nmWTAI-Platform/3rd/VTK7.1/include/vtkImageGaussianSmooth.h

/*=========================================================================

  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);

  /**
   * 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();

  int Dimensionality;
  double StandardDeviations[3];
  double RadiusFactors[3];

  void ComputeKernel(double *kernel, int min, int max, double std);
  virtual int RequestUpdateExtent (vtkInformation *, vtkInformationVector **, vtkInformationVector *);
  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);

private:
  vtkImageGaussianSmooth(const vtkImageGaussianSmooth&) VTK_DELETE_FUNCTION;
  void operator=(const vtkImageGaussianSmooth&) VTK_DELETE_FUNCTION;
};

#endif