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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 itkCompareHistogramImageToImageMetric_hxx
#define itkCompareHistogramImageToImageMetric_hxx
#include "itkHistogram.h"
namespace itk
{
template <typename TFixedImage, typename TMovingImage>
CompareHistogramImageToImageMetric<TFixedImage, TMovingImage>::CompareHistogramImageToImageMetric()
{
m_TrainingFixedImage = nullptr; // has to be provided by the user.
m_TrainingMovingImage = nullptr; // has to be provided by the user.
m_TrainingTransform = nullptr; // has to be provided by the user.
m_TrainingInterpolator = nullptr; // has to be provided by the user.
m_TrainingHistogram = nullptr; // either provided by the user or created
}
template <typename TFixedImage, typename TMovingImage>
void
CompareHistogramImageToImageMetric<TFixedImage, TMovingImage>::Initialize()
{
Superclass::Initialize();
if (!m_TrainingHistogram)
{
FormTrainingHistogram();
}
}
template <typename TFixedImage, typename TMovingImage>
void
CompareHistogramImageToImageMetric<TFixedImage, TMovingImage>::FormTrainingHistogram()
{
// Check to make sure everything is set
if (!m_TrainingTransform)
{
itkExceptionMacro("Training Transform is not present");
}
if (!m_TrainingInterpolator)
{
itkExceptionMacro("Training Interpolator is not present");
}
if (!m_TrainingMovingImage)
{
itkExceptionMacro("Training MovingImage is not present");
}
// If the image is provided by a source, update the source.
m_TrainingMovingImage->UpdateSource();
if (!m_TrainingFixedImage)
{
itkExceptionMacro("Training FixedImage is not present");
}
// If the image is provided by a source, update the source.
m_TrainingFixedImage->UpdateSource();
if (m_TrainingFixedImageRegion.GetNumberOfPixels() == 0)
{
itkExceptionMacro("TrainingFixedImageRegion is empty");
}
// Make sure the FixedImageRegion is within the FixedImage buffered region
if (!m_TrainingFixedImageRegion.Crop(m_TrainingFixedImage->GetBufferedRegion()))
{
itkExceptionMacro("TrainingFixedImageRegion does not overlap the training fixed image buffered region");
}
this->m_TrainingInterpolator->SetInputImage(GetTrainingMovingImage());
// Create the exact histogram structure as the one to be used
// to evaluate the metric. This code is mostly copied
// from itkHistogramImageToImageMetric
this->m_TrainingHistogram = HistogramType::New();
this->m_TrainingHistogram->SetMeasurementVectorSize(2);
this->m_TrainingHistogram->Initialize(
this->Superclass::m_HistogramSize, this->Superclass::m_LowerBound, this->Superclass::m_UpperBound);
using TrainingFixedIteratorType = itk::ImageRegionConstIteratorWithIndex<FixedImageType>;
typename FixedImageType::IndexType index;
typename HistogramType::IndexType hIndex;
TrainingFixedIteratorType ti(this->m_TrainingFixedImage, this->m_TrainingFixedImageRegion);
int NumberOfPixelsCounted = 0;
ti.GoToBegin();
while (!ti.IsAtEnd())
{
index = ti.GetIndex();
if (this->m_TrainingFixedImageRegion.IsInside(index) &&
(!this->Superclass::GetUsePaddingValue() ||
(this->Superclass::GetUsePaddingValue() && ti.Get() > this->Superclass::GetPaddingValue())))
{
typename Superclass::InputPointType inputPoint;
this->m_TrainingFixedImage->TransformIndexToPhysicalPoint(index, inputPoint);
typename Superclass::OutputPointType transformedPoint = this->m_TrainingTransform->TransformPoint(inputPoint);
if (this->m_TrainingInterpolator->IsInsideBuffer(transformedPoint))
{
const RealType TrainingMovingValue = this->m_TrainingInterpolator->Evaluate(transformedPoint);
const RealType TrainingFixedValue = ti.Get();
++NumberOfPixelsCounted;
typename HistogramType::MeasurementVectorType sample;
sample.SetSize(2);
sample[0] = TrainingFixedValue;
sample[1] = TrainingMovingValue;
this->m_TrainingHistogram->GetIndex(sample, hIndex);
this->m_TrainingHistogram->IncreaseFrequencyOfIndex(hIndex, 1);
}
}
++ti;
}
if (NumberOfPixelsCounted == 0)
{
itkExceptionMacro("All the points mapped to outside of the Training moving age");
}
}
template <typename TFixedImage, typename TMovingImage>
void
CompareHistogramImageToImageMetric<TFixedImage, TMovingImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
itkPrintSelfObjectMacro(TrainingFixedImage);
itkPrintSelfObjectMacro(TrainingMovingImage);
itkPrintSelfObjectMacro(TrainingTransform);
itkPrintSelfObjectMacro(TrainingInterpolator);
os << indent << "TrainingFixedImageRegion: " << m_TrainingFixedImageRegion << std::endl;
itkPrintSelfObjectMacro(TrainingHistogram);
}
} // end namespace itk
#endif // itkCompareHistogramImageToImageMetric_hxx
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