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/*=========================================================================
Program: Visualization Toolkit
Module: vtkAbstractImageInterpolator.h
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
/**
* @class vtkAbstractImageInterpolator
* @brief interpolate data values from images
*
* vtkAbstractImageInterpolator provides an abstract interface for
* interpolating image data. You specify the data set you want to
* interpolate values from, then call Interpolate(x,y,z) to interpolate
* the data.
* @par Thanks:
* Thanks to David Gobbi at the Seaman Family MR Centre and Dept. of Clinical
* Neurosciences, Foothills Medical Centre, Calgary, for providing this class.
* @sa
* vtkImageReslice vtkImageInterpolator vtkImageSincInterpolator
*/
#ifndef vtkAbstractImageInterpolator_h
#define vtkAbstractImageInterpolator_h
#include "vtkImagingCoreModule.h" // For export macro
#include "vtkObject.h"
#define VTK_IMAGE_BORDER_CLAMP 0
#define VTK_IMAGE_BORDER_REPEAT 1
#define VTK_IMAGE_BORDER_MIRROR 2
class vtkDataObject;
class vtkImageData;
class vtkDataArray;
struct vtkInterpolationInfo;
struct vtkInterpolationWeights;
class VTKIMAGINGCORE_EXPORT vtkAbstractImageInterpolator : public vtkObject
{
public:
vtkTypeMacro(vtkAbstractImageInterpolator, vtkObject);
void PrintSelf(ostream& os, vtkIndent indent) override;
/**
* Initialize the interpolator with the data that you wish to interpolate.
*/
virtual void Initialize(vtkDataObject* data);
/**
* Release any data stored by the interpolator.
*/
virtual void ReleaseData();
/**
* Copy the interpolator. It is possible to duplicate an interpolator
* by calling NewInstance() followed by DeepCopy().
*/
void DeepCopy(vtkAbstractImageInterpolator* obj);
/**
* Update the interpolator. If the interpolator has been modified by
* a Set method since Initialize() was called, you must call this method
* to update the interpolator before you can use it.
*/
void Update();
/**
* Get the result of interpolating the specified component of the input
* data, which should be set to zero if there is only one component.
* If the point is not within the bounds of the data set, then OutValue
* will be returned. This method is primarily meant for use by the
* wrapper languages.
*/
double Interpolate(double x, double y, double z, int component);
/**
* Sample the input data. This is an inline method that calls the
* function that performs the appropriate interpolation for the
* data type. If the point is not within the bounds of the data set,
* then the return value is false, and each component will be set to
* the OutValue.
*/
bool Interpolate(const double point[3], double* value);
/**
* The value to return when the point is out of bounds.
*/
void SetOutValue(double outValue);
double GetOutValue() { return this->OutValue; }
/**
* The tolerance to apply when checking whether a point is out of bounds.
* This is a fractional distance relative to the voxel size, so a tolerance
* of 1 expands the bounds by one voxel.
*/
void SetTolerance(double tol);
double GetTolerance() { return this->Tolerance; }
/**
* This method specifies which component of the input will be interpolated,
* or if ComponentCount is also set, it specifies the first component.
* When the interpolation is performed, it will be clamped to the number
* of available components.
*/
void SetComponentOffset(int offset);
int GetComponentOffset() { return this->ComponentOffset; }
/**
* This method specifies the number of components to extract. The default
* value is -1, which extracts all available components. When the
* interpolation is performed, this will be clamped to the number of
* available components.
*/
void SetComponentCount(int count);
int GetComponentCount() { return this->ComponentCount; }
/**
* Compute the number of output components based on the ComponentOffset,
* ComponentCount, and the number of components in the input data.
*/
int ComputeNumberOfComponents(int inputComponents);
/**
* Get the number of components that will be returned when Interpolate()
* is called. This is only valid after initialization. Before then, use
* ComputeNumberOfComponents instead.
*/
int GetNumberOfComponents();
//@{
/**
* A version of Interpolate that takes structured coords instead of data
* coords. Structured coords are the data coords after subtracting the
* Origin and dividing by the Spacing.
*/
void InterpolateIJK(const double point[3], double* value);
void InterpolateIJK(const float point[3], float* value);
//@}
//@{
/**
* Check an x,y,z point to see if it is within the bounds for the
* structured coords of the image. This is meant to be called prior
* to InterpolateIJK. The bounds that are checked against are the input
* image extent plus the tolerance.
*/
bool CheckBoundsIJK(const double x[3]);
bool CheckBoundsIJK(const float x[3]);
//@}
//@{
/**
* The border mode (default: clamp). This controls how out-of-bounds
* lookups are handled, i.e. how data will be extrapolated beyond the
* bounds of the image. The default is to clamp the lookup point to the
* bounds. The other modes wrap around to the opposite boundary, or
* mirror the image at the boundary.
*/
void SetBorderMode(int mode);
void SetBorderModeToClamp() { this->SetBorderMode(VTK_IMAGE_BORDER_CLAMP); }
void SetBorderModeToRepeat() { this->SetBorderMode(VTK_IMAGE_BORDER_REPEAT); }
void SetBorderModeToMirror() { this->SetBorderMode(VTK_IMAGE_BORDER_MIRROR); }
int GetBorderMode() { return this->BorderMode; }
const char* GetBorderModeAsString();
//@}
/**
* Enable sliding window for separable kernels.
* When this is enabled, the interpolator will cache partial sums in
* in order to accelerate the computation. It only makes sense to do
* this if the interpolator is used by calling InterpolateRow() while
* incrementing first the Y, and then the Z index with every call.
*/
void SetSlidingWindow(bool x);
void SlidingWindowOn() { this->SetSlidingWindow(true); }
void SlidingWindowOff() { this->SetSlidingWindow(false); }
bool GetSlidingWindow() { return this->SlidingWindow; }
/**
* Get the support size for use in computing update extents. If the data
* will be sampled on a regular grid, then pass a matrix describing the
* structured coordinate transformation between the output and the input.
* Otherwise, pass nullptr as the matrix to retrieve the full kernel size.
*/
virtual void ComputeSupportSize(const double matrix[16], int support[3]) = 0;
/**
* True if the interpolation is separable, which means that the weights
* can be precomputed in order to accelerate the interpolation. Any
* interpolator which is separable will implement the methods
* PrecomputeWeightsForExtent and InterpolateRow
*/
virtual bool IsSeparable() = 0;
//@{
/**
* If the data is going to be sampled on a regular grid, then the
* interpolation weights can be precomputed. A matrix must be supplied
* that provides a transformation between the provided extent and the
* structured coordinates of the input. This matrix must perform only
* permutation, scale, and translation, i.e. each of the three columns
* must have only one non-zero value. A checkExtent is provided that can
* be used to check which indices in the extent map to out-of-bounds
* coordinates in the input data.
*/
virtual void PrecomputeWeightsForExtent(const double matrix[16], const int extent[6],
int checkExtent[6], vtkInterpolationWeights*& weights);
virtual void PrecomputeWeightsForExtent(const float matrix[16], const int extent[6],
int checkExtent[6], vtkInterpolationWeights*& weights);
//@}
/**
* Free the weights that were provided by PrecomputeWeightsForExtent.
*/
virtual void FreePrecomputedWeights(vtkInterpolationWeights*& weights);
//@{
/**
* Get a row of samples, using the weights that were precomputed
* by PrecomputeWeightsForExtent. Note that each sample may have
* multiple components. It is possible to select which components
* will be returned by setting the ComponentOffset and ComponentCount.
*/
void InterpolateRow(
vtkInterpolationWeights*& weights, int xIdx, int yIdx, int zIdx, double* value, int n);
void InterpolateRow(
vtkInterpolationWeights*& weights, int xIdx, int yIdx, int zIdx, float* value, int n);
//@}
//@{
/**
* Get the spacing of the data being interpolated.
*/
vtkGetVector3Macro(Spacing, double);
//@}
//@{
/**
* Get the origin of the data being interpolated.
*/
vtkGetVector3Macro(Origin, double);
//@}
//@{
/**
* Get the extent of the data being interpolated.
*/
vtkGetVector6Macro(Extent, int);
//@}
//@{
/**
* Get the whole extent of the data being interpolated, including
* parts of the data that are not currently in memory.
*/
VTK_LEGACY(int* GetWholeExtent());
VTK_LEGACY(void GetWholeExtent(int extent[6]));
//@}
protected:
vtkAbstractImageInterpolator();
~vtkAbstractImageInterpolator() override;
/**
* Subclass-specific updates.
*/
virtual void InternalUpdate() = 0;
/**
* Subclass-specific copy.
*/
virtual void InternalDeepCopy(vtkAbstractImageInterpolator* obj) = 0;
//@{
/**
* Get the interpolation functions.
*/
virtual void GetInterpolationFunc(
void (**doublefunc)(vtkInterpolationInfo*, const double[3], double*));
virtual void GetInterpolationFunc(
void (**floatfunc)(vtkInterpolationInfo*, const float[3], float*));
//@}
//@{
/**
* Get the row interpolation functions.
*/
virtual void GetRowInterpolationFunc(
void (**doublefunc)(vtkInterpolationWeights*, int, int, int, double*, int));
virtual void GetRowInterpolationFunc(
void (**floatfunc)(vtkInterpolationWeights*, int, int, int, float*, int));
//@}
//@{
/**
* Get the sliding window interpolation functions.
*/
virtual void GetSlidingWindowFunc(
void (**doublefunc)(vtkInterpolationWeights*, int, int, int, double*, int));
virtual void GetSlidingWindowFunc(
void (**floatfunc)(vtkInterpolationWeights*, int, int, int, float*, int));
//@}
vtkDataArray* Scalars;
double StructuredBoundsDouble[6];
float StructuredBoundsFloat[6];
int Extent[6];
double Spacing[3];
double Origin[3];
double OutValue;
double Tolerance;
int BorderMode;
int ComponentOffset;
int ComponentCount;
bool SlidingWindow;
// information needed by the interpolator funcs
vtkInterpolationInfo* InterpolationInfo;
void (*InterpolationFuncDouble)(
vtkInterpolationInfo* info, const double point[3], double* outPtr);
void (*InterpolationFuncFloat)(vtkInterpolationInfo* info, const float point[3], float* outPtr);
void (*RowInterpolationFuncDouble)(
vtkInterpolationWeights* weights, int idX, int idY, int idZ, double* outPtr, int n);
void (*RowInterpolationFuncFloat)(
vtkInterpolationWeights* weights, int idX, int idY, int idZ, float* outPtr, int n);
private:
vtkAbstractImageInterpolator(const vtkAbstractImageInterpolator&) = delete;
void operator=(const vtkAbstractImageInterpolator&) = delete;
};
inline void vtkAbstractImageInterpolator::InterpolateIJK(const double point[3], double* value)
{
this->InterpolationFuncDouble(this->InterpolationInfo, point, value);
}
inline void vtkAbstractImageInterpolator::InterpolateIJK(const float point[3], float* value)
{
this->InterpolationFuncFloat(this->InterpolationInfo, point, value);
}
inline bool vtkAbstractImageInterpolator::CheckBoundsIJK(const double x[3])
{
const double* bounds = this->StructuredBoundsDouble;
return !((x[0] < bounds[0]) || (x[0] > bounds[1]) || (x[1] < bounds[2]) || (x[1] > bounds[3]) ||
(x[2] < bounds[4]) || (x[2] > bounds[5]));
}
inline bool vtkAbstractImageInterpolator::CheckBoundsIJK(const float x[3])
{
const float* bounds = this->StructuredBoundsFloat;
return !((x[0] < bounds[0]) || (x[0] > bounds[1]) || (x[1] < bounds[2]) || (x[1] > bounds[3]) ||
(x[2] < bounds[4]) || (x[2] > bounds[5]));
}
inline void vtkAbstractImageInterpolator::InterpolateRow(
vtkInterpolationWeights*& weights, int xIdx, int yIdx, int zIdx, double* value, int n)
{
this->RowInterpolationFuncDouble(weights, xIdx, yIdx, zIdx, value, n);
}
inline void vtkAbstractImageInterpolator::InterpolateRow(
vtkInterpolationWeights*& weights, int xIdx, int yIdx, int zIdx, float* value, int n)
{
this->RowInterpolationFuncFloat(weights, xIdx, yIdx, zIdx, value, n);
}
#endif