本文整理汇总了C++中typenameimagetype::Pointer::Allocate方法的典型用法代码示例。如果您正苦于以下问题：C++ Pointer::Allocate方法的具体用法？C++ Pointer::Allocate怎么用？C++ Pointer::Allocate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::Allocate方法的7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: GenerateMaskImage
static mitk::Image::Pointer GenerateMaskImage(unsigned int dimX,
unsigned int dimY,
unsigned int dimZ,
float spacingX = 1,
float spacingY = 1,
float spacingZ = 1)
{
typedef itk::Image< TPixelType, 3 > ImageType;
typename ImageType::RegionType imageRegion;
imageRegion.SetSize(0, dimX);
imageRegion.SetSize(1, dimY);
imageRegion.SetSize(2, dimZ);
typename ImageType::SpacingType spacing;
spacing[0] = spacingX;
spacing[1] = spacingY;
spacing[2] = spacingZ;
mitk::Point3D origin; origin.Fill(0.0);
itk::Matrix<double, 3, 3> directionMatrix; directionMatrix.SetIdentity();
typename ImageType::Pointer image = ImageType::New();
image->SetSpacing( spacing );
image->SetOrigin( origin );
image->SetDirection( directionMatrix );
image->SetLargestPossibleRegion( imageRegion );
image->SetBufferedRegion( imageRegion );
image->SetRequestedRegion( imageRegion );
image->Allocate();
image->FillBuffer(1);
mitk::Image::Pointer mitkImage = mitk::Image::New();
mitkImage->InitializeByItk( image.GetPointer() );
mitkImage->SetVolume( image->GetBufferPointer() );
return mitkImage;
}示例2: maskIterator
void StrokeMask::
Write(const std::string& filename,
const TPixel& strokeValue)
{
typedef itk::Image<TPixel, 2> ImageType;
typename ImageType::Pointer image = ImageType::New();
image->SetRegions(this->GetLargestPossibleRegion());
image->Allocate();
itk::ImageRegionConstIteratorWithIndex<StrokeMask>
maskIterator(this,
this->GetLargestPossibleRegion());
while(!maskIterator.IsAtEnd())
{
if(maskIterator.Get() == StrokeMaskPixelTypeEnum::STROKE)
{
image->SetPixel(maskIterator.GetIndex(),
strokeValue);
}
else
{
image->SetPixel(maskIterator.GetIndex(), itk::NumericTraits<TPixel>::Zero);
}
++maskIterator;
}
typedef itk::ImageFileWriter<ImageType> WriterType;
typename WriterType::Pointer writer = WriterType::New();
writer->SetFileName(filename);
writer->SetInput(image);
writer->Update();
}示例3: 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4: it
static mitk::Image::Pointer GenerateGradientWithDimXImage(unsigned int dimX,
unsigned int dimY,
unsigned int dimZ,
float spacingX = 1,
float spacingY = 1,
float spacingZ = 1)
{
typedef itk::Image< TPixelType, 3 > ImageType;
typename ImageType::RegionType imageRegion;
imageRegion.SetSize(0, dimX);
imageRegion.SetSize(1, dimY);
imageRegion.SetSize(2, dimZ);
typename ImageType::SpacingType spacing;
spacing[0] = spacingX;
spacing[1] = spacingY;
spacing[2] = spacingZ;
mitk::Point3D origin; origin.Fill(0.0);
itk::Matrix<double, 3, 3> directionMatrix; directionMatrix.SetIdentity();
typename ImageType::Pointer image = ImageType::New();
image->SetSpacing( spacing );
image->SetOrigin( origin );
image->SetDirection( directionMatrix );
image->SetLargestPossibleRegion( imageRegion );
image->SetBufferedRegion( imageRegion );
image->SetRequestedRegion( imageRegion );
image->Allocate();
image->FillBuffer(0.0);
typedef itk::ImageRegionIterator<ImageType> IteratorOutputType;
IteratorOutputType it(image, imageRegion);
it.GoToBegin();
TPixelType val = 0;
while(!it.IsAtEnd())
{
it.Set(val % dimX);
val++;
++it;
}
mitk::Image::Pointer mitkImage = mitk::Image::New();
mitkImage->InitializeByItk( image.GetPointer() );
mitkImage->SetVolume( image->GetBufferPointer() );
return mitkImage;
}示例5: memcpy
Image::Pointer mitk::OpenCVToMitkImageFilter::ConvertIplToMitkImage( const IplImage * input )
{
typedef itk::Image< TPixel, VImageDimension > ImageType;
typename ImageType::Pointer output = ImageType::New();
typename ImageType::RegionType region;
typename ImageType::RegionType::SizeType size;
typename ImageType::RegionType::IndexType index;
typename ImageType::SpacingType spacing;
size.Fill( 1 );
size[0] = input->width;
size[1] = input->height;
index.Fill(0);
spacing.Fill(1);
region.SetSize(size);
region.SetIndex(index);
output->SetRegions(region);
output->SetSpacing(spacing);
output->Allocate();
// CAVE: The itk openCV bridge seem to NOT correctly copy the image data, hence the call to
// itk::OpenCVImageBridge::IplImageToITKImage<ImageType>() is simply used to initialize the itk image
// and in the next step the image data are copied by hand!
if(input->nChannels == 3) // these are RGB images and need to be set to BGR before conversion!
{
output = itk::OpenCVImageBridge::IplImageToITKImage<ImageType>(input);
}
else
{
memcpy((void*) output->GetBufferPointer(), (void*) input->imageDataOrigin,
input->width*input->height*sizeof(TPixel));
}
Image::Pointer mitkImage = Image::New();
mitkImage = GrabItkImageMemory(output);
return mitkImage;
}示例6: if
void ForegroundBackgroundSegmentMask::
Write(const std::string& filename,
const ForegroundPixelValueWrapper<TPixel>& foregroundValue,
const BackgroundPixelValueWrapper<TPixel>& backgroundValue)
{
typedef itk::Image<TPixel, 2> ImageType;
typename ImageType::Pointer image = ImageType::New();
image->SetRegions(this->GetLargestPossibleRegion());
image->Allocate();
itk::ImageRegionConstIteratorWithIndex<ForegroundBackgroundSegmentMask>
maskIterator(this,
this->GetLargestPossibleRegion());
while(!maskIterator.IsAtEnd())
{
if(maskIterator.Get() == ForegroundBackgroundSegmentMaskPixelTypeEnum::FOREGROUND)
{
image->SetPixel(maskIterator.GetIndex(),
foregroundValue.Value);
}
else if(maskIterator.Get() == ForegroundBackgroundSegmentMaskPixelTypeEnum::BACKGROUND)
{
image->SetPixel(maskIterator.GetIndex(), backgroundValue.Value);
}
++maskIterator;
}
typedef itk::ImageFileWriter<ImageType> WriterType;
typename WriterType::Pointer writer = WriterType::New();
writer->SetFileName(filename);
writer->SetInput(image);
writer->Update();
}示例7: invcondemonsforces
void invcondemonsforces(int nlhs,
mxArray *plhs[],
int nrhs,
const mxArray *prhs[])
{
typedef float PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef float VectorComponentType;
typedef itk::Vector<VectorComponentType, Dimension> VectorPixelType;
typedef itk::Image<VectorPixelType, Dimension> DeformationFieldType;
typedef itk::ESMInvConDemonsRegistrationFunction
<ImageType,ImageType,DeformationFieldType> DemonsRegistrationFunctionType;
//boost::timer timer;
// Allocate images and deformation field
typename ImageType::Pointer fixedimage
= ImageType::New();
typename ImageType::Pointer movingimage
= ImageType::New();
typename ImageType::Pointer fw_weightimage
= ImageType::New();
typename DeformationFieldType::Pointer field
= DeformationFieldType::New();
typename ImageType::Pointer jacobianimage
= ImageType::New();
typename DeformationFieldType::Pointer inv_field
= DeformationFieldType::New();
typename DeformationFieldType::Pointer update
= DeformationFieldType::New();
typename DeformationFieldType::SpacingType spacing;
spacing.Fill( 1.0 );
typename DeformationFieldType::PointType origin;
origin.Fill( 0.0 );
typename DeformationFieldType::RegionType region;
typename DeformationFieldType::SizeType size;
typename DeformationFieldType::IndexType start;
unsigned int numPix(1u);
const MatlabPixelType * fixinptr = static_cast<const MatlabPixelType *>(mxGetData(prhs[0]));
const MatlabPixelType * movinptr = static_cast<const MatlabPixelType *>(mxGetData(prhs[1]));
const MatlabPixelType * fieldinptrs[Dimension];
const MatlabPixelType * inv_fieldinptrs[Dimension];
mwSize matlabdims[Dimension];
for (unsigned int d=0; d<Dimension; d++)
{
matlabdims[d]= mxGetDimensions(prhs[0])[d];
size[d] = matlabdims[d];
start[d] = 0;
numPix *= size[d];
fieldinptrs[d] = static_cast<const MatlabPixelType *>(mxGetData(prhs[2+d]));
inv_fieldinptrs[d] = static_cast<const MatlabPixelType *>(mxGetData(prhs[2+Dimension+d]));
}
const MatlabPixelType * jacobianptr = static_cast<const MatlabPixelType *> (mxGetData(prhs[2*Dimension + 2]));
const MatlabPixelType * fw_weightptr = static_cast<const MatlabPixelType *> (mxGetData(prhs[2*Dimension + 3]));
const double RegWeight = static_cast<double>( mxGetPr(prhs[2*Dimension+4])[0] );
const unsigned int UseJacFlag = 1;
//std::cout << "RegWeight : " << RegWeight << std::endl;
region.SetSize( size );
region.SetIndex( start );
fixedimage->SetOrigin( origin );
fixedimage->SetSpacing( spacing );
fixedimage->SetRegions( region );
fixedimage->Allocate();
movingimage->SetOrigin( origin );
movingimage->SetSpacing( spacing );
movingimage->SetRegions( region );
movingimage->Allocate();
fw_weightimage->SetOrigin( origin );
fw_weightimage->SetSpacing( spacing );
fw_weightimage->SetRegions( region );
fw_weightimage->Allocate();
field->SetOrigin( origin );
field->SetSpacing( spacing );
field->SetRegions( region );
field->Allocate();
//.........这里部分代码省略.........