libvtk7-dev 7.1.1+dfsg1-2 / usr / include / vtk-7.1 / vtkImplicitModeller.h

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

  Program:   Visualization Toolkit
  Module:    vtkImplicitModeller.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   vtkImplicitModeller
 * @brief   compute distance from input geometry on structured point dataset
 *
 * vtkImplicitModeller is a filter that computes the distance from the input
 * geometry to the points of an output structured point set. This distance
 * function can then be "contoured" to generate new, offset surfaces from
 * the original geometry. An important feature of this object is
 * "capping". If capping is turned on, after the implicit model is created,
 * the values on the boundary of the structured points dataset are set to
 * the cap value. This is used to force closure of the resulting contoured
 * surface. Note, however, that large cap values can generate weird surface
 * normals in those cells adjacent to the boundary of the dataset. Using
 * smaller cap value will reduce this effect.
 * <P>
 * Another important ivar is MaximumDistance. This controls how far into the
 * volume the distance function is computed from the input geometry.  Small
 * values give significant increases in performance. However, there can
 * strange sampling effects at the extreme range of the MaximumDistance.
 * <P>
 * In order to properly execute and sample the input data, a rectangular
 * region in space must be defined (this is the ivar ModelBounds).  If not
 * explicitly defined, the model bounds will be computed. Note that to avoid
 * boundary effects, it is possible to adjust the model bounds (i.e., using
 * the AdjustBounds and AdjustDistance ivars) to strictly contain the
 * sampled data.
 * <P>
 * This filter has one other unusual capability: it is possible to append
 * data in a sequence of operations to generate a single output. This is
 * useful when you have multiple datasets and want to create a
 * conglomeration of all the data.  However, the user must be careful to
 * either specify the ModelBounds or specify the first item such that its
 * bounds completely contain all other items.  This is because the
 * rectangular region of the output can not be changed after the 1st Append.
 * <P>
 * The ProcessMode ivar controls the method used within the Append function
 * (where the actual work is done regardless if the Append function is
 * explicitly called) to compute the implicit model.  If set to work in voxel
 * mode, each voxel is visited once.  If set to cell mode, each cell is visited
 * once.  Tests have shown once per voxel to be faster when there are a
 * lot of cells (at least a thousand?); relative performance improvement
 * increases with addition cells. Primitives should not be stripped for best
 * performance of the voxel mode.  Also, if explicitly using the Append feature
 * many times, the cell mode will probably be better because each voxel will be
 * visited each Append.  Append the data before input if possible when using
 * the voxel mode.  Do not switch between voxel and cell mode between execution
 * of StartAppend and EndAppend.
 * <P>
 * Further performance improvement is now possible using the PerVoxel process
 * mode on multi-processor machines (the mode is now multithreaded).  Each
 * thread processes a different "slab" of the output.  Also, if the input is
 * vtkPolyData, it is appropriately clipped for each thread; that is, each
 * thread only considers the input which could affect its slab of the output.
 * <P>
 * This filter can now produce output of any type supported by vtkImageData.
 * However to support this change, additional sqrts must be executed during the
 * Append step.  Previously, the output was initialized to the squared CapValue
 * in StartAppend, the output was updated with squared distance values during
 * the Append, and then the sqrt of the distances was computed in EndAppend.
 * To support different scalar types in the output (largely to reduce memory
 * requirements as an vtkImageShiftScale and/or vtkImageCast could have
 * achieved the same result), we can't "afford" to save squared value in the
 * output, because then we could only represent up to the sqrt of the scalar
 * max for an integer type in the output; 1 (instead of 255) for an unsigned
 * char; 11 for a char (instead of 127).  Thus this change may result in a
 * minor performance degradation.  Non-float output types can be scaled to the
 * CapValue by turning ScaleToMaximumDistance On.
 *
 * @sa
 * vtkSampleFunction vtkContourFilter
*/

#ifndef vtkImplicitModeller_h
#define vtkImplicitModeller_h

#include "vtkFiltersHybridModule.h" // For export macro
#include "vtkImageAlgorithm.h"

#define VTK_VOXEL_MODE   0
#define VTK_CELL_MODE    1

class vtkDataArray;
class vtkExtractGeometry;
class vtkMultiThreader;

class VTKFILTERSHYBRID_EXPORT vtkImplicitModeller : public vtkImageAlgorithm
{
public:
  vtkTypeMacro(vtkImplicitModeller,vtkImageAlgorithm);
  void PrintSelf(ostream& os, vtkIndent indent);

  /**
   * Construct with sample dimensions=(50,50,50), and so that model bounds are
   * automatically computed from the input. Capping is turned on with CapValue
   * equal to a large positive number.
   */
  static vtkImplicitModeller *New();

  /**
   * Compute ModelBounds from input geometry. If input is not specified, the
   * input of the filter will be used.
   */
  double ComputeModelBounds(vtkDataSet *input = NULL);

  //@{
  /**
   * Set/Get the i-j-k dimensions on which to sample distance function.
   */
  vtkGetVectorMacro(SampleDimensions,int,3);
  void SetSampleDimensions(int i, int j, int k);
  void SetSampleDimensions(int dim[3]);
  //@}

  //@{
  /**
   * Set / get the distance away from surface of input geometry to
   * sample. This value is specified as a percentage of the length of
   * the diagonal of the input data bounding box.
   * Smaller values make large increases in performance.
   */
  vtkSetClampMacro(MaximumDistance,double,0.0,1.0);
  vtkGetMacro(MaximumDistance,double);
  //@}

  //@{
  /**
   * Set / get the region in space in which to perform the sampling. If
   * not specified, it will be computed automatically.
   */
  vtkSetVector6Macro(ModelBounds,double);
  vtkGetVectorMacro(ModelBounds,double,6);
  //@}

  //@{
  /**
   * Control how the model bounds are computed. If the ivar AdjustBounds
   * is set, then the bounds specified (or computed automatically) is modified
   * by the fraction given by AdjustDistance. This means that the model
   * bounds is expanded in each of the x-y-z directions.
   */
  vtkSetMacro(AdjustBounds,int);
  vtkGetMacro(AdjustBounds,int);
  vtkBooleanMacro(AdjustBounds,int);
  //@}

  //@{
  /**
   * Specify the amount to grow the model bounds (if the ivar AdjustBounds
   * is set). The value is a fraction of the maximum length of the sides
   * of the box specified by the model bounds.
   */
  vtkSetClampMacro(AdjustDistance,double,-1.0,1.0);
  vtkGetMacro(AdjustDistance,double);
  //@}

  //@{
  /**
   * The outer boundary of the structured point set can be assigned a
   * particular value. This can be used to close or "cap" all surfaces.
   */
  vtkSetMacro(Capping,int);
  vtkGetMacro(Capping,int);
  vtkBooleanMacro(Capping,int);
  //@}

  //@{
  /**
   * Specify the capping value to use. The CapValue is also used as an
   * initial distance value at each point in the dataset.
   */
  void SetCapValue(double value);
  vtkGetMacro(CapValue,double);
  //@}

  //@{
  /**
   * If a non-floating output type is specified, the output distances can be
   * scaled to use the entire positive scalar range of the output type
   * specified (up to the CapValue which is equal to the max for the type
   * unless modified by the user).  For example, if ScaleToMaximumDistance
   * is On and the OutputScalarType is UnsignedChar the distances saved in the
   * output would be linearly scaled between 0 (for distances "very close" to
   * the surface) and 255 (at the specifed maximum distance)... assuming the
   * CapValue is not changed from 255.
   */
  vtkSetMacro(ScaleToMaximumDistance, int);
  vtkGetMacro(ScaleToMaximumDistance, int);
  vtkBooleanMacro(ScaleToMaximumDistance,int);
  //@}

  //@{
  /**
   * Specify whether to visit each cell once per append or each voxel once
   * per append.  Some tests have shown once per voxel to be faster
   * when there are a lot of cells (at least a thousand?); relative
   * performance improvement increases with addition cells.  Primitives
   * should not be stripped for best performance of the voxel mode.
   */
  vtkSetClampMacro(ProcessMode, int, 0, 1);
  vtkGetMacro(ProcessMode, int);
  void SetProcessModeToPerVoxel() {this->SetProcessMode(VTK_VOXEL_MODE);}
  void SetProcessModeToPerCell()  {this->SetProcessMode(VTK_CELL_MODE);}
  const char *GetProcessModeAsString(void);
  //@}

  //@{
  /**
   * Specify the level of the locator to use when using the per voxel
   * process mode.
   */
  vtkSetMacro(LocatorMaxLevel,int);
  vtkGetMacro(LocatorMaxLevel,int);
  //@}

  //@{
  /**
   * Set / Get the number of threads used during Per-Voxel processing mode
   */
  vtkSetClampMacro( NumberOfThreads, int, 1, VTK_MAX_THREADS );
  vtkGetMacro( NumberOfThreads, int );
  //@}

  //@{
  /**
   * Set the desired output scalar type.
   */
  void SetOutputScalarType(int type);
  vtkGetMacro(OutputScalarType,int);
  void SetOutputScalarTypeToFloat(){this->SetOutputScalarType(VTK_FLOAT);};
  void SetOutputScalarTypeToDouble(){this->SetOutputScalarType(VTK_DOUBLE);};
  void SetOutputScalarTypeToInt(){this->SetOutputScalarType(VTK_INT);};
  void SetOutputScalarTypeToUnsignedInt()
    {this->SetOutputScalarType(VTK_UNSIGNED_INT);};
  void SetOutputScalarTypeToLong(){this->SetOutputScalarType(VTK_LONG);};
  void SetOutputScalarTypeToUnsignedLong()
    {this->SetOutputScalarType(VTK_UNSIGNED_LONG);};
  void SetOutputScalarTypeToShort(){this->SetOutputScalarType(VTK_SHORT);};
  void SetOutputScalarTypeToUnsignedShort()
    {this->SetOutputScalarType(VTK_UNSIGNED_SHORT);};
  void SetOutputScalarTypeToUnsignedChar()
    {this->SetOutputScalarType(VTK_UNSIGNED_CHAR);};
  void SetOutputScalarTypeToChar()
    {this->SetOutputScalarType(VTK_CHAR);};
  //@}

  /**
   * Initialize the filter for appending data. You must invoke the
   * StartAppend() method before doing successive Appends(). It's also a
   * good idea to manually specify the model bounds; otherwise the input
   * bounds for the data will be used.
   */
  void StartAppend();

  /**
   * Append a data set to the existing output. To use this function,
   * you'll have to invoke the StartAppend() method before doing
   * successive appends. It's also a good idea to specify the model
   * bounds; otherwise the input model bounds is used. When you've
   * finished appending, use the EndAppend() method.
   */
  void Append(vtkDataSet *input);

  /**
   * Method completes the append process.
   */
  void EndAppend();

  // See the vtkAlgorithm for a desciption of what these do
  int ProcessRequest(vtkInformation*,
                     vtkInformationVector**,
                     vtkInformationVector*);

protected:
  vtkImplicitModeller();
  ~vtkImplicitModeller();

  double GetScalarTypeMax(int type);

  virtual int RequestInformation (vtkInformation *,
                                  vtkInformationVector **,
                                  vtkInformationVector *);
  virtual int RequestData (vtkInformation *,
                           vtkInformationVector **, vtkInformationVector *);

  void StartAppend(int internal);
  void Cap(vtkDataArray *s);

  vtkMultiThreader *Threader;
  int              NumberOfThreads;

  int SampleDimensions[3];
  double MaximumDistance;
  double ModelBounds[6];
  int Capping;
  double CapValue;
  int DataAppended;
  int AdjustBounds;
  double AdjustDistance;
  int ProcessMode;
  int LocatorMaxLevel;
  int OutputScalarType;
  int ScaleToMaximumDistance;

  // flag to limit to one ComputeModelBounds per StartAppend
  int BoundsComputed;

  // the max distance computed during that one call
  double InternalMaxDistance;

  virtual int FillInputPortInformation(int, vtkInformation*);

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

#endif