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94 lines
3.4 KiB
94 lines
3.4 KiB
/*=========================================================================
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Program: Visualization Toolkit
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Module: $RCSfile: vtkVoxelModeller.h,v $
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Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
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All rights reserved.
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See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
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This software is distributed WITHOUT ANY WARRANTY; without even
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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PURPOSE. See the above copyright notice for more information.
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=========================================================================*/
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// .NAME vtkVoxelModeller - convert an arbitrary dataset to a voxel representation
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// .SECTION Description
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// vtkVoxelModeller is a filter that converts an arbitrary data set to a
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// structured point (i.e., voxel) representation. It is very similar to
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// vtkImplicitModeller, except that it doesn't record distance; instead it
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// records occupancy. As such, it stores its results in the more compact
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// form of 0/1 bits.
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// .SECTION see also
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// vtkImplicitModeller
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#ifndef __vtkVoxelModeller_h
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#define __vtkVoxelModeller_h
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#include "vtkImageAlgorithm.h"
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class VTK_IMAGING_EXPORT vtkVoxelModeller : public vtkImageAlgorithm
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{
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public:
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vtkTypeRevisionMacro(vtkVoxelModeller,vtkImageAlgorithm);
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void PrintSelf(ostream& os, vtkIndent indent);
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// Description:
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// Construct an instance of vtkVoxelModeller with its sample dimensions
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// set to (50,50,50), and so that the model bounds are
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// automatically computed from its input. The maximum distance is set to
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// examine the whole grid. This could be made much faster, and probably
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// will be in the future.
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static vtkVoxelModeller *New();
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// Description:
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// Compute the ModelBounds based on the input geometry.
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double ComputeModelBounds(double origin[3], double ar[3]);
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// Description:
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// Set the i-j-k dimensions on which to sample the distance function.
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void SetSampleDimensions(int i, int j, int k);
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// Description:
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// Set the i-j-k dimensions on which to sample the distance function.
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void SetSampleDimensions(int dim[3]);
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vtkGetVectorMacro(SampleDimensions,int,3);
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// Description:
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// Specify distance away from surface of input geometry to sample. Smaller
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// values make large increases in performance.
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vtkSetClampMacro(MaximumDistance,double,0.0,1.0);
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vtkGetMacro(MaximumDistance,double);
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// Description:
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// Specify the position in space to perform the voxelization.
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void SetModelBounds(double bounds[6]);
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void SetModelBounds(double xmin, double xmax, double ymin, double ymax, double zmin, double zmax);
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vtkGetVectorMacro(ModelBounds,double,6);
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protected:
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vtkVoxelModeller();
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~vtkVoxelModeller() {};
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virtual int RequestInformation (vtkInformation *,
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vtkInformationVector **,
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vtkInformationVector *);
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// see vtkAlgorithm for details
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virtual int RequestData(vtkInformation *request,
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vtkInformationVector** inputVector,
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vtkInformationVector* outputVector);
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// see algorithm for more info
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virtual int FillInputPortInformation(int port, vtkInformation* info);
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int SampleDimensions[3];
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double MaximumDistance;
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double ModelBounds[6];
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private:
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vtkVoxelModeller(const vtkVoxelModeller&); // Not implemented.
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void operator=(const vtkVoxelModeller&); // Not implemented.
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};
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#endif
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