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
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
|
/*=========================================================================
Copyright (c) Kitware, Inc.
All rights reserved.
See Copyright.txt or http://www.kitware.com/VolViewCopyright.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.
=========================================================================*/
/* Computes the gradient magnitude after convolving with a Gaussian kernel.
It uses IIR filter for approximating the convolution */
#include "vvITKFilterModule.h"
#include "itkGradientMagnitudeRecursiveGaussianImageFilter.h"
template <class InputPixelType>
class GradientMagnitudeRecursiveGaussianRunner
{
public:
typedef InputPixelType PixelType;
typedef itk::Image< PixelType, 3 > ImageType;
typedef itk::GradientMagnitudeRecursiveGaussianImageFilter<
ImageType,
ImageType > FilterType;
typedef VolView::PlugIn::FilterModule< FilterType > ModuleType;
public:
GradientMagnitudeRecursiveGaussianRunner() {}
void Execute( vtkVVPluginInfo *info, vtkVVProcessDataStruct *pds )
{
const float sigma = atof( info->GetGUIProperty(info, 0, VVP_GUI_VALUE ));
ModuleType module;
module.SetPluginInfo( info );
module.SetUpdateMessage("Computing the gradient magnitude...");
module.GetFilter()->SetSigma( sigma );
module.GetFilter()->SetNormalizeAcrossScale( true );
// Execute the filter
module.ProcessData( pds );
}
};
static int ProcessData(void *inf, vtkVVProcessDataStruct *pds)
{
vtkVVPluginInfo *info = (vtkVVPluginInfo *)inf;
try
{
switch( info->InputVolumeScalarType )
{
case VTK_CHAR:
{
GradientMagnitudeRecursiveGaussianRunner<signed char> runner;
runner.Execute( info, pds );
break;
}
case VTK_UNSIGNED_CHAR:
{
GradientMagnitudeRecursiveGaussianRunner<unsigned char> runner;
runner.Execute( info, pds );
break;
}
case VTK_SHORT:
{
GradientMagnitudeRecursiveGaussianRunner<signed short> runner;
runner.Execute( info, pds );
break;
}
case VTK_UNSIGNED_SHORT:
{
GradientMagnitudeRecursiveGaussianRunner<unsigned short> runner;
runner.Execute( info, pds );
break;
}
case VTK_INT:
{
GradientMagnitudeRecursiveGaussianRunner<signed int> runner;
runner.Execute( info, pds );
break;
}
case VTK_UNSIGNED_INT:
{
GradientMagnitudeRecursiveGaussianRunner<unsigned int> runner;
runner.Execute( info, pds );
break;
}
case VTK_LONG:
{
GradientMagnitudeRecursiveGaussianRunner<signed long> runner;
runner.Execute( info, pds );
break;
}
case VTK_UNSIGNED_LONG:
{
GradientMagnitudeRecursiveGaussianRunner<unsigned long> runner;
runner.Execute( info, pds );
break;
}
case VTK_FLOAT:
{
GradientMagnitudeRecursiveGaussianRunner<float> runner;
runner.Execute( info, pds );
break;
}
case VTK_DOUBLE:
{
GradientMagnitudeRecursiveGaussianRunner<double> runner;
runner.Execute( info, pds );
break;
}
}
}
catch( itk::ExceptionObject & except )
{
info->SetProperty( info, VVP_ERROR, except.what() );
return -1;
}
return 0;
}
static int UpdateGUI(void *inf)
{
vtkVVPluginInfo *info = (vtkVVPluginInfo *)inf;
info->SetGUIProperty(info, 0, VVP_GUI_LABEL, "Sigma");
info->SetGUIProperty(info, 0, VVP_GUI_TYPE, VVP_GUI_SCALE);
info->SetGUIProperty(info, 0, VVP_GUI_DEFAULT, "1,0");
info->SetGUIProperty(info, 0, VVP_GUI_HELP, "Standard deviation of the Gaussian kernel used to smooth the image before computing the gradient");
info->SetGUIProperty(info, 0, VVP_GUI_HINTS , "0 20 0.1");
info->SetProperty(info, VVP_REQUIRED_Z_OVERLAP, "0");
info->OutputVolumeScalarType = info->InputVolumeScalarType;
info->OutputVolumeNumberOfComponents =
info->InputVolumeNumberOfComponents;
memcpy(info->OutputVolumeDimensions,info->InputVolumeDimensions,
3*sizeof(int));
memcpy(info->OutputVolumeSpacing,info->InputVolumeSpacing,
3*sizeof(float));
memcpy(info->OutputVolumeOrigin,info->InputVolumeOrigin,
3*sizeof(float));
return 1;
}
extern "C" {
void VV_PLUGIN_EXPORT vvITKGradientMagnitudeRecursiveGaussianInit(vtkVVPluginInfo *info)
{
vvPluginVersionCheck();
// setup information that never changes
info->ProcessData = ProcessData;
info->UpdateGUI = UpdateGUI;
info->SetProperty(info, VVP_NAME, "Gradient Magnitude IIR (ITK)");
info->SetProperty(info, VVP_GROUP, "Utility");
info->SetProperty(info, VVP_TERSE_DOCUMENTATION,
"Gradient Magnitude Gaussian IIR");
info->SetProperty(info, VVP_FULL_DOCUMENTATION,
"This filter applies IIR filters to compute the equivalent of convolving the input image with the derivatives of a Gaussian kernel and then computing the magnitude of the resulting gradient.");
info->SetProperty(info, VVP_SUPPORTS_IN_PLACE_PROCESSING, "0");
info->SetProperty(info, VVP_SUPPORTS_PROCESSING_PIECES, "0");
info->SetProperty(info, VVP_NUMBER_OF_GUI_ITEMS, "1");
info->SetProperty(info, VVP_REQUIRED_Z_OVERLAP, "0");
info->SetProperty(info, VVP_PER_VOXEL_MEMORY_REQUIRED, "8");
info->SetProperty(info, VVP_REQUIRES_SERIES_INPUT, "0");
info->SetProperty(info, VVP_SUPPORTS_PROCESSING_SERIES_BY_VOLUMES, "0");
info->SetProperty(info, VVP_PRODUCES_OUTPUT_SERIES, "0");
info->SetProperty(info, VVP_PRODUCES_PLOTTING_OUTPUT, "0");
}
}
|
