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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageMarchingCubes.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 vtkImageMarchingCubes
* @brief generate isosurface(s) from volume/images
*
* vtkImageMarchingCubes is a filter that takes as input images (e.g., 3D
* image region) and generates on output one or more isosurfaces.
* One or more contour values must be specified to generate the isosurfaces.
* Alternatively, you can specify a min/max scalar range and the number of
* contours to generate a series of evenly spaced contour values.
* This filter can stream, so that the entire volume need not be loaded at
* once. Streaming is controlled using the instance variable
* InputMemoryLimit, which has units KBytes.
*
* @warning
* This filter is specialized to volumes. If you are interested in
* contouring other types of data, use the general vtkContourFilter. If you
* want to contour an image (i.e., a volume slice), use vtkMarchingSquares.
* @sa
* vtkContourFilter vtkSliceCubes vtkMarchingSquares vtkSynchronizedTemplates3D
*/
#ifndef vtkImageMarchingCubes_h
#define vtkImageMarchingCubes_h
#include "vtkFiltersGeneralModule.h" // For export macro
#include "vtkPolyDataAlgorithm.h"
#include "vtkContourValues.h" // Needed for direct access to ContourValues
class vtkCellArray;
class vtkFloatArray;
class vtkImageData;
class vtkPoints;
class VTKFILTERSGENERAL_EXPORT vtkImageMarchingCubes : public vtkPolyDataAlgorithm
{
public:
static vtkImageMarchingCubes* New();
vtkTypeMacro(vtkImageMarchingCubes, vtkPolyDataAlgorithm);
void PrintSelf(ostream& os, vtkIndent indent) override;
//@{
/**
* Methods to set contour values
*/
void SetValue(int i, double value);
double GetValue(int i);
double* GetValues();
void GetValues(double* contourValues);
void SetNumberOfContours(int number);
vtkIdType GetNumberOfContours();
void GenerateValues(int numContours, double range[2]);
void GenerateValues(int numContours, double rangeStart, double rangeEnd);
//@}
/**
* Because we delegate to vtkContourValues & refer to vtkImplicitFunction
*/
vtkMTimeType GetMTime() override;
//@{
/**
* Set/Get the computation of scalars.
*/
vtkSetMacro(ComputeScalars, vtkTypeBool);
vtkGetMacro(ComputeScalars, vtkTypeBool);
vtkBooleanMacro(ComputeScalars, vtkTypeBool);
//@}
//@{
/**
* Set/Get the computation of normals. Normal computation is fairly expensive
* in both time and storage. If the output data will be processed by filters
* that modify topology or geometry, it may be wise to turn Normals and Gradients off.
*/
vtkSetMacro(ComputeNormals, vtkTypeBool);
vtkGetMacro(ComputeNormals, vtkTypeBool);
vtkBooleanMacro(ComputeNormals, vtkTypeBool);
//@}
//@{
/**
* Set/Get the computation of gradients. Gradient computation is fairly expensive
* in both time and storage. Note that if ComputeNormals is on, gradients will
* have to be calculated, but will not be stored in the output dataset.
* If the output data will be processed by filters that modify topology or
* geometry, it may be wise to turn Normals and Gradients off.
*/
vtkSetMacro(ComputeGradients, vtkTypeBool);
vtkGetMacro(ComputeGradients, vtkTypeBool);
vtkBooleanMacro(ComputeGradients, vtkTypeBool);
//@}
// Should be protected, but the templated functions need these
vtkTypeBool ComputeScalars;
vtkTypeBool ComputeNormals;
vtkTypeBool ComputeGradients;
int NeedGradients;
vtkCellArray* Triangles;
vtkFloatArray* Scalars;
vtkPoints* Points;
vtkFloatArray* Normals;
vtkFloatArray* Gradients;
vtkIdType GetLocatorPoint(int cellX, int cellY, int edge);
void AddLocatorPoint(int cellX, int cellY, int edge, vtkIdType ptId);
void IncrementLocatorZ();
//@{
/**
* The InputMemoryLimit determines the chunk size (the number of slices
* requested at each iteration). The units of this limit is KiloBytes.
* For now, only the Z axis is split.
*/
vtkSetMacro(InputMemoryLimit, vtkIdType);
vtkGetMacro(InputMemoryLimit, vtkIdType);
//@}
protected:
vtkImageMarchingCubes();
~vtkImageMarchingCubes() override;
int NumberOfSlicesPerChunk;
vtkIdType InputMemoryLimit;
vtkContourValues* ContourValues;
vtkIdType* LocatorPointIds;
int LocatorDimX;
int LocatorDimY;
int LocatorMinX;
int LocatorMinY;
int RequestData(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
int RequestUpdateExtent(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
int FillInputPortInformation(int port, vtkInformation* info) override;
void March(vtkImageData* inData, int chunkMin, int chunkMax, int numContours, double* values);
void InitializeLocator(int min0, int max0, int min1, int max1);
void DeleteLocator();
vtkIdType* GetLocatorPointer(int cellX, int cellY, int edge);
private:
vtkImageMarchingCubes(const vtkImageMarchingCubes&) = delete;
void operator=(const vtkImageMarchingCubes&) = delete;
};
/**
* Set a particular contour value at contour number i. The index i ranges
* between 0<=i<NumberOfContours.
*/
inline void vtkImageMarchingCubes::SetValue(int i, double value)
{
this->ContourValues->SetValue(i, value);
}
/**
* Get the ith contour value.
*/
inline double vtkImageMarchingCubes::GetValue(int i)
{
return this->ContourValues->GetValue(i);
}
/**
* Get a pointer to an array of contour values. There will be
* GetNumberOfContours() values in the list.
*/
inline double* vtkImageMarchingCubes::GetValues()
{
return this->ContourValues->GetValues();
}
/**
* Fill a supplied list with contour values. There will be
* GetNumberOfContours() values in the list. Make sure you allocate
* enough memory to hold the list.
*/
inline void vtkImageMarchingCubes::GetValues(double* contourValues)
{
this->ContourValues->GetValues(contourValues);
}
/**
* Set the number of contours to place into the list. You only really
* need to use this method to reduce list size. The method SetValue()
* will automatically increase list size as needed.
*/
inline void vtkImageMarchingCubes::SetNumberOfContours(int number)
{
this->ContourValues->SetNumberOfContours(number);
}
/**
* Get the number of contours in the list of contour values.
*/
inline vtkIdType vtkImageMarchingCubes::GetNumberOfContours()
{
return this->ContourValues->GetNumberOfContours();
}
/**
* Generate numContours equally spaced contour values between specified
* range. Contour values will include min/max range values.
*/
inline void vtkImageMarchingCubes::GenerateValues(int numContours, double range[2])
{
this->ContourValues->GenerateValues(numContours, range);
}
/**
* Generate numContours equally spaced contour values between specified
* range. Contour values will include min/max range values.
*/
inline void vtkImageMarchingCubes::GenerateValues(
int numContours, double rangeStart, double rangeEnd)
{
this->ContourValues->GenerateValues(numContours, rangeStart, rangeEnd);
}
#endif