本文整理汇总了C++中typenameimagetype::Pointer::TransformIndexToPhysicalPoint方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::TransformIndexToPhysicalPoint方法的具体用法？C++ Pointer::TransformIndexToPhysicalPoint怎么用？C++ Pointer::TransformIndexToPhysicalPoint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typenameimagetype::Pointer的用法示例。
在下文中一共展示了Pointer::TransformIndexToPhysicalPoint方法的2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: imageIt
typename PatchExtractor<PValue>::ImageType::Pointer
PatchExtractor<PValue>::ExtractPatch()
{
ContIndexType startIndex;
for(unsigned int i = 0; i < 2; i++)
{
startIndex[i] = m_Center[i] - (m_Size[i] / 2.0);
}
startIndex[2] = 0;
PointType newOrigin;
m_Image->TransformContinuousIndexToPhysicalPoint(startIndex, newOrigin);
typename ImageType::Pointer patch = ImageType::New();
patch->SetDirection(m_Image->GetDirection());
patch->SetOrigin(newOrigin);
patch->SetSpacing(m_Image->GetSpacing());
typename ImageType::RegionType region;
m_Size[2] = 1;
region.SetSize(m_Size);
patch->SetRegions(region);
patch->Allocate();
typedef itk::NearestNeighborInterpolateImageFunction<ImageType, double> InterpolatorType;
typename InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetInputImage(m_Image);
itk::ImageRegionIterator<ImageType> imageIt(patch, region);
while(!imageIt.IsAtEnd())
{
typename ImageType::IndexType index = imageIt.GetIndex();
PointType point;
patch->TransformIndexToPhysicalPoint(index, point);
if(interpolator->IsInsideBuffer(point))
imageIt.Set(interpolator->Evaluate(point));
else
imageIt.Set(0);
++imageIt;
}
return patch;
}示例2: addPaddingItk
void WorkbenchUtils::addPaddingItk(itk::Image <PixelType, ImageDimension> *itkImage, Axis axis, bool append,
int numberOfSlices, float pixelValue, Image::Pointer outImage) {
// pixel type is templated. The input field for the value is set to float, so the user might enter some invalid values for the image type at hand.
// since all primitive built-in types have well defined casting behaviour between each other, we'll just do a typecast. we will clip the entered
// value at PixelTypes min/max to prevent an overflow. The possible loss of precision is ignored.
float lower = itk::NumericTraits<PixelType>::min();
float upper = itk::NumericTraits<PixelType>::max();
float clippedPixelValue = std::max(lower, std::min(pixelValue, upper));
PixelType paddingPixelValue = (PixelType) clippedPixelValue;
typedef itk::Image <PixelType, ImageDimension> ImageType;
// gather all data
typename ImageType::SizeType lowerBound;
typename ImageType::SizeType upperBound;
lowerBound.Fill(0);
upperBound.Fill(0);
unsigned int itkAxis = convertToItkAxis(axis);
if (append) {
upperBound[itkAxis] = numberOfSlices;
} else {
lowerBound[itkAxis] = numberOfSlices;
}
// setup the filter
typedef itk::ConstantPadImageFilter <ImageType, ImageType> PadFilterType;
typename PadFilterType::Pointer padFilter = PadFilterType::New();
padFilter->SetInput(itkImage);
padFilter->SetConstant(paddingPixelValue);
padFilter->SetPadLowerBound(lowerBound);
padFilter->SetPadUpperBound(upperBound);
padFilter->UpdateLargestPossibleRegion();
// Update the origin, since padding creates negative index that is lost when returned to MITK
typename ImageType::Pointer paddedImage = padFilter->GetOutput();
typename ImageType::RegionType paddedImageRegion = paddedImage->GetLargestPossibleRegion();
typename ImageType::PointType origin;
paddedImage->TransformIndexToPhysicalPoint(paddedImageRegion.GetIndex(), origin);
paddedImage->SetOrigin(origin);
// get the results and cast them back to mitk. return via out parameter.
outImage->InitializeByItk(paddedImage.GetPointer());
CastToMitkImage(paddedImage, outImage);
}