1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
|
/*=========================================================================
Program: Visualization Toolkit
Module: $RCSfile: vtkVoxelModeller.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 vtkVoxelModeller - convert an arbitrary dataset to a voxel representation
// .SECTION Description
// vtkVoxelModeller is a filter that converts an arbitrary data set to a
// structured point (i.e., voxel) representation. It is very similar to
// vtkImplicitModeller, except that it doesn't record distance; instead it
// records occupancy. As such, it stores its results in the more compact
// form of 0/1 bits.
// .SECTION see also
// vtkImplicitModeller
#ifndef __vtkVoxelModeller_h
#define __vtkVoxelModeller_h
#include "vtkImageAlgorithm.h"
class VTK_IMAGING_EXPORT vtkVoxelModeller : public vtkImageAlgorithm
{
public:
vtkTypeRevisionMacro(vtkVoxelModeller,vtkImageAlgorithm);
void PrintSelf(ostream& os, vtkIndent indent);
// Description:
// Construct an instance of vtkVoxelModeller with its sample dimensions
// set to (50,50,50), and so that the model bounds are
// automatically computed from its input. The maximum distance is set to
// examine the whole grid. This could be made much faster, and probably
// will be in the future.
static vtkVoxelModeller *New();
// Description:
// Compute the ModelBounds based on the input geometry.
double ComputeModelBounds(double origin[3], double ar[3]);
// Description:
// Set the i-j-k dimensions on which to sample the distance function.
void SetSampleDimensions(int i, int j, int k);
// Description:
// Set the i-j-k dimensions on which to sample the distance function.
void SetSampleDimensions(int dim[3]);
vtkGetVectorMacro(SampleDimensions,int,3);
// Description:
// Specify 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:
// Specify the position in space to perform the voxelization.
void SetModelBounds(double bounds[6]);
void SetModelBounds(double xmin, double xmax, double ymin, double ymax, double zmin, double zmax);
vtkGetVectorMacro(ModelBounds,double,6);
protected:
vtkVoxelModeller();
~vtkVoxelModeller() {};
virtual int RequestInformation (vtkInformation *,
vtkInformationVector **,
vtkInformationVector *);
// see vtkAlgorithm for details
virtual int RequestData(vtkInformation *request,
vtkInformationVector** inputVector,
vtkInformationVector* outputVector);
// see algorithm for more info
virtual int FillInputPortInformation(int port, vtkInformation* info);
int SampleDimensions[3];
double MaximumDistance;
double ModelBounds[6];
private:
vtkVoxelModeller(const vtkVoxelModeller&); // Not implemented.
void operator=(const vtkVoxelModeller&); // Not implemented.
};
#endif
|
