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C++ Pointer::GetPointer方法代码示例

本文整理汇总了C++中typenamefiltertype::Pointer::GetPointer方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::GetPointer方法的具体用法？C++ Pointer::GetPointer怎么用？C++ Pointer::GetPointer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::GetPointer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: 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2: signedDanielssonDistanceMapImageFilterITK

void SignedDanielssonDistanceMapImageFilterITK::signedDanielssonDistanceMapImageFilterITK() {


    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<T, 3> OutputImageType1;
    typedef itk::Image<T, 3> OutputImageType2;

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


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

    filter->SetInput(p1);

    filter->SetInsideIsPositive(insideIsPositive_.get());
    filter->SetSquaredDistance(squaredDistance_.get());
    filter->SetUseImageSpacing(useImageSpacing_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

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


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

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

    Volume* outputVolume2 = 0;
    outputVolume2 = ITKToVoreenCopy<T>(filter->GetVoronoiMap());

    if (outputVolume2) {
        transferRWM(inport1_.getData(), outputVolume2);
        transferTransformation(inport1_.getData(), outputVolume2);
        outport2_.setData(outputVolume2);
    } else
        outport2_.setData(0);



}
开发者ID:151706061，项目名称:Voreen，代码行数:57，代码来源:signeddanielssondistancemapimagefilter.cpp

示例3: 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4: 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5: 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6: 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7: 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8: 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9: 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10: 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11: 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

示例12: labelOverlayImageFilterITK

void LabelOverlayImageFilterITK::labelOverlayImageFilterITK() {
    backgroundValue_.setVolume(inport1_.getData());


    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<S, 3> InputImageType2;
    typedef itk::Image<itk::CovariantVector<uint8_t,3>, 3> OutputImageType1;

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


    //Filter define
    typedef itk::LabelOverlayImageFilter<InputImageType1, InputImageType2, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

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

    filter->SetOpacity(opacity_.get());
    filter->SetBackgroundValue(backgroundValue_.getValue<T>());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

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


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKVec3ToVoreenVec3Copy<uint8_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:49，代码来源:labeloverlayimagefilter.cpp

示例13: maskImageFilterITK

void MaskImageFilterITK::maskImageFilterITK() {
    outsideValue_.setVolume(inport1_.getData());


    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::MaskImageFilter<InputImageType1, InputImageType2, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

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

    filter->SetOutsideValue(outsideValue_.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:151706061，项目名称:Voreen，代码行数:48，代码来源:maskimagefilter.cpp

示例14: watershedImageFilterITK

void WatershedImageFilterITK::watershedImageFilterITK() {

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

    typedef itk::Image<T, 3> InputImageType1;
    typedef itk::Image<VolumeRAM_UInt64, 3> OutputImageType1;


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


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

    filter->SetInput(p1);

    filter->SetLevel(level_.get());
    filter->SetThreshold(threshold_.get());


    observe(filter.GetPointer());

    try
    {
        filter->Update();

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


    Volume* outputVolume1 = 0;
    outputVolume1 = ITKToVoreenCopy<itk::IdentifierType>(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:48，代码来源:watershedimagefilter.cpp

示例15: grayscaleGrindPeakImageFilterITK

void GrayscaleGrindPeakImageFilterITK::grayscaleGrindPeakImageFilterITK() {

    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::GrayscaleGrindPeakImageFilter<InputImageType1, OutputImageType1> FilterType;
    typename FilterType::Pointer filter = FilterType::New();

    filter->SetInput(p1);

    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:MKLab-ITI，项目名称:gnorasi，代码行数:48，代码来源:grayscalegrindpeakimagefilter.cpp


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