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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.
*
*=========================================================================*/
#ifndef itkAntiAliasBinaryImageFilter_hxx
#define itkAntiAliasBinaryImageFilter_hxx
#include "itkMinimumMaximumImageCalculator.h"
#include "itkMath.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::AntiAliasBinaryImageFilter()
: m_UpperBinaryValue(NumericTraits<BinaryValueType>::OneValue())
, m_LowerBinaryValue(BinaryValueType{})
, m_InputImage(nullptr)
{
m_CurvatureFunction = CurvatureFunctionType::New();
this->SetDifferenceFunction(m_CurvatureFunction);
if (TInputImage::ImageDimension == 2)
{
this->SetNumberOfLayers(2);
}
else
{
if (TInputImage::ImageDimension == 3)
{
this->SetNumberOfLayers(3);
}
else
{
this->SetNumberOfLayers(TInputImage::ImageDimension);
}
}
this->SetMaximumRMSError(0.07);
this->SetNumberOfIterations(1000);
this->SetUseImageSpacing(false);
}
template <typename TInputImage, typename TOutputImage>
auto
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::CalculateUpdateValue(const IndexType & idx,
const TimeStepType & dt,
const ValueType & value,
const ValueType & change) -> ValueType
{
// This method introduces the constraint on the flow of the surface.
const BinaryValueType binary_val = m_InputImage->GetPixel(idx);
const ValueType new_value = value + dt * change;
if (Math::ExactlyEquals(binary_val, m_UpperBinaryValue))
{
return (std::max(new_value, this->GetValueZero()));
}
else
{
return (std::min(new_value, this->GetValueZero()));
}
}
template <typename TInputImage, typename TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::GenerateData()
{
this->InterpolateSurfaceLocationOff(); // no need for interpolation here
if (TInputImage::ImageDimension > 3 && this->GetNumberOfLayers() < 4)
{
itkWarningMacro("Only 3 layers are being used in the solver."
<< " You should consider using at least as many layers as dimensions of your input."
<< " This value can be set by calling SetNumberOfLayers(n) on this filter.");
}
m_InputImage = this->GetInput();
// Find the minimum and maximum of the input image and use these values to
// set m_UpperBinaryValue, m_LowerBinaryValue, and m_IsoSurfaceValue in the
// parent class.
typename itk::MinimumMaximumImageCalculator<InputImageType>::Pointer minmax =
itk::MinimumMaximumImageCalculator<InputImageType>::New();
minmax->SetImage(m_InputImage);
minmax->ComputeMinimum();
minmax->ComputeMaximum();
m_UpperBinaryValue = minmax->GetMaximum();
m_LowerBinaryValue = minmax->GetMinimum();
auto min = static_cast<ValueType>(minmax->GetMinimum());
auto max = static_cast<ValueType>(minmax->GetMaximum());
// IsoSurface value is halfway between minimum and maximum. In a binary
// image, this places the zero level sets correctly no matter what the binary
// values may be.
this->SetIsoSurfaceValue(max - ((max - min) / 2.0));
// Start the solver
Superclass::GenerateData();
// Release the pointer
m_InputImage = nullptr;
}
template <typename TInputImage, typename TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent
<< "UpperBinaryValue: " << static_cast<typename NumericTraits<BinaryValueType>::PrintType>(m_UpperBinaryValue)
<< std::endl;
os << indent
<< "LowerBinaryValue: " << static_cast<typename NumericTraits<BinaryValueType>::PrintType>(m_LowerBinaryValue)
<< std::endl;
itkPrintSelfObjectMacro(InputImage);
}
} // end namespace itk
#endif
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