DirectionType direction;
origin[0] = 1.0;
origin[1] = 10.0;
origin[2] = 100.0;
spacing[0] = 1.0;
spacing[1] = 2.0;
spacing[2] = 3.0;
direction.SetIdentity();
direction(1, 1) = -1.0;
im_init->SetRegions(r);
im_init->SetOrigin(origin);
im_init->SetSpacing(spacing);
im_init->SetDirection(direction);
im_target->SetRegions(r);
im_target->SetOrigin(origin);
im_target->SetSpacing(spacing);
im_target->SetDirection(direction);
im_init->Allocate();
im_target->Allocate();
PSFLSIFT::evaluate_function(im_init, PSFLSIFT::sphere);
PSFLSIFT::evaluate_function(im_target, PSFLSIFT::cube);
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
if (argc > 2)
{
writer->SetInput(im_init);
writer->SetFileName(argv[2]);
writer->Update();
}
if (argc > 3)
{
writer->SetInput(im_target);
writer->SetFileName(argv[3]);
writer->Update();
}
itk::ImageRegionIterator<ImageType> itr(im_target, im_target->GetRequestedRegion());
// Squash level sets everywhere but near the zero set.
for (itr.GoToBegin(); !itr.IsAtEnd(); ++itr)
{
itr.Value() = itr.Value() / std::sqrt((5.0f + itk::Math::sqr(itr.Value())));
}
PSFLSIFT::MorphFilter::Pointer mf = PSFLSIFT::MorphFilter::New();
mf->SetDistanceTransform(im_target);
mf->SetIterations(n);
mf->SetInput(im_init);
mf->SetNumberOfWorkUnits(numberOfWorkUnits);
typename PSFLSIFT::MorphFilter::StatusType numberOfLayers = 3;
mf->SetNumberOfLayers(numberOfLayers);
ITK_TEST_SET_GET_VALUE(numberOfLayers, mf->GetNumberOfLayers());
ITK_TRY_EXPECT_NO_EXCEPTION(mf->Update());
mf->GetOutput()->Print(std::cout);
writer->SetInput(mf->GetOutput());
writer->SetFileName(argv[1]);
writer->Update();
std::cout << mf << std::endl << std::flush;
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}