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/*=========================================================================
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) override;
/**
* 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 = nullptr);
//@{
/**
* 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, vtkTypeBool);
vtkGetMacro(AdjustBounds, vtkTypeBool);
vtkBooleanMacro(AdjustBounds, vtkTypeBool);
//@}
//@{
/**
* 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, vtkTypeBool);
vtkGetMacro(Capping, vtkTypeBool);
vtkBooleanMacro(Capping, vtkTypeBool);
//@}
//@{
/**
* 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 specified maximum distance)... assuming the
* CapValue is not changed from 255.
*/
vtkSetMacro(ScaleToMaximumDistance, vtkTypeBool);
vtkGetMacro(ScaleToMaximumDistance, vtkTypeBool);
vtkBooleanMacro(ScaleToMaximumDistance, vtkTypeBool);
//@}
//@{
/**
* 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 description of what these do
vtkTypeBool ProcessRequest(
vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
protected:
vtkImplicitModeller();
~vtkImplicitModeller() override;
double GetScalarTypeMax(int type);
int RequestInformation(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
int RequestData(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
void StartAppend(int internal);
void Cap(vtkDataArray* s);
vtkMultiThreader* Threader;
int NumberOfThreads;
int SampleDimensions[3];
double MaximumDistance;
double ModelBounds[6];
vtkTypeBool Capping;
double CapValue;
int DataAppended;
vtkTypeBool AdjustBounds;
double AdjustDistance;
int ProcessMode;
int LocatorMaxLevel;
int OutputScalarType;
vtkTypeBool ScaleToMaximumDistance;
// flag to limit to one ComputeModelBounds per StartAppend
int BoundsComputed;
// the max distance computed during that one call
double InternalMaxDistance;
int FillInputPortInformation(int, vtkInformation*) override;
private:
vtkImplicitModeller(const vtkImplicitModeller&) = delete;
void operator=(const vtkImplicitModeller&) = delete;
};
#endif