本文整理汇总了C++中image::Pointer::GetChannelDescriptor方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::GetChannelDescriptor方法的具体用法？C++ Pointer::GetChannelDescriptor怎么用？C++ Pointer::GetChannelDescriptor使用的例子？那么, 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image::Pointer的用法示例。
在下文中一共展示了Pointer::GetChannelDescriptor方法的1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: FeatureDescriptionPrefix
mitk::GIFVolumetricStatistics::FeatureListType mitk::GIFVolumetricStatistics::CalculateFeatures(const Image::Pointer & image, const Image::Pointer &mask)
{
FeatureListType featureList;
if (image->GetDimension() < 3)
{
return featureList;
}
AccessByItk_3(image, CalculateVolumeStatistic, mask, featureList, FeatureDescriptionPrefix());
AccessByItk_3(mask, CalculateLargestDiameter, image, featureList, FeatureDescriptionPrefix());
vtkSmartPointer<vtkImageMarchingCubes> mesher = vtkSmartPointer<vtkImageMarchingCubes>::New();
vtkSmartPointer<vtkMassProperties> stats = vtkSmartPointer<vtkMassProperties>::New();
mesher->SetInputData(mask->GetVtkImageData());
mesher->SetValue(0, 0.5);
stats->SetInputConnection(mesher->GetOutputPort());
stats->Update();
double pi = vnl_math::pi;
double meshVolume = stats->GetVolume();
double meshSurf = stats->GetSurfaceArea();
double pixelVolume = featureList[1].second;
double pixelSurface = featureList[3].second;
MITK_INFO << "Surface: " << pixelSurface << " Volume: " << pixelVolume;
double compactness1 = pixelVolume / (std::sqrt(pi) * std::pow(meshSurf, 2.0 / 3.0));
double compactness1Pixel = pixelVolume / (std::sqrt(pi) * std::pow(pixelSurface, 2.0 / 3.0));
//This is the definition used by Aertz. However, due to 2/3 this feature is not demensionless. Use compactness3 instead.
double compactness2 = 36 * pi*pixelVolume*pixelVolume / meshSurf / meshSurf / meshSurf;
double compactness2MeshMesh = 36 * pi*meshVolume*meshVolume / meshSurf / meshSurf / meshSurf;
double compactness2Pixel = 36 * pi*pixelVolume*pixelVolume / pixelSurface / pixelSurface / pixelSurface;
double compactness3 = pixelVolume / (std::sqrt(pi) * std::pow(meshSurf, 3.0 / 2.0));
double compactness3MeshMesh = meshVolume / (std::sqrt(pi) * std::pow(meshSurf, 3.0 / 2.0));
double compactness3Pixel = pixelVolume / (std::sqrt(pi) * std::pow(pixelSurface, 3.0 / 2.0));
double sphericity = std::pow(pi, 1 / 3.0) *std::pow(6 * pixelVolume, 2.0 / 3.0) / meshSurf;
double sphericityMesh = std::pow(pi, 1 / 3.0) *std::pow(6 * meshVolume, 2.0 / 3.0) / meshSurf;
double sphericityPixel = std::pow(pi, 1 / 3.0) *std::pow(6 * pixelVolume, 2.0 / 3.0) / pixelSurface;
double surfaceToVolume = meshSurf / meshVolume;
double surfaceToVolumePixel = pixelSurface / pixelVolume;
double sphericalDisproportion = meshSurf / 4 / pi / std::pow(3.0 / 4.0 / pi * pixelVolume, 2.0 / 3.0);
double sphericalDisproportionMesh = meshSurf / 4 / pi / std::pow(3.0 / 4.0 / pi * meshVolume, 2.0 / 3.0);
double sphericalDisproportionPixel = pixelSurface / 4 / pi / std::pow(3.0 / 4.0 / pi * pixelVolume, 2.0 / 3.0);
double asphericity = std::pow(1.0/compactness2, (1.0 / 3.0)) - 1;
double asphericityMesh = std::pow(1.0 / compactness2MeshMesh, (1.0 / 3.0)) - 1;
double asphericityPixel = std::pow(1.0/compactness2Pixel, (1.0 / 3.0)) - 1;
//Calculate center of mass shift
int xx = mask->GetDimensions()[0];
int yy = mask->GetDimensions()[1];
int zz = mask->GetDimensions()[2];
double xd = mask->GetGeometry()->GetSpacing()[0];
double yd = mask->GetGeometry()->GetSpacing()[1];
double zd = mask->GetGeometry()->GetSpacing()[2];
vtkSmartPointer<vtkDoubleArray> dataset1Arr = vtkSmartPointer<vtkDoubleArray>::New();
vtkSmartPointer<vtkDoubleArray> dataset2Arr = vtkSmartPointer<vtkDoubleArray>::New();
vtkSmartPointer<vtkDoubleArray> dataset3Arr = vtkSmartPointer<vtkDoubleArray>::New();
dataset1Arr->SetNumberOfComponents(1);
dataset2Arr->SetNumberOfComponents(1);
dataset3Arr->SetNumberOfComponents(1);
dataset1Arr->SetName("M1");
dataset2Arr->SetName("M2");
dataset3Arr->SetName("M3");
vtkSmartPointer<vtkDoubleArray> dataset1ArrU = vtkSmartPointer<vtkDoubleArray>::New();
vtkSmartPointer<vtkDoubleArray> dataset2ArrU = vtkSmartPointer<vtkDoubleArray>::New();
vtkSmartPointer<vtkDoubleArray> dataset3ArrU = vtkSmartPointer<vtkDoubleArray>::New();
dataset1ArrU->SetNumberOfComponents(1);
dataset2ArrU->SetNumberOfComponents(1);
dataset3ArrU->SetNumberOfComponents(1);
dataset1ArrU->SetName("M1");
dataset2ArrU->SetName("M2");
dataset3ArrU->SetName("M3");
for (int x = 0; x < xx; x++)
{
for (int y = 0; y < yy; y++)
{
for (int z = 0; z < zz; z++)
{
itk::Image<int,3>::IndexType index;
index[0] = x;
index[1] = y;
index[2] = z;
mitk::ScalarType pxImage;
mitk::ScalarType pxMask;
mitkPixelTypeMultiplex5(
mitk::FastSinglePixelAccess,
image->GetChannelDescriptor().GetPixelType(),
image,
image->GetVolumeData(),
//.........这里部分代码省略.........