Cloned library of VTK-5.0.0 with extra build files for internal package management.
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/*=========================================================================
Program: Visualization Toolkit
Module: $RCSfile: vtkImplicitModeller.h,v $
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.
=========================================================================*/
// .NAME vtkImplicitModeller - compute distance from input geometry on structured point dataset
// .SECTION Description
// 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.
//
// .SECTION See Also
// vtkSampleFunction vtkContourFilter
#ifndef __vtkImplicitModeller_h
#define __vtkImplicitModeller_h
#include "vtkImageAlgorithm.h"
#define VTK_VOXEL_MODE 0
#define VTK_CELL_MODE 1
class vtkDataArray;
class vtkExtractGeometry;
class vtkMultiThreader;
class VTK_HYBRID_EXPORT vtkImplicitModeller : public vtkImageAlgorithm
{
public:
vtkTypeRevisionMacro(vtkImplicitModeller,vtkImageAlgorithm);
void PrintSelf(ostream& os, vtkIndent indent);
// Description:
// 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();
// Description:
// Compute ModelBounds from input geometry. If input is not specified, the
// input of the filter will be used.
double ComputeModelBounds(vtkDataSet *input = NULL);
// Description:
// 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]);
// Description:
// Set / get the distance away from surface of input geometry to
// sample. Smaller values make large increases in performance.
vtkSetClampMacro(MaximumDistance,double,0.0,1.0);
vtkGetMacro(MaximumDistance,double);
// Description:
// 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);
// Description:
// 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);
// Description:
// 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);
// Description:
// 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);
// Description:
// 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);
// Description:
// 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);
// Description:
// 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);
// Description:
// Specify the level of the locator to use when using the per voxel
// process mode.
vtkSetMacro(LocatorMaxLevel,int);
vtkGetMacro(LocatorMaxLevel,int);
// Description:
// Set / Get the number of threads used during Per-Voxel processing mode
vtkSetClampMacro( NumberOfThreads, int, 1, VTK_MAX_THREADS );
vtkGetMacro( NumberOfThreads, int );
// Description:
// 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);};
// Description:
// 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();
// Description:
// 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);
// Description:
// 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&); // Not implemented.
void operator=(const vtkImplicitModeller&); // Not implemented.
};
#endif