C++ Pointer::GetOutput方法代码示例

本文整理汇总了C++中typenamefiltertype::Pointer::GetOutput方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::GetOutput方法的具体用法？C++ Pointer::GetOutput怎么用？C++ Pointer::GetOutput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typenamefiltertype::Pointer的用法示例。

在下文中一共展示了Pointer::GetOutput方法的15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: generateOutput

void medResliceViewer::generateOutput(vtkImageReslice* reslicer, QString destType)
{
    typedef itk::Image<DATA_TYPE, 3> ImageType;

    typedef itk::VTKImageToImageFilter<ImageType> FilterType;
    typename FilterType::Pointer filter = FilterType::New();
    filter->SetInput(reslicer->GetOutput());
    filter->Update();
    filter->GetOutput()->Update();

    outputData = medAbstractDataFactory::instance()->createSmartPointer(destType);
    outputData->setData(filter->GetOutput());

    // Apply resampling in pix
    if (reformaTlbx->findChild<QComboBox*>("bySpacingOrDimension")->currentText() == "Dimension")
    {
        applyResamplingPix();
    }

    typename ImageType::Pointer outputImage = static_cast<itk::Image<DATA_TYPE, 3>*>(outputData->data());

    compensateForRadiologicalView<DATA_TYPE>(outputImage);
    correctOutputTransform<DATA_TYPE>(outputImage, reslicer->GetResliceAxes());

    // Final output image
    outputData->setData(outputImage);

    medUtilities::setDerivedMetaData(outputData, inputData, "reformatted");
    medUtilitiesITK::updateMetadata<ImageType>(outputData);
}

开发者ID:mjuhoor，项目名称:medInria-public，代码行数:30，代码来源:medResliceViewer.cpp

示例2:

void mitk::OtsuTool3D::CalculatePreview(itk::Image<TPixel, VImageDimension> *itkImage, std::vector<int> regionIDs)
{
  typedef itk::Image<TPixel, VImageDimension> InputImageType;
  typedef itk::Image<mitk::Tool::DefaultSegmentationDataType, VImageDimension> OutputImageType;

  typedef itk::BinaryThresholdImageFilter<InputImageType, OutputImageType> FilterType;

  typename FilterType::Pointer filter = FilterType::New();

  // InputImageType::Pointer itkImage;
  typename OutputImageType::Pointer itkBinaryTempImage1;
  typename OutputImageType::Pointer itkBinaryTempImage2;
  typename OutputImageType::Pointer itkBinaryResultImage;

  // mitk::Image::Pointer multiLabelSegmentation = dynamic_cast<mitk::Image*>(m_MultiLabelResultNode->GetData());
  // mitk::CastToItkImage(multiLabelSegmentation, itkImage);

  filter->SetInput(itkImage);
  filter->SetLowerThreshold(regionIDs[0]);
  filter->SetUpperThreshold(regionIDs[0]);
  filter->SetInsideValue(1);
  filter->SetOutsideValue(0);
  filter->Update();
  itkBinaryTempImage2 = filter->GetOutput();

  typename itk::OrImageFilter<OutputImageType, OutputImageType>::Pointer orFilter =
    itk::OrImageFilter<OutputImageType, OutputImageType>::New();

  // if more than one region id is used compute the union of all given binary regions
  for (std::vector<int>::iterator it = regionIDs.begin(); it != regionIDs.end(); ++it)
  {
    filter->SetLowerThreshold(*it);
    filter->SetUpperThreshold(*it);
    filter->SetInsideValue(1);
    filter->SetOutsideValue(0);
    filter->Update();
    itkBinaryTempImage1 = filter->GetOutput();

    orFilter->SetInput1(itkBinaryTempImage1);
    orFilter->SetInput2(itkBinaryTempImage2);

    orFilter->UpdateLargestPossibleRegion();
    itkBinaryResultImage = orFilter->GetOutput();
    itkBinaryTempImage2 = itkBinaryResultImage;
  }
  //----------------------------------------------------------------------------------------------------
  mitk::Image::Pointer binarySegmentation;
  mitk::CastToMitkImage(itkBinaryResultImage, binarySegmentation);
  m_BinaryPreviewNode->SetData(binarySegmentation);
  m_BinaryPreviewNode->SetVisibility(true);
  m_BinaryPreviewNode->SetProperty("outline binary", mitk::BoolProperty::New(false));

  mitk::RenderingManager::GetInstance()->RequestUpdateAll();
}

开发者ID:pollen-metrology，项目名称:MITK，代码行数:54，代码来源:mitkOtsuTool3D.cpp

示例3: doubleThresholdImageFilterITK

void DoubleThresholdImageFilterITK::doubleThresholdImageFilterITK() {
    insideValue_.setVolume(inport1_.getData());
    outsideValue_.setVolume(inport1_.getData());
    threshold1_.setVolume(inport1_.getData());
    threshold2_.setVolume(inport1_.getData());
    threshold3_.setVolume(inport1_.getData());
    threshold4_.setVolume(inport1_.getData());

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::DoubleThresholdImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetInsideValue(insideValue_.getValue<T>());
    filter->SetOutsideValue(outsideValue_.getValue<T>());
    filter->SetThreshold1(threshold1_.getValue<T>());
    filter->SetThreshold2(threshold2_.getValue<T>());
    filter->SetThreshold3(threshold3_.getValue<T>());
    filter->SetThreshold4(threshold4_.getValue<T>());
    filter->SetFullyConnected(fullyConnected_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:151706061，项目名称:Voreen，代码行数:60，代码来源:doublethresholdimagefilter.cpp

示例4: ComputeMaskedIsophotesInRegion

void ComputeMaskedIsophotesInRegion(const TVectorImageType* const image, const Mask* const mask,
                                    const itk::ImageRegion<2>& region, TIsophoteImageType* const outputIsophotes)
{
  //Helpers::WriteImageConditional<FloatScalarImageType>(image, "Debug/ComputeMaskedIsophotes.luminance.mha",
//                                                      this->DebugImages);

  typename TIsophoteImageType::Pointer gradient = TIsophoteImageType::New();
  ITKHelpers::InitializeImage(gradient.GetPointer(), image->GetLargestPossibleRegion());
  Derivatives::MaskedGradientInRegion(image, mask, region, gradient.GetPointer());

  //Helpers::DebugWriteImageConditional<FloatVector2ImageType>(gradient,
  //               "Debug/ComputeMaskedIsophotes.gradient.mha", this->DebugImages);
  //Helpers::Write2DVectorImage(gradient, "Debug/ComputeMaskedIsophotes.gradient.mha");

  // Rotate the gradient 90 degrees to obtain isophotes from gradient
  typedef itk::UnaryFunctorImageFilter<TIsophoteImageType, TIsophoteImageType,
  RotateVectors<typename TIsophoteImageType::PixelType,
                typename TIsophoteImageType::PixelType> > FilterType;

  typename FilterType::Pointer rotateFilter = FilterType::New();
  rotateFilter->SetInput(gradient);
  rotateFilter->Update();

  //Helpers::DebugWriteImageConditional<FloatVector2ImageType>(rotateFilter->GetOutput(),
  //                   "Debug/ComputeMaskedIsophotes.Isophotes.mha", this->DebugImages);
  //Helpers::Write2DVectorImage(rotateFilter->GetOutput(), "Debug/ComputeMaskedIsophotes.Isophotes.mha");

  ITKHelpers::CopyRegion(rotateFilter->GetOutput(), outputIsophotes, region, region);
}

开发者ID:nocnokneo，项目名称:PatchBasedInpainting，代码行数:29，代码来源:Isophotes.hpp

示例5:

void mitk::CLUtil::itkGaussianFilter(TImageType * image, mitk::Image::Pointer & smoothed ,double sigma)
{
  typedef itk::DiscreteGaussianImageFilter<TImageType,TImageType> FilterType;
  typename FilterType::Pointer filter = FilterType::New();
  filter->SetInput(image);
  filter->SetVariance(sigma);
  filter->Update();

  mitk::CastToMitkImage(filter->GetOutput(),smoothed);
}

开发者ID:AndreasFetzer，项目名称:MITK，代码行数:10，代码来源:mitkCLUtil.cpp

示例6: discreteGaussianImageFilterITK

void DiscreteGaussianImageFilterITK::discreteGaussianImageFilterITK() {
    maximumError_.setVolume(inport1_.getData());
    maximumError_.setMinValue<T>(1.0f);
    variance_.setVolume(inport1_.getData());

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<float, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::DiscreteGaussianImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetInternalNumberOfStreamDivisions(internalNumberOfStreamDivisions_.get());
    filter->SetMaximumError(maximumError_.getValue<T>());
    filter->SetVariance(variance_.getValue<T>());
    filter->SetUseImageSpacing(useImageSpacing_.get());
    filter->SetFilterDimensionality(filterDimensionality_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<float>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:55，代码来源:discretegaussianimagefilter.cpp

示例7: intensityWindowingImageFilterITK

void IntensityWindowingImageFilterITK::intensityWindowingImageFilterITK() {
    outputMinimum_.setVolume(inport1_.getData());
    outputMaximum_.setVolume(inport1_.getData());
    windowMinimum_.setVolume(inport1_.getData());
    windowMaximum_.setVolume(inport1_.getData());

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::IntensityWindowingImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetOutputMinimum(outputMinimum_.getValue<T>());
    filter->SetOutputMaximum(outputMaximum_.getValue<T>());
    filter->SetWindowMinimum(windowMinimum_.getValue<T>());
    filter->SetWindowMaximum(windowMaximum_.getValue<T>());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:55，代码来源:intensitywindowingimagefilter.cpp

示例8: bayesianClassifierImageFilterITK

void BayesianClassifierImageFilterITK::bayesianClassifierImageFilterITK() {

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType;
    typedef itk::Image<uint8_t, 3> OutputImageType;
    typedef itk::VectorImage<float, 3> VectorImageType;
    typename InputImageType::Pointer p1 = voreenToITK<T>(inport1_.getData());

    typedef itk::BayesianClassifierInitializationImageFilter<InputImageType> InitFilterType;
    typename InitFilterType::Pointer initializer = InitFilterType::New();

    initializer->SetInput(p1);
    initializer->SetNumberOfClasses(numberOfClasses_.get());

    try
    {
        initializer->Update();
    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }
    //Filter define
    typedef itk::BayesianClassifierImageFilter<VectorImageType> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(0, initializer->GetOutput());
    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<uint8_t>(filter->GetOutput());

    if (outputVolume1) {
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    }
    else
        outport1_.setData(0);

}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:55，代码来源:bayesianclassifierimagefilter.cpp

示例9: otsuThresholdImageFilterITK

void OtsuThresholdImageFilterITK::otsuThresholdImageFilterITK() {
    outsideValue_.setVolume(inport1_.getData());
    outsideValue_.setMinValue<T>(0.0001f);
    insideValue_.setVolume(inport1_.getData());
    insideValue_.setMinValue<T>(0.0001f);

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::OtsuThresholdImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetNumberOfHistogramBins(numberOfHistogramBins_.get());
    filter->SetOutsideValue(outsideValue_.getValue<T>());
    filter->SetInsideValue(insideValue_.getValue<T>());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:54，代码来源:otsuthresholdimagefilter.cpp

示例10: AddOffset

void AddOffset(itk::Image<TPixel, VImageDimension>* image, int offset, mitk::Image::Pointer outputImage)
{
  typedef itk::Image<TPixel, VImageDimension> ImageType;
  typedef itk::ShiftScaleInPlaceImageFilter<ImageType> FilterType;

  typename FilterType::Pointer filter = FilterType::New();
  filter->SetShift(offset);

  filter->SetInput(image);
  filter->Update();
  mitk::CastToMitkImage(filter->GetOutput(), outputImage);
}

开发者ID:cim-unito，项目名称:MITK-ProjectTemplate，代码行数:12，代码来源:AwesomeImageFilter.cpp

示例11: narrowBandThresholdSegmentationLevelSetImageFilterITK

void NarrowBandThresholdSegmentationLevelSetImageFilterITK::narrowBandThresholdSegmentationLevelSetImageFilterITK() {


    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<S, 3> InputImageType2;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());
    typename InputImageType2::Pointer p2 = voreenToITK<S>(inport2_.getData());


    //Filter define
    typedef itk::NarrowBandThresholdSegmentationLevelSetImageFilter<InputImageType1, InputImageType2> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);
    filter->SetFeatureImage(p2);

    filter->SetPropagationScaling(propagationScaling_.get());
    filter->SetCurvatureScaling(curvatureScaling_.get());
    filter->SetAdvectionScaling(advectionScaling_.get());
    filter->SetMaximumRMSError(maximumRMSError_.get());
    filter->SetNumberOfIterations(numberOfIterations_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:151706061，项目名称:Voreen，代码行数:51，代码来源:narrowbandthresholdsegmentationlevelsetimagefilter.cpp

示例12: gradientRecursiveGaussianImageFilterITK

void GradientRecursiveGaussianImageFilterITK::gradientRecursiveGaussianImageFilterITK() {

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<itk::CovariantVector<double,3>, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::GradientRecursiveGaussianImageFilter<InputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetNormalizeAcrossScale(normalizeAcrossScale_.get());
    filter->SetUseImageDirection(useImageDirection_.get());
    filter->SetSigma(sigma_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKVec3ToVoreenVec3Copy<double>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:50，代码来源:gradientrecursivegaussianimagefilter.cpp

示例13: gradientAnisotropicDiffusionImageFilterITK

void GradientAnisotropicDiffusionImageFilterITK::gradientAnisotropicDiffusionImageFilterITK() {

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::GradientAnisotropicDiffusionImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetNumberOfIterations(numberOfIterations_.get());
    filter->SetTimeStep(timeStep_.get());
    filter->SetConductanceParameter(conductanceParameter_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:151706061，项目名称:Voreen，代码行数:50，代码来源:gradientanisotropicdiffusionimagefilter.cpp

示例14: scalarConnectedComponentImageFilterITK

void ScalarConnectedComponentImageFilterITK::scalarConnectedComponentImageFilterITK() {
    distanceThreshold_.setVolume(inport1_.getData());
    distanceThreshold_.setMinValue<T>(0.001f);

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::ScalarConnectedComponentImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetDistanceThreshold(distanceThreshold_.getValue<T>());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:MKLab-ITI，项目名称:gnorasi，代码行数:50，代码来源:scalarconnectedcomponentimagefilter.cpp

示例15: relabelComponentImageFilterITK

void RelabelComponentImageFilterITK::relabelComponentImageFilterITK() {

    if (!enableProcessing_.get()) {
        outport1_.setData(inport1_.getData(), false);
        return;
    }

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;

    typename InputImageType1::Pointer p1 = voreenToITK<T>(inport1_.getData());


    //Filter define
    typedef itk::RelabelComponentImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    filter->SetMinimumObjectSize(minimumObjectSize_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();
        numberOfObjects_.set(filter->GetNumberOfObjects());
        originalNumberOfObjects_.set(filter->GetOriginalNumberOfObjects());

    }
    catch (itk::ExceptionObject &e)
    {
        LERROR(e);
    }


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<T>(filter->GetOutput());

    if (outputVolume1) {
        transferRWM(inport1_.getData(), outputVolume1);
        transferTransformation(inport1_.getData(), outputVolume1);
        outport1_.setData(outputVolume1);
    } else
        outport1_.setData(0);



}

开发者ID:151706061，项目名称:Voreen，代码行数:50，代码来源:relabelcomponentimagefilter.cpp

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