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vtkImageGaussianSmooth.h
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vtkImageGaussianSmooth.h
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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageGaussianSmooth.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 vtkImageGaussianSmooth
* @brief Performs a gaussian convolution.
*
* vtkImageGaussianSmooth implements a convolution of the input image
* with a gaussian. Supports from one to three dimensional convolutions.
*/
#ifndef vtkImageGaussianSmooth_h
#define vtkImageGaussianSmooth_h
#include "vtkImagingGeneralModule.h" // For export macro
#include "vtkThreadedImageAlgorithm.h"
class VTKIMAGINGGENERAL_EXPORT vtkImageGaussianSmooth : public vtkThreadedImageAlgorithm
{
public:
vtkTypeMacro(vtkImageGaussianSmooth,vtkThreadedImageAlgorithm);
void PrintSelf(ostream& os, vtkIndent indent) override;
/**
* Creates an instance of vtkImageGaussianSmooth with the following
* defaults: Dimensionality 3, StandardDeviations( 2, 2, 2),
* Radius Factors ( 1.5, 1.5, 1.5)
*/
static vtkImageGaussianSmooth *New();
//@{
/**
* Sets/Gets the Standard deviation of the gaussian in pixel units.
*/
vtkSetVector3Macro(StandardDeviations, double);
void SetStandardDeviation(double std)
{this->SetStandardDeviations(std,std,std);}
void SetStandardDeviations(double a,double b)
{this->SetStandardDeviations(a,b,0.0);}
vtkGetVector3Macro(StandardDeviations, double);
//@}
/**
* Sets/Gets the Standard deviation of the gaussian in pixel units.
* These methods are provided for compatibility with old scripts
*/
void SetStandardDeviation(double a,double b)
{this->SetStandardDeviations(a,b,0.0);}
void SetStandardDeviation(double a,double b,double c)
{this->SetStandardDeviations(a,b,c);}
//@{
/**
* Sets/Gets the Radius Factors of the gaussian (no unit).
* The radius factors determine how far out the gaussian kernel will
* go before being clamped to zero.
*/
vtkSetVector3Macro(RadiusFactors, double);
void SetRadiusFactors(double f, double f2) {
this->SetRadiusFactors(f,f2,1.5);}
void SetRadiusFactor(double f) {this->SetRadiusFactors(f, f, f);}
vtkGetVector3Macro(RadiusFactors, double);
//@}
//@{
/**
* Set/Get the dimensionality of this filter. This determines whether
* a one, two, or three dimensional gaussian is performed.
*/
vtkSetMacro(Dimensionality, int);
vtkGetMacro(Dimensionality, int);
//@}
protected:
vtkImageGaussianSmooth();
~vtkImageGaussianSmooth() override;
int Dimensionality;
double StandardDeviations[3];
double RadiusFactors[3];
void ComputeKernel(double *kernel, int min, int max, double std);
int RequestUpdateExtent (vtkInformation *, vtkInformationVector **, vtkInformationVector *) override;
void InternalRequestUpdateExtent(int *, int*);
void ExecuteAxis(int axis, vtkImageData *inData, int inExt[6],
vtkImageData *outData, int outExt[6],
int *pcycle, int target, int *pcount, int total,
vtkInformation *inInfo);
void ThreadedRequestData(vtkInformation *request,
vtkInformationVector **inputVector,
vtkInformationVector *outputVector,
vtkImageData ***inData, vtkImageData **outData,
int outExt[6], int id) override;
private:
vtkImageGaussianSmooth(const vtkImageGaussianSmooth&) = delete;
void operator=(const vtkImageGaussianSmooth&) = delete;
};
#endif