ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkBSplineScatteredDataPointSetToImageFilter.h>
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef TOutputImage | ImageType |
typedef ImageType::IndexType | IndexType |
typedef BSplineKernelFunction< 0 > | KernelOrder0Type |
typedef BSplineKernelFunction< 1 > | KernelOrder1Type |
typedef BSplineKernelFunction< 2 > | KernelOrder2Type |
typedef BSplineKernelFunction< 3 > | KernelOrder3Type |
typedef CoxDeBoorBSplineKernelFunction< 3 > | KernelType |
typedef ImageType::PixelType | PixelType |
typedef PointSetType::PointDataContainer | PointDataContainerType |
typedef PointSetType::PixelType | PointDataType |
typedef SmartPointer< Self > | Pointer |
typedef PointSetType::Pointer | PointSetPointer |
typedef TInputPointSet | PointSetType |
typedef PointSetType::PointType | PointType |
typedef float | RealType |
typedef ImageType::RegionType | RegionType |
typedef BSplineScatteredDataPointSetToImageFilter | Self |
typedef ImageType::SizeType | SizeType |
typedef PointSetToImageFilter < TInputPointSet, TOutputImage > | Superclass |
typedef VectorContainer < unsigned, RealType > | WeightsContainerType |
typedef Image< PointDataType, itkGetStaticConstMacro(ImageDimension)> | PointDataImageType |
typedef Image< RealType, itkGetStaticConstMacro(ImageDimension)> | RealImageType |
typedef RealImageType::Pointer | RealImagePointer |
typedef PointDataImageType::Pointer | PointDataImagePointer |
typedef FixedArray< unsigned, itkGetStaticConstMacro(ImageDimension)> | ArrayType |
Public Types inherited from itk::PointSetToImageFilter< TInputPointSet, TOutputImage > | |
typedef TOutputImage::DirectionType | DirectionType |
typedef InputPointSetType::ConstPointer | InputPointSetConstPointer |
typedef InputPointSetType::Pointer | InputPointSetPointer |
typedef TInputPointSet | InputPointSetType |
typedef OutputImageType::Pointer | OutputImagePointer |
typedef Superclass::OutputImageRegionType | OutputImageRegionType |
typedef TOutputImage | OutputImageType |
typedef TOutputImage::SpacingType | SpacingType |
typedef OutputImageType::ValueType | ValueType |
Public Types inherited from itk::ImageSource< TOutputImage > | |
typedef Superclass::DataObjectIdentifierType | DataObjectIdentifierType |
typedef DataObject::Pointer | DataObjectPointer |
typedef Superclass::DataObjectPointerArraySizeType | DataObjectPointerArraySizeType |
typedef OutputImageType::PixelType | OutputImagePixelType |
Public Types inherited from itk::ProcessObject | |
typedef std::vector < DataObjectPointer > | DataObjectPointerArray |
typedef std::vector < DataObjectIdentifierType > | NameArray |
Public Types inherited from itk::Object | |
Public Types inherited from itk::LightObject |
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::PointSetToImageFilter< TInputPointSet, TOutputImage > | |
static const unsigned int | InputPointSetDimension = InputPointSetType::PointDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > |
Private Member Functions | |
BSplineScatteredDataPointSetToImageFilter (const Self &) | |
void | CollapsePhiLattice (PointDataImageType *, PointDataImageType *, const RealType, const unsigned int) |
void | GenerateOutputImage () |
IndexType | NumberToIndex (const unsigned int, const SizeType) |
void | operator= (const Self &) |
void | RefineControlPointLattice () |
void | SetPhiLatticeParametricDomainParameters () |
void | ThreadedGenerateDataForFitting (const RegionType &, ThreadIdType) |
void | ThreadedGenerateDataForReconstruction (const RegionType &, ThreadIdType) |
void | UpdatePointSet () |
Private Attributes | |
RealType | m_BSplineEpsilon |
ArrayType | m_CloseDimension |
unsigned int | m_CurrentLevel |
ArrayType | m_CurrentNumberOfControlPoints |
std::vector < PointDataImagePointer > | m_DeltaLatticePerThread |
bool | m_DoMultilevel |
bool | m_GenerateOutputImage |
PointDataContainerType::Pointer | m_InputPointData |
bool | m_IsFittingComplete |
KernelType::Pointer | m_Kernel [ImageDimension] |
KernelOrder0Type::Pointer | m_KernelOrder0 |
KernelOrder1Type::Pointer | m_KernelOrder1 |
KernelOrder2Type::Pointer | m_KernelOrder2 |
KernelOrder3Type::Pointer | m_KernelOrder3 |
unsigned int | m_MaximumNumberOfLevels |
ArrayType | m_NumberOfControlPoints |
ArrayType | m_NumberOfLevels |
std::vector< RealImagePointer > | m_OmegaLatticePerThread |
PointDataContainerType::Pointer | m_OutputPointData |
PointDataImageType::Pointer | m_PhiLattice |
WeightsContainerType::Pointer | m_PointWeights |
PointDataImageType::Pointer | m_PsiLattice |
vnl_matrix< RealType > | m_RefinedLatticeCoefficients [ImageDimension] |
ArrayType | m_SplineOrder |
bool | m_UsePointWeights |
Additional Inherited Members | |
Protected Attributes inherited from itk::PointSetToImageFilter< TInputPointSet, TOutputImage > | |
DirectionType | m_Direction |
ValueType | m_InsideValue |
PointType | m_Origin |
ValueType | m_OutsideValue |
SizeType | m_Size |
SpacingType | m_Spacing |
Image filter which provides a B-spline output approximation.
Given an n-D image with scattered data, this filter finds a fast approximation to that irregularly spaced data using uniform B-splines. The traditional method of inverting the observation matrix to find a least-squares fit is made obsolete. Therefore, memory issues are not a concern and inverting large matrices is not applicable. In addition, this allows fitting to be multi-threaded. This class generalizes from Lee's original paper to encompass n-D data in m-D parametric space and any feasible B-spline order as well as the option of specifying a confidence value for each point.
In addition to specifying the input point set, one must specify the number of control points. The specified number of control points must be greater than m_SplineOrder. If one wishes to use the multilevel component of this algorithm, one must also specify the number of levels in the hierarchy. If this is desired, the number of control points becomes the number of control points for the coarsest level. The algorithm then increases the number of control points at each level so that the B-spline n-D grid is refined to twice the previous level.
There are two parts to fitting scattered data: the parameterization assignment problem and the fitting problem given a parameterization. This filter only addresses the second problem in that the user must provide a parametric value for each scattered datum. Different parametric assignment schemes result in different B-spline object outputs.
This filter is general in that it accepts n-D scattered data in m-D parametric dimensions. Input to this filter is an m-D point set with a Vector data type of n dimensions. This means that the parametric values are stored in the points container of the point set whereas the scattered data are stored in the points data container of the point set.
Typical B-spline objects include curves, which have a parametric dimension of 1 and a data dimension of 2 or 3 (depending on the space in which the curve resides) and deformation fields which commonly have parametric and data dimensions of 2 or 3 (again depending on the space of the field). As an example, a curve through a set of 2D points has data dimension 2 and parametric dimension 1. The univariate curve could be represented as: <x(u),y(u)> Another example is a 3D deformation of 3D points, which has parametric dimension 3 and data dimension 3 and can be represented as: <dx(u,v,w), dy(u,v,w), dz(u,v,w)>. However, as mentioned before, the code is general such that, if the user wanted, she could model a time varying 3-D displacement field which resides in 4-D space as <dx(u, v, w, t), dy(u, v, w, t), dz(u, v, w, t)>.
The output is an image defining the sampled B-spline parametric domain where each pixel houses the sampled B-spline object value. For a curve fit to 3-D points, the output is a 1-D image where each voxel contains a vector with the approximated (x,y,z) location. The continuous, finite, rectilinear domain (as well as the sampling rate) is specified via the combination of the SetSpacing() and SetSize() functions. For a 2-D deformation on 2-D points, the output is a 2-D image where each voxel contains the approximated (dx, dy) vector.
The parameterization must be specified using SetPoint, where the actual coordinates of the point are set via SetPointData. For example, to compute a spline through the (ordered) 2D points (5,6) and (7,8), you should use:
This code was contributed in the Insight Journal paper: "N-D C^k B-Spline Scattered Data Approximation" by Nicholas J. Tustison, James C. Gee http://hdl.handle.net/1926/140 http://www.insight-journal.org/browse/publication/57
Definition at line 129 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef FixedArray<unsigned, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ArrayType |
Image types
Definition at line 172 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef SmartPointer<const Self> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ConstPointer |
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 136 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef TOutputImage itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ImageType |
Definition at line 145 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef ImageType::IndexType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::IndexType |
Definition at line 152 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef BSplineKernelFunction<0> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder0Type |
Definition at line 179 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef BSplineKernelFunction<1> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder1Type |
Definition at line 180 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef BSplineKernelFunction<2> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder2Type |
Definition at line 181 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef BSplineKernelFunction<3> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder3Type |
Definition at line 182 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef CoxDeBoorBSplineKernelFunction<3> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelType |
Interpolation kernel type (default spline order = 3)
Definition at line 178 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef ImageType::PixelType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PixelType |
Image typedef support.
Definition at line 149 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointSetType::PointDataContainer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataContainerType |
Definition at line 158 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointDataImageType::Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataImagePointer |
Image types
Definition at line 170 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef Image<PointDataType, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataImageType |
Image types
Definition at line 166 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointSetType::PixelType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataType |
Definition at line 157 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef SmartPointer<Self> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Pointer |
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 135 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointSetType::Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointSetPointer |
Definition at line 156 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef TInputPointSet itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointSetType |
Definition at line 146 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointSetType::PointType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointType |
PointSet typedef support.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 155 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef RealImageType::Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealImagePointer |
Image types
Definition at line 169 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef Image<RealType, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealImageType |
Image types
Definition at line 168 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef float itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealType |
Other typedef
Definition at line 161 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef ImageType::RegionType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RegionType |
Definition at line 150 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef BSplineScatteredDataPointSetToImageFilter itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 133 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef ImageType::SizeType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SizeType |
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 151 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef PointSetToImageFilter<TInputPointSet, TOutputImage> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Superclass |
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
Definition at line 134 of file itkBSplineScatteredDataPointSetToImageFilter.h.
typedef VectorContainer<unsigned, RealType> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::WeightsContainerType |
Definition at line 162 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.
Reimplemented from itk::ImageSource< TOutputImage >.
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If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.
Reimplemented from itk::ImageSource< TOutputImage >.
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Sub-function used by GenerateOutputImageFast() to generate the sampled B-spline object quickly.
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
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A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
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This function is not used as it requires an evaluation of all (SplineOrder+1)^ImageDimensions B-spline weights for each evaluation.
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The result of the fitting process is an n-D grid of control points which describe the continuous B-spline object. This boolean value determines whether or not this sampled B-spline object is constructed.
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This array of 0/1 values defines whether a particular dimension of the parametric space is to be considered periodic or not. For example, if you are using interpolating along a 1D closed curve, the array type will have size 1, and you should set the first element of this array to the value "1". In the case that you were interpolating in a planar surface with cylindrical topology, the array type will have two components, and you should set to "1" the component that goes around the cylinder, and set to "0" the component that goes from the top of the cylinder to the bottom. This will indicate the periodity of that parameter to the filter. Internally, in order to make periodic the domain of the parameter, the filter will reuse some of the points at the beginning of the domain as if they were also located at the end of the domain. The number of points to be reused will depend on the spline order. As a user, you don't need to replicate the points, the filter will do this for you.
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Get the number of current control points for each parametric dimension at the current fitting level. The B-spline mesh size is equal to the number of control points minus the spline order. Default = 4 in each dimension.
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The result of the fitting process is an n-D grid of control points which describe the continuous B-spline object. This boolean value determines whether or not this sampled B-spline object is constructed.
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Set the number of control points for each parametric dimension at the initial fitting level. The B-spline mesh size is equal to the number of control points minus the spline order. Default = 4 in each dimension.
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Get the number of fitting levels for all parametric dimensions. Starting with the mesh size implied by setting the number of control points, the mesh size is doubled at each fitting level. Default = 1 in all parametric dimensions.
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Get the control point lattice produced by the fitting process.
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Get the spline order for all parametric dimensions. The spline order determines the continuity between B-spline elements and the degree of polynomial used to construct the B-spline elements. Default = 3.
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Method for creation through the object factory.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
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Convert number to index given a size of image. Used to index the local control point neighborhoods.
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Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.
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Function used to propagate the fitting solution at one fitting level to the next level with the mesh resolution doubled.
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This array of 0/1 values defines whether a particular dimension of the parametric space is to be considered periodic or not. For example, if you are using interpolating along a 1D closed curve, the array type will have size 1, and you should set the first element of this array to the value "1". In the case that you were interpolating in a planar surface with cylindrical topology, the array type will have two components, and you should set to "1" the component that goes around the cylinder, and set to "0" the component that goes from the top of the cylinder to the bottom. This will indicate the periodity of that parameter to the filter. Internally, in order to make periodic the domain of the parameter, the filter will reuse some of the points at the beginning of the domain as if they were also located at the end of the domain. The number of points to be reused will depend on the spline order. As a user, you don't need to replicate the points, the filter will do this for you.
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The result of the fitting process is an n-D grid of control points which describe the continuous B-spline object. This boolean value determines whether or not this sampled B-spline object is constructed.
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Set the number of control points for each parametric dimension at the initial fitting level. The B-spline mesh size is equal to the number of control points minus the spline order. Default = 4 in each dimension.
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetNumberOfLevels | ( | unsigned | int | ) |
Set the number of fitting levels assuming the number of fitting levels is the same for each parametric dimension. Starting with the mesh size implied by setting the number of control points, the mesh size is doubled at each fitting level. Default = 1 in all parametric dimensions.
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetNumberOfLevels | ( | const ArrayType & | ) |
Set the number of fitting levels in each parametric dimension separately. Starting with the mesh size implied by setting the number of control points, the mesh size is doubled at each fitting level. Default = 1 in all parametric dimensions.
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Set the grid parametric domain parameters such as the origin, size, spacing, and direction.
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetPointWeights | ( | WeightsContainerType * | weights | ) |
A weighted fitting is possible where each input point is assigned a relative weighting.
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetSplineOrder | ( | unsigned | int | ) |
Set the spline order assuming it is the same in all parametric dimensions. The spline order determines the continuity between B-spline elements and the degree of polynomial used to construct the B-spline elements. Default = 3.
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetSplineOrder | ( | const ArrayType & | ) |
Set the spline order for each parametric dimension separately. The spline order determines the continuity between B-spline elements and the degree of polynomial used to construct the B-spline elements. Default = 3.
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Function used to generate the sampled B-spline object quickly.
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Function used to generate the sampled B-spline object quickly.
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Determine the residuals after fitting to one level.
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Extract dimension from the output image.
Definition at line 143 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 420 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 396 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 393 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 395 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 418 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 389 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 390 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 407 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 421 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 410 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 412 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 413 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 414 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 415 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 392 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 394 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 398 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 417 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 408 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 402 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 400 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 403 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 405 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 397 of file itkBSplineScatteredDataPointSetToImageFilter.h.
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Definition at line 391 of file itkBSplineScatteredDataPointSetToImageFilter.h.