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C++ Pointer::renameAttributeArray方法代码示例

本文整理汇总了C++中attributematrix::Pointer::renameAttributeArray方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::renameAttributeArray方法的具体用法？C++ Pointer::renameAttributeArray怎么用？C++ Pointer::renameAttributeArray使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类attributematrix::Pointer的用法示例。


在下文中一共展示了Pointer::renameAttributeArray方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: execute

// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void MultiOtsuThreshold::execute()
{
  //int err = 0;
  dataCheck();
  if(getErrorCondition() < 0) { return; }

  DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getSelectedCellArrayPath().getDataContainerName());
  QString attrMatName = getSelectedCellArrayPath().getAttributeMatrixName();

  //get dims
  size_t udims[3] = {0, 0, 0};
  m->getGeometryAs<ImageGeom>()->getDimensions(udims);
#if (CMP_SIZEOF_SIZE_T == 4)
  typedef int32_t DimType;
#else
  typedef int64_t DimType;
#endif
  DimType dims[3] =
  {
    static_cast<DimType>(udims[0]),
    static_cast<DimType>(udims[1]),
    static_cast<DimType>(udims[2]),
  };

  //wrap input as itk image
  ImageProcessing::DefaultImageType::Pointer inputImage = ITKUtilitiesType::CreateItkWrapperForDataPointer(m, attrMatName, m_SelectedCellArray);

  if(m_Slice)
  {
    //define 2d histogram generator
    typedef itk::OtsuMultipleThresholdsImageFilter< ImageProcessing::DefaultSliceType, ImageProcessing::DefaultSliceType > ThresholdType;
    ThresholdType::Pointer otsuThresholder = ThresholdType::New();

    //wrap output buffer as image
    ImageProcessing::DefaultImageType::Pointer outputImage = ITKUtilitiesType::CreateItkWrapperForDataPointer(m, attrMatName, m_NewCellArray);

    //loop over slices
    for(int i = 0; i < dims[2]; i++)
    {
      //get slice
      ImageProcessing::DefaultSliceType::Pointer slice = ITKUtilitiesType::ExtractSlice(inputImage, ImageProcessing::ZSlice, i);

      //threshold
      otsuThresholder->SetInput(slice);
      otsuThresholder->SetNumberOfThresholds(m_Levels);
      otsuThresholder->SetLabelOffset(1);
      //execute filters
      try
      {
        otsuThresholder->Update();
      }
      catch( itk::ExceptionObject& err )
      {
        setErrorCondition(-5);
        QString ss = QObject::tr("Failed to execute itk::OtsuMultipleThresholdsImageFilter filter. Error Message returned from ITK:\n   %1").arg(err.GetDescription());
        notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
      }

      //copy back into volume
      ITKUtilitiesType::SetSlice(outputImage, otsuThresholder->GetOutput(), ImageProcessing::ZSlice, i);
    }
  }
  else
  {
    typedef itk::OtsuMultipleThresholdsImageFilter< ImageProcessing::DefaultImageType, ImageProcessing::DefaultImageType > ThresholdType;
    ThresholdType::Pointer otsuThresholder = ThresholdType::New();
    otsuThresholder->SetInput(inputImage);
    otsuThresholder->SetNumberOfThresholds(m_Levels);
    otsuThresholder->SetLabelOffset(1);

    ITKUtilitiesType::SetITKFilterOutput(otsuThresholder->GetOutput(), m_NewCellArrayPtr.lock());
    //execute filters
    try
    {
      otsuThresholder->Update();
    }
    catch( itk::ExceptionObject& err )
    {
      setErrorCondition(-5);
      QString ss = QObject::tr("Failed to execute itk::OtsuMultipleThresholdsImageFilter filter. Error Message returned from ITK:\n   %1").arg(err.GetDescription());
      notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
    }
  }

  //array name changing/cleanup
  if(m_SaveAsNewArray == false)
  {
    AttributeMatrix::Pointer attrMat = m->getAttributeMatrix(m_SelectedCellArrayPath.getAttributeMatrixName());
    attrMat->removeAttributeArray(m_SelectedCellArrayPath.getDataArrayName());
    attrMat->renameAttributeArray(m_NewCellArrayName, m_SelectedCellArrayPath.getDataArrayName());
  }

  /* Let the GUI know we are done with this filter */
  notifyStatusMessage(getHumanLabel(), "Complete");
}
开发者ID:chongbingbao，项目名称:ImageProcessing，代码行数:98，代码来源:MultiOtsuThreshold.cpp

示例2: execute


//.........这里部分代码省略.........

    //get dimensions
    size_t udims[3] = {0, 0, 0};
    m->getGeometryAs<ImageGeom>()->getDimensions(udims);
#if (CMP_SIZEOF_SIZE_T == 4)
    typedef int32_t DimType;
#else
    typedef int64_t DimType;
#endif
    DimType dims[3] =
    {
      static_cast<DimType>(udims[0]),
      static_cast<DimType>(udims[1]),
      static_cast<DimType>(udims[2]),
    };

    //create edge filter
    typedef itk::SobelEdgeDetectionImageFilter<ImageProcessing::DefaultSliceType, ImageProcessing::FloatSliceType> SobelFilterType;
    SobelFilterType::Pointer sobelFilter = SobelFilterType::New();

    //convert result back to uint8
    typedef itk::RescaleIntensityImageFilter<ImageProcessing::FloatSliceType, ImageProcessing::DefaultSliceType> RescaleImageType;
    RescaleImageType::Pointer rescaleFilter = RescaleImageType::New();
    rescaleFilter->SetOutputMinimum(0);
    rescaleFilter->SetOutputMaximum(255);

    //loop over slices applying filters
    for(int i = 0; i < dims[2]; ++i)
    {
      QString ss = QObject::tr("Finding Edges On Slice: %1").arg(i + 1);
      notifyStatusMessage(getMessagePrefix(), getHumanLabel(), ss);

      //get slice
      ImageProcessing::DefaultSliceType::Pointer inputSlice = ITKUtilitiesType::ExtractSlice(inputImage, ImageProcessing::ZSlice, i);

      //run filters
      sobelFilter->SetInput(inputSlice);
      rescaleFilter->SetInput(sobelFilter->GetOutput());


      //execute filters
      try
      {
        sobelFilter->Update();
        rescaleFilter->Update();
      }
      catch( itk::ExceptionObject& err )
      {
        setErrorCondition(-5);
        QString ss = QObject::tr("Failed to execute itk::SobelEdgeDetectionImageFilter filter. Error Message returned from ITK:\n   %1").arg(err.GetDescription());
        notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
      }

      //copy into volume
      ITKUtilitiesType::SetSlice(outputImage, rescaleFilter->GetOutput(), ImageProcessing::ZSlice, i);
    }
  }
  else
  {
    //create edge filter
    typedef itk::SobelEdgeDetectionImageFilter<ImageProcessing::DefaultImageType, ImageProcessing::FloatImageType> SobelFilterType;
    SobelFilterType::Pointer sobelFilter = SobelFilterType::New();
    sobelFilter->SetInput(inputImage);

    //convert result back to uint8
    typedef itk::RescaleIntensityImageFilter<ImageProcessing::FloatImageType, ImageProcessing::DefaultImageType> RescaleImageType;
    RescaleImageType::Pointer rescaleFilter = RescaleImageType::New();
    rescaleFilter->SetInput(sobelFilter->GetOutput());
    rescaleFilter->SetOutputMinimum(0);
    rescaleFilter->SetOutputMaximum(255);

    //have filter write to dream3d array instead of creating its own buffer
    ITKUtilitiesType::SetITKFilterOutput(rescaleFilter->GetOutput(), m_NewCellArrayPtr.lock());

    //execute filters
    try
    {
      sobelFilter->Update();
      rescaleFilter->Update();
    }
    catch( itk::ExceptionObject& err )
    {
      setErrorCondition(-5);
      QString ss = QObject::tr("Failed to execute itk::SobelEdgeDetectionImageFilter filter. Error Message returned from ITK:\n   %1").arg(err.GetDescription());
      notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
    }

  }

  //array name changing/cleanup
  if(m_SaveAsNewArray == false)
  {
    AttributeMatrix::Pointer attrMat = m->getAttributeMatrix(m_SelectedCellArrayPath.getAttributeMatrixName());
    attrMat->removeAttributeArray(m_SelectedCellArrayPath.getDataArrayName());
    attrMat->renameAttributeArray(m_NewCellArrayName, m_SelectedCellArrayPath.getDataArrayName());
  }

  /* Let the GUI know we are done with this filter */
  notifyStatusMessage(getHumanLabel(), "Complete");
}
开发者ID:chongbingbao，项目名称:ImageProcessing，代码行数:101，代码来源:SobelEdge.cpp

示例3: execute


//.........这里部分代码省略.........
      limitsRound->SetInput(divide->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 4://min
    {
      MinType::Pointer minimum = MinType::New();
      minimum->SetInput1(inputImage);
      minimum->SetConstant2(m_Value);
      limitsRound->SetInput(minimum->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 5://max
    {
      MaxType::Pointer maximum = MaxType::New();
      maximum->SetInput1(inputImage);
      maximum->SetConstant2(m_Value);
      limitsRound->SetInput(maximum->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 6://gamma
    {
      GammaType::Pointer gamma = GammaType::New();
      gamma->SetInput1(inputImage);
      gamma->SetConstant2(m_Value);
      limitsRound->SetInput(gamma->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 7://log
    {
      LogType::Pointer logfilter = LogType::New();
      logfilter->SetInput(inputImage);
      limitsRound->SetInput(logfilter->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 8://exp
    {
      ExpType::Pointer expfilter = ExpType::New();
      expfilter->SetInput(inputImage);
      limitsRound->SetInput(expfilter->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 9://square
    {
      SquareType::Pointer square = SquareType::New();
      square->SetInput(inputImage);
      limitsRound->SetInput(square->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 10://squareroot
    {
      SqrtType::Pointer sqrtfilter = SqrtType::New();
      sqrtfilter->SetInput(inputImage);
      limitsRound->SetInput(sqrtfilter->GetOutput());
      ITKUtilitiesType::SetITKFilterOutput(limitsRound->GetOutput(), m_NewCellArrayPtr.lock());
      limitsRound->Update();
    }
    break;

    case 11://invert
    {
      InvertType::Pointer invert = InvertType::New();
      invert->SetInput(inputImage);
      ITKUtilitiesType::SetITKFilterOutput(invert->GetOutput(), m_NewCellArrayPtr.lock());
      invert->Update();
    }
    break;
  }

  //array name changing/cleanup
  if(m_SaveAsNewArray == false)
  {
    AttributeMatrix::Pointer attrMat = m->getAttributeMatrix(m_SelectedCellArrayPath.getAttributeMatrixName());
    attrMat->removeAttributeArray(m_SelectedCellArrayPath.getDataArrayName());
    attrMat->renameAttributeArray(m_NewCellArrayName, m_SelectedCellArrayPath.getDataArrayName());
  }

  /* Let the GUI know we are done with this filter */
  notifyStatusMessage(getHumanLabel(), "Complete");
}
开发者ID:chongbingbao，项目名称:ImageProcessing，代码行数:101，代码来源:ImageMath.cpp


注：本文中的attributematrix::Pointer::renameAttributeArray方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。