mitkSimpleUnstructuredGridHistogram.cpp

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/*===================================================================

The Medical Imaging Interaction Toolkit (MITK)

Copyright (c) German Cancer Research Center,
Division of Medical and Biological Informatics.
All rights reserved.

This software is distributed WITHOUT ANY WARRANTY; without
even the implied warranty of MERCHANTABILITY or FITNESS FOR
A PARTICULAR PURPOSE.

See LICENSE.txt or http://www.mitk.org for details.

===================================================================*/

#include "mitkSimpleUnstructuredGridHistogram.h"

#include <mitkUnstructuredGrid.h>

#include <itkSampleToHistogramFilter.h>
#include <vtkDataArray.h>
#include <vtkPointData.h>
#include <vtkUnstructuredGrid.h>

namespace mitk
{
  SimpleUnstructuredGridHistogram::SimpleUnstructuredGridHistogram()
    : m_UGHistogram(HistogramType::New()), m_InvMaxFrequency(1)
  {
    // MITK_INFO << "#######  Created a SimpleUnstructuredGridHistogram";
  }

  double SimpleUnstructuredGridHistogram::GetMin() const { return m_UGHistogram->GetBinMin(0, 0); }
  double SimpleUnstructuredGridHistogram::GetMax() const
  {
    return m_UGHistogram->GetBinMax(0, m_UGHistogram->GetSize(0) - 1);
  }

  void SimpleUnstructuredGridHistogram::ComputeFromBaseData(BaseData *source)
  {
    UnstructuredGrid *grid = dynamic_cast<UnstructuredGrid *>(source);
    // m_UGHistogram->Initialize(grid);

    vtkUnstructuredGrid *vtkUGrid = grid->GetVtkUnstructuredGrid();

    ListSampleType::Pointer listSample = ListSampleType::New();
    listSample->SetMeasurementVectorSize(1);

    MeasurementVectorType v;

    MeasurementVectorType lowerBound;
    MeasurementVectorType upperBound;

    int numberOfBins = 1;
    HistogramType::SizeType size(1);

    vtkDataArray *data;
    /*if (m_UsePointData)*/ data = vtkUGrid->GetPointData()->GetScalars();
    // else data = vtkUGrid->GetCellData()->GetScalars();

    if (data == nullptr)
    {
      listSample->Resize(1);
      v[0] = 0;
      listSample->PushBack(v);
      lowerBound[0] = 0;
      upperBound[0] = 0;
      size.Fill(numberOfBins);
    }
    else
    {
      listSample->Resize(data->GetNumberOfTuples());
      for (vtkIdType i = 0; i < data->GetNumberOfTuples(); ++i)
      {
        v[0] = data->GetComponent(i, 0);
        // if (v[0] != 0) MITK_INFO << "ug scalar: " << v[0];
        listSample->PushBack(v);
      }

      vtkIdType numberOfTuples = data->GetNumberOfTuples();

      if (numberOfTuples < 1000)
        numberOfBins = 250;
      else if (numberOfTuples < 30000)
        numberOfBins = 100;
      else if (numberOfTuples < 100000)
        numberOfBins = 50;
      else
        numberOfBins = 20;

      size.Fill(numberOfBins);

      double range[2];
      data->GetRange(range);
      lowerBound[0] = range[0];
      upperBound[0] = range[1];
    }

    typedef itk::Statistics::SampleToHistogramFilter<ListSampleType, HistogramType> FilterType;
    FilterType::Pointer histoFilter = FilterType::New();

    FilterType::HistogramMeasurementVectorType binMin(1);
    FilterType::HistogramMeasurementVectorType binMax(1);

    binMin[0] = lowerBound[0];
    binMax[0] = upperBound[0];

    histoFilter->SetInput(listSample);
    histoFilter->SetHistogramSize(size);
    histoFilter->SetHistogramBinMinimum(binMin);
    histoFilter->SetHistogramBinMaximum(binMax);
    histoFilter->Update();

    m_UGHistogram = histoFilter->GetOutput();

    m_BinSize = (GetMax() - GetMin()) / (double)numberOfBins;

    m_Mins = m_UGHistogram->GetMins();
    m_Maxs = m_UGHistogram->GetMaxs();

    HistogramType::AbsoluteFrequencyType maxFrequency = 0;
    HistogramType::SizeValueType histoSize = m_UGHistogram->GetSize(0);
    for (HistogramType::SizeValueType i = 0; i < histoSize; ++i)
    {
      HistogramType::AbsoluteFrequencyType f = m_UGHistogram->GetFrequency(i);
      if (f > maxFrequency)
      {
        maxFrequency = f;
      }
      // MITK_INFO << "Bin #" << i << ": " << m_UGHistogram->GetMeasurement(i,0);
    }

    if (maxFrequency)
    {
      m_InvMaxFrequency = 1.0 / log((double)maxFrequency);
    }

    // MITK_INFO << "UGHistogramm size: " << m_UGHistogram->GetSize(0) << ", maxF: " << maxFrequency
    //    << " min count: " << m_Mins.size() << " max count: " << m_Maxs.size();
  }

  float SimpleUnstructuredGridHistogram::GetRelativeBin(double start, double end) const
  {
    // MITK_INFO << "GetRelativeBin start: " << start << ", end: " << end;
    HistogramType::AbsoluteFrequencyType maxf = 0;
    for (double pos = start; pos < end; pos += m_BinSize)
    {
      HistogramType::AbsoluteFrequencyType f = m_UGHistogram->GetFrequency(m_UGHistogram->GetIndex(pos));
      if (f > maxf)
        maxf = f;
    }

    return log(static_cast<double>(maxf)) * m_InvMaxFrequency;
  }
}