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160 lines
6.0 KiB
C
160 lines
6.0 KiB
C
3 weeks ago
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/*=========================================================================
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Program: Visualization Toolkit
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Module: vtkImageBSplineCoefficients.h
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Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
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All rights reserved.
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See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
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This software is distributed WITHOUT ANY WARRANTY; without even
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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PURPOSE. See the above copyright notice for more information.
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=========================================================================*/
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/**
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* @class vtkImageBSplineCoefficients
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* @brief convert image to b-spline knots
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*
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* vtkImageBSplineCoefficients prepares an image for b-spline
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* interpolation by converting the image values into b-spline
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* knot coefficients. It is a necessary pre-filtering step
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* before applying b-spline interpolation with vtkImageReslice.
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*
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* This class is based on code provided by Philippe Thevenaz of
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* EPFL, Lausanne, Switzerland. Please acknowledge his contribution
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* by citing the following paper:
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* [1] P. Thevenaz, T. Blu, M. Unser, "Interpolation Revisited,"
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* IEEE Transactions on Medical Imaging 19(7):739-758, 2000.
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*
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* The clamped boundary condition (which is the default) is taken
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* from code presented in the following paper:
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* [2] D. Ruijters, P. Thevenaz,
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* "GPU Prefilter for Accurate Cubic B-spline Interpolation,"
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* The Computer Journal, doi: 10.1093/comjnl/bxq086, 2010.
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*
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* @par Thanks:
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* This class was written by David Gobbi at the Seaman Family MR Research
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* Centre, Foothills Medical Centre, Calgary, Alberta.
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* DG Gobbi and YP Starreveld,
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* "Uniform B-Splines for the VTK Imaging Pipeline,"
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* VTK Journal, 2011,
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* http://hdl.handle.net/10380/3252
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*/
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#ifndef vtkImageBSplineCoefficients_h
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#define vtkImageBSplineCoefficients_h
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#include "vtkImageBSplineInterpolator.h" // for constants
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#include "vtkImagingCoreModule.h" // For export macro
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#include "vtkThreadedImageAlgorithm.h"
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class VTKIMAGINGCORE_EXPORT vtkImageBSplineCoefficients : public vtkThreadedImageAlgorithm
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{
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public:
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static vtkImageBSplineCoefficients* New();
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vtkTypeMacro(vtkImageBSplineCoefficients, vtkThreadedImageAlgorithm);
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void PrintSelf(ostream& os, vtkIndent indent) override;
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//@{
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/**
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* Set the degree of the spline polynomial. The default value is 3,
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* and the maximum is 9.
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*/
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vtkSetClampMacro(SplineDegree, int, 0, VTK_IMAGE_BSPLINE_DEGREE_MAX);
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vtkGetMacro(SplineDegree, int);
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//@}
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//@{
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/**
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* Set the border mode. The filter that is used to create the
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* coefficients must repeat the image somehow to make a theoritically
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* infinite input. The default is to clamp values that are off the
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* edge of the image, to the value at the closest point on the edge.
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* The other ways of virtually extending the image are to produce
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* mirrored copies, which results in optimal smoothness at the boundary,
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* or to repeat the image, which results in a cyclic or periodic spline.
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*/
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vtkSetClampMacro(BorderMode, int, VTK_IMAGE_BORDER_CLAMP, VTK_IMAGE_BORDER_MIRROR);
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void SetBorderModeToClamp() { this->SetBorderMode(VTK_IMAGE_BORDER_CLAMP); }
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void SetBorderModeToRepeat() { this->SetBorderMode(VTK_IMAGE_BORDER_REPEAT); }
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void SetBorderModeToMirror() { this->SetBorderMode(VTK_IMAGE_BORDER_MIRROR); }
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vtkGetMacro(BorderMode, int);
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const char* GetBorderModeAsString();
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//@}
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//@{
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/**
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* Set the scalar type of the output. Default is float.
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* Floating-point output is used to avoid overflow, since the
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* range of the output values is larger than the input values.
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*/
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vtkSetClampMacro(OutputScalarType, int, VTK_FLOAT, VTK_DOUBLE);
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vtkGetMacro(OutputScalarType, int);
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void SetOutputScalarTypeToFloat() { this->SetOutputScalarType(VTK_FLOAT); }
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void SetOutputScalarTypeToDouble() { this->SetOutputScalarType(VTK_DOUBLE); }
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const char* GetOutputScalarTypeAsString();
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//@}
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//@{
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/**
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* Bypass the filter, do not do any processing. If this is on,
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* then the output data will reference the input data directly,
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* and the output type will be the same as the input type. This
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* is useful a downstream filter sometimes uses b-spline interpolation
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* and sometimes uses other forms of interpolation.
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*/
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vtkSetMacro(Bypass, vtkTypeBool);
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vtkBooleanMacro(Bypass, vtkTypeBool);
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vtkGetMacro(Bypass, vtkTypeBool);
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//@}
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/**
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* Check a point against the image bounds. Return 0 if out of bounds,
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* and 1 if inside bounds. Calling Evaluate on a point outside the
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* bounds will not generate an error, but the value returned will
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* depend on the BorderMode.
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*/
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int CheckBounds(const double point[3]);
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//@{
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/**
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* Interpolate a value from the image. You must call Update() before
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* calling this method for the first time. The first signature can
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* return multiple components, while the second signature is for use
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* on single-component images.
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*/
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void Evaluate(const double point[3], double* value);
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double Evaluate(double x, double y, double z);
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double Evaluate(const double point[3]) { return this->Evaluate(point[0], point[1], point[2]); }
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//@}
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protected:
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vtkImageBSplineCoefficients();
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~vtkImageBSplineCoefficients() override;
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void AllocateOutputData(vtkImageData* out, vtkInformation* outInfo, int* uExtent) override;
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vtkImageData* AllocateOutputData(vtkDataObject* out, vtkInformation* outInfo) override;
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int RequestData(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
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int RequestInformation(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
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int RequestUpdateExtent(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
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void ThreadedExecute(
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vtkImageData* inData, vtkImageData* outData, int outExt[6], int threadId) override;
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int SplineDegree;
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int BorderMode;
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int OutputScalarType;
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vtkTypeBool Bypass;
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int DataWasPassed;
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int Iteration;
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private:
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vtkImageBSplineCoefficients(const vtkImageBSplineCoefficients&) = delete;
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void operator=(const vtkImageBSplineCoefficients&) = delete;
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};
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#endif
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