1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93
|
/*=========================================================================
*
* 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 itkKappaSigmaThresholdImageFilter_hxx
#define itkKappaSigmaThresholdImageFilter_hxx
#include "itkBinaryThresholdImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk
{
template <typename TInputImage, typename TMaskImage, typename TOutputImage>
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>::KappaSigmaThresholdImageFilter()
: m_MaskValue(NumericTraits<MaskPixelType>::max())
, m_Threshold(InputPixelType{})
, m_InsideValue(NumericTraits<OutputPixelType>::max())
, m_OutsideValue(OutputPixelType{})
{}
template <typename TInputImage, typename TMaskImage, typename TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>::GenerateData()
{
auto progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Compute the Threshold for the input image
auto thresholdImageCalculator = CalculatorType::New();
thresholdImageCalculator->SetImage(this->GetInput());
thresholdImageCalculator->SetMask(this->GetMaskImage());
thresholdImageCalculator->SetMaskValue(m_MaskValue);
thresholdImageCalculator->SetSigmaFactor(m_SigmaFactor);
thresholdImageCalculator->SetNumberOfIterations(m_NumberOfIterations);
thresholdImageCalculator->Compute();
m_Threshold = thresholdImageCalculator->GetOutput();
typename BinaryThresholdImageFilter<TInputImage, TOutputImage>::Pointer threshold =
BinaryThresholdImageFilter<TInputImage, TOutputImage>::New();
progress->RegisterInternalFilter(threshold, .5f);
threshold->GraftOutput(this->GetOutput());
threshold->SetInput(this->GetInput());
threshold->SetLowerThreshold(m_Threshold);
threshold->SetInsideValue(m_InsideValue);
threshold->SetOutsideValue(m_OutsideValue);
threshold->Update();
this->GraftOutput(threshold->GetOutput());
}
template <typename TInputImage, typename TMaskImage, typename TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>::GenerateInputRequestedRegion()
{
const_cast<TInputImage *>(this->GetInput())->SetRequestedRegionToLargestPossibleRegion();
}
template <typename TInputImage, typename TMaskImage, typename TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Threshold: " << static_cast<typename NumericTraits<InputPixelType>::PrintType>(m_Threshold)
<< std::endl;
os << indent << "MaskValue: " << static_cast<typename NumericTraits<MaskPixelType>::PrintType>(m_MaskValue)
<< std::endl;
os << indent << "SigmaFactor: " << m_SigmaFactor << std::endl;
os << indent << "NumberOfIterations: " << this->m_NumberOfIterations << std::endl;
os << indent
<< "Inside value: " << static_cast<typename NumericTraits<OutputPixelType>::PrintType>(this->m_InsideValue)
<< std::endl;
os << indent
<< "Outside value: " << static_cast<typename NumericTraits<OutputPixelType>::PrintType>(this->m_OutsideValue)
<< std::endl;
}
} // end namespace itk
#endif
|