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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 "itkLevelSetVelocityNeighborhoodExtractor.h"
#include "itkFastMarchingImageFilter.h"
int
itkLevelSetVelocityNeighborhoodExtractorTest(int, char *[])
{
constexpr unsigned int ImageDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, ImageDimension>;
using AuxValueType = double;
// Create an input image using fastmarching
using SourceType = itk::FastMarchingImageFilter<ImageType>;
auto source = SourceType::New();
ImageType::SizeType size;
size.Fill(17);
source->SetOutputSize(size);
SourceType::NodeType node;
ImageType::IndexType index;
index.Fill(8);
node.SetIndex(index);
node.SetValue(-4.0);
using NodeContainerType = SourceType::NodeContainer;
auto container = NodeContainerType::New();
container->InsertElement(0, node);
source->SetTrialPoints(container);
source->CollectPointsOn();
source->Update();
using ExtractorType = itk::LevelSetVelocityNeighborhoodExtractor<ImageType, AuxValueType, 2>;
auto extractor = ExtractorType::New();
extractor->SetInputLevelSet(source->GetOutput());
extractor->SetLevelSetValue(0.0);
extractor->NarrowBandingOff();
// create some dummy auxiliary variable images
using AuxImageType = ExtractorType::AuxImageType;
auto aux0 = AuxImageType::New();
aux0->SetRegions(source->GetOutput()->GetBufferedRegion());
aux0->Allocate();
aux0->FillBuffer(1.0);
extractor->SetAuxImage(aux0, 0);
auto aux1 = AuxImageType::New();
aux1->SetRegions(source->GetOutput()->GetBufferedRegion());
aux1->Allocate();
aux1->FillBuffer(5.0);
extractor->SetAuxImage(aux1, 1);
extractor->Locate();
using Iterator = NodeContainerType::ConstIterator;
Iterator iter;
Iterator iterEnd;
using AuxValueContainer = ExtractorType::AuxValueContainer;
using AuxIterator = AuxValueContainer::ConstIterator;
AuxIterator aIter;
AuxIterator aIterEnd;
std::cout << "Inside Points" << std::endl;
iter = extractor->GetInsidePoints()->Begin();
iterEnd = extractor->GetInsidePoints()->End();
aIter = extractor->GetAuxInsideValues()->Begin();
aIterEnd = extractor->GetAuxInsideValues()->End();
for (; iter != iterEnd; iter++, aIter++)
{
std::cout << iter.Value().GetIndex() << ' ';
std::cout << iter.Value().GetValue() << ' ';
std::cout << aIter.Value() << std::endl;
}
std::cout << "Outside Points" << std::endl;
iter = extractor->GetOutsidePoints()->Begin();
iterEnd = extractor->GetOutsidePoints()->End();
aIter = extractor->GetAuxOutsideValues()->Begin();
aIterEnd = extractor->GetAuxOutsideValues()->End();
for (; iter != iterEnd; iter++, aIter++)
{
std::cout << iter.Value().GetIndex() << ' ';
std::cout << iter.Value().GetValue() << ' ';
std::cout << aIter.Value() << std::endl;
}
// exercise Print
extractor->Print(std::cout);
std::cout << "AuxImage0: " << extractor->GetAuxImage(0).GetPointer() << std::endl;
// exercise error handling
extractor->SetAuxImage(aux0, 2);
if (extractor->GetAuxImage(2))
{
std::cout << "Out of range index should return nullptr pointer" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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