-
Notifications
You must be signed in to change notification settings - Fork 59
Expand file tree
/
Copy pathtubeEnhanceTubesUsingDiscriminantAnalysis.h
More file actions
200 lines (145 loc) · 6.21 KB
/
Copy pathtubeEnhanceTubesUsingDiscriminantAnalysis.h
File metadata and controls
200 lines (145 loc) · 6.21 KB
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
187
188
189
190
191
192
193
194
195
196
197
198
199
200
/*=========================================================================
Library: TubeTK
Copyright Kitware Inc.
All rights reserved.
Licensed under the Apache License, Version 2.0 ( the "License" );
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
=========================================================================*/
#ifndef tubeEnhanceTubesUsingDiscriminantAnalysis_h
#define tubeEnhanceTubesUsingDiscriminantAnalysis_h
// ITK Includes
#include "itkProcessObject.h"
// TubeTK Includes
#include "tubeWrappingMacros.h"
#include "itktubeRidgeSeedFilter.h"
#include "itktubeRidgeSeedFilterIO.h"
namespace tube
{
/** \class SegmentTubes
*
* \ingroup TubeTK
*/
template <class TImage, class TLabelMap = itk::Image<unsigned short, TImage::ImageDimension>>
class EnhanceTubesUsingDiscriminantAnalysis : public itk::ProcessObject
{
public:
/** Standard class type alias. */
using Self = EnhanceTubesUsingDiscriminantAnalysis;
using Superclass = itk::ProcessObject;
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
using ImageType = TImage;
using PixelType = typename ImageType::PixelType;
using IndexType = typename ImageType::IndexType;
using LabelMapType = TLabelMap;
using FilterType = itk::tube::RidgeSeedFilter<ImageType, LabelMapType>;
using FilterIOType = itk::tube::RidgeSeedFilterIO<ImageType, LabelMapType>;
using OutputImageType = typename FilterType::ProbabilityImageType;
using ObjectIdType = typename FilterType::ObjectIdType;
using RidgeScalesType = typename FilterType::RidgeScalesType;
using WhitenMeansType = typename FilterType::WhitenMeansType;
using WhitenStdDevsType = typename FilterType::WhitenStdDevsType;
using VectorType = typename FilterType::VectorType;
using MatrixType = typename FilterType::MatrixType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information ( and related methods ). */
itkOverrideGetNameOfClassMacro(EnhanceTubesUsingDiscriminantAnalysis);
/***/
/***/
/***/
/** Set the source image. */
tubeWrapSetConstObjectMacro(Input, ImageType, Filter);
tubeWrapAddConstObjectMacro(Input, ImageType, Filter);
tubeWrapGetNthConstObjectMacro(Input, ImageType, Filter);
/** Set the labelmap image. Is the output image after computations. */
tubeWrapSetObjectMacro(LabelMap, LabelMapType, Filter);
tubeWrapGetObjectMacro(LabelMap, LabelMapType, Filter);
/***/
/***/
/***/
tubeWrapSetMacro(RidgeId, ObjectIdType, Filter);
tubeWrapGetMacro(RidgeId, ObjectIdType, Filter);
tubeWrapSetMacro(BackgroundId, ObjectIdType, Filter);
tubeWrapGetMacro(BackgroundId, ObjectIdType, Filter);
tubeWrapSetMacro(UnknownId, ObjectIdType, Filter);
tubeWrapGetMacro(UnknownId, ObjectIdType, Filter);
tubeWrapSetMacro(IgnoreId, ObjectIdType, Filter);
tubeWrapGetMacro(IgnoreId, ObjectIdType, Filter);
tubeWrapSetMacro(Scales, RidgeScalesType, Filter);
tubeWrapGetMacro(Scales, RidgeScalesType, Filter);
tubeWrapSetMacro(InputWhitenMeans, WhitenMeansType, Filter);
tubeWrapGetMacro(InputWhitenMeans, WhitenMeansType, Filter);
tubeWrapSetMacro(InputWhitenStdDevs, WhitenStdDevsType, Filter);
tubeWrapGetMacro(InputWhitenStdDevs, WhitenStdDevsType, Filter);
tubeWrapSetMacro(OutputWhitenMeans, WhitenMeansType, Filter);
tubeWrapGetMacro(OutputWhitenMeans, WhitenMeansType, Filter);
tubeWrapSetMacro(OutputWhitenStdDevs, WhitenStdDevsType, Filter);
tubeWrapGetMacro(OutputWhitenStdDevs, WhitenStdDevsType, Filter);
tubeWrapGetMacro(NumberOfBasis, unsigned int, Filter);
tubeWrapGetNthMacro(BasisValue, double, Filter);
tubeWrapSetNthMacro(BasisValue, double, Filter);
tubeWrapGetNthMacro(BasisVector, VectorType, Filter);
tubeWrapSetNthMacro(BasisVector, VectorType, Filter);
tubeWrapGetMacro(BasisMatrix, MatrixType, Filter);
tubeWrapSetMacro(BasisMatrix, MatrixType, Filter);
tubeWrapGetMacro(BasisValues, VectorType, Filter);
tubeWrapSetMacro(BasisValues, VectorType, Filter);
tubeWrapGetNthObjectMacro(ClassProbabilityImage, OutputImageType, Filter);
tubeWrapGetNthObjectMacro(ClassLikelihoodRatioImage, OutputImageType, Filter);
/** Load parameters of tube extraction from a file */
void
LoadParameterFile(const std::string & filename)
{
FilterIOType teReader(m_Filter);
teReader.Read(filename.c_str());
};
void
SaveParameterFile(const std::string & filename)
{
FilterIOType teWriter(m_Filter);
teWriter.Write(filename.c_str());
};
/***/
/***/
/***/
tubeWrapSetMacro(SeedTolerance, double, Filter);
tubeWrapGetMacro(SeedTolerance, double, Filter);
tubeWrapSetMacro(Skeletonize, bool, Filter);
tubeWrapGetMacro(Skeletonize, bool, Filter);
tubeWrapSetMacro(UseIntensityOnly, bool, Filter);
tubeWrapGetMacro(UseIntensityOnly, bool, Filter);
tubeWrapSetMacro(UseFeatureMath, bool, Filter);
tubeWrapGetMacro(UseFeatureMath, bool, Filter);
tubeWrapSetMacro(TrainClassifier, bool, Filter);
tubeWrapGetMacro(TrainClassifier, bool, Filter);
tubeWrapUpdateMacro(Filter);
tubeWrapCallMacro(ClassifyImages, Filter);
tubeWrapGetObjectMacro(Output, LabelMapType, Filter);
tubeWrapGetObjectMacro(OutputSeedScales, OutputImageType, Filter);
protected:
EnhanceTubesUsingDiscriminantAnalysis(void);
~EnhanceTubesUsingDiscriminantAnalysis() {};
void
PrintSelf(std::ostream & os, itk::Indent indent) const override;
private:
EnhanceTubesUsingDiscriminantAnalysis(const Self &);
void
operator=(const Self &);
// To remove warning "was hidden [-Woverloaded-virtual]"
void
SetInput(const DataObjectIdentifierType &, itk::DataObject *) override {};
typename FilterType::Pointer m_Filter;
};
} // End namespace tube
#ifndef ITK_MANUAL_INSTANTIATION
# include "tubeEnhanceTubesUsingDiscriminantAnalysis.hxx"
#endif
#endif // End !defined( __EnhanceTubesUsingDiscriminantAnalysis_h )