Пример #1
0
void mitk::BinaryThresholdULTool::SetupPreviewNode()
{
  if (m_NodeForThresholding.IsNotNull())
  {
    Image::Pointer image = dynamic_cast<Image*>( m_NodeForThresholding->GetData() );
    Image::Pointer originalImage = dynamic_cast<Image*> (m_OriginalImageNode->GetData());

    if (image.IsNotNull())
    {
      mitk::Image* workingimage = dynamic_cast<mitk::Image*>(m_ToolManager->GetWorkingData(0)->GetData());

      if(workingimage)
        m_ThresholdFeedbackNode->SetData( workingimage->Clone() );
      else
        m_ThresholdFeedbackNode->SetData( mitk::Image::New() );

      int layer(50);
      m_NodeForThresholding->GetIntProperty("layer", layer);
      m_ThresholdFeedbackNode->SetIntProperty("layer", layer+1);

      if (DataStorage* ds = m_ToolManager->GetDataStorage())
      {
        if (!ds->Exists(m_ThresholdFeedbackNode))
          ds->Add( m_ThresholdFeedbackNode, m_OriginalImageNode );
      }

      if (image.GetPointer() == originalImage.GetPointer())
      {
        m_SensibleMinimumThresholdValue = static_cast<double>( originalImage->GetScalarValueMin() );
        m_SensibleMaximumThresholdValue = static_cast<double>( originalImage->GetScalarValueMax() );
      }

      m_CurrentLowerThresholdValue = (m_SensibleMaximumThresholdValue + m_SensibleMinimumThresholdValue) / 3.0;
      m_CurrentUpperThresholdValue = 2.0 * m_CurrentLowerThresholdValue;

      IntervalBordersChanged.Send(m_SensibleMinimumThresholdValue, m_SensibleMaximumThresholdValue);
      ThresholdingValuesChanged.Send(m_CurrentLowerThresholdValue, m_CurrentUpperThresholdValue);
    }
  }
}
Пример #2
0
void mitk::BinaryThresholdULTool::SetupPreviewNode()
{
  if (m_NodeForThresholding.IsNotNull())
  {
    Image::Pointer image = dynamic_cast<Image*>( m_NodeForThresholding->GetData() );
    Image::Pointer originalImage = dynamic_cast<Image*> (m_OriginalImageNode->GetData());

    if (image.IsNotNull())
    {
      // initialize and a new node with the same image as our reference image
      // use the level window property of this image copy to display the result of a thresholding operation
      m_ThresholdFeedbackNode->SetData( image );
      int layer(50);
      m_NodeForThresholding->GetIntProperty("layer", layer);
      m_ThresholdFeedbackNode->SetIntProperty("layer", layer+1);

      if (DataStorage* ds = m_ToolManager->GetDataStorage())
      {
        if (!ds->Exists(m_ThresholdFeedbackNode))
          ds->Add( m_ThresholdFeedbackNode, m_OriginalImageNode );
      }

      if (image.GetPointer() == originalImage.GetPointer())
      {
        m_SensibleMinimumThresholdValue = static_cast<int>( originalImage->GetScalarValueMin() );
        m_SensibleMaximumThresholdValue = static_cast<int>( originalImage->GetScalarValueMax() );
      }

      m_CurrentLowerThresholdValue = (m_SensibleMaximumThresholdValue + m_SensibleMinimumThresholdValue) / 3;
      m_CurrentUpperThresholdValue = 2*m_CurrentLowerThresholdValue;

      IntervalBordersChanged.Send(m_SensibleMinimumThresholdValue, m_SensibleMaximumThresholdValue);
      ThresholdingValuesChanged.Send(m_CurrentLowerThresholdValue, m_CurrentUpperThresholdValue);
    }
  }
}