SimpleITK  
sitkSTAPLEImageFilter.h
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1/*=========================================================================
2*
3* Copyright NumFOCUS
4*
5* Licensed under the Apache License, Version 2.0 (the "License");
6* you may not use this file except in compliance with the License.
7* You may obtain a copy of the License at
8*
9* http://www.apache.org/licenses/LICENSE-2.0.txt
10*
11* Unless required by applicable law or agreed to in writing, software
12* distributed under the License is distributed on an "AS IS" BASIS,
13* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14* See the License for the specific language governing permissions and
15* limitations under the License.
16*
17*=========================================================================*/
18#ifndef sitkSTAPLEImageFilter_h
19#define sitkSTAPLEImageFilter_h
20
21/*
22 * WARNING: DO NOT EDIT THIS FILE!
23 * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
24 * Please look at sitkMultiInputImageFilterTemplate.h.in to make changes.
25 */
26
27#include <memory>
28
29#include "sitkBasicFilters.h"
30#include "sitkImageFilter.h"
31
32namespace itk::simple {
33
77 : public ImageFilter
78 {
79 public:
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94\
95
99 SITK_RETURN_SELF_TYPE_HEADER SetConfidenceWeight ( double ConfidenceWeight ) { this->m_ConfidenceWeight = ConfidenceWeight; return *this; }
100
104 double GetConfidenceWeight() const { return this->m_ConfidenceWeight; }\
105
109 SITK_RETURN_SELF_TYPE_HEADER SetForegroundValue ( double ForegroundValue ) { this->m_ForegroundValue = ForegroundValue; return *this; }
110
114 double GetForegroundValue() const { return this->m_ForegroundValue; }\
115
119 SITK_RETURN_SELF_TYPE_HEADER SetMaximumIterations ( unsigned int MaximumIterations ) { this->m_MaximumIterations = MaximumIterations; return *this; }
120
124 unsigned int GetMaximumIterations() const { return this->m_MaximumIterations; }
131 uint32_t GetElapsedIterations() const { return this->m_ElapsedIterations; };
132
139 std::vector<double> GetSensitivity() const { return this->m_Sensitivity; };
140
147 std::vector<double> GetSpecificity () const { return this->m_Specificity ; };
148
149
151 std::string GetName() const { return std::string ("STAPLEImageFilter"); }
152
154 std::string ToString() const;
155
157 Image Execute ( const std::vector<Image> &images);
158 Image Execute ( const Image& image1 );
159 Image Execute ( const Image& image1, const Image& image2 );
160 Image Execute ( const Image& image1, const Image& image2, const Image& image3 );
161 Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4 );
162 Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, const Image& image5 );
163
164
165
166
167 private:
168
170
171 using MemberFunctionType = Image (Self::*)( const std::vector<Image> & );
172 template <class TImageType> Image ExecuteInternal ( const std::vector<Image> &images );
173
174
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177
178 std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
179
180
182
183 double m_ForegroundValue{1.0};
184
185 unsigned int m_MaximumIterations{std::numeric_limits<unsigned int>::max()};
186
187
189
190 std::vector<double> m_Sensitivity{std::vector<double>()};
191
192 std::vector<double> m_Specificity {std::vector<double>()};
193
194
195 };
196
197
207 SITKBasicFilters_EXPORT Image STAPLE ( const std::vector<Image> &images , double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
208
209 SITKBasicFilters_EXPORT Image STAPLE ( const Image& image1, double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
210 SITKBasicFilters_EXPORT Image STAPLE ( const Image& image1, const Image& image2, double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
211 SITKBasicFilters_EXPORT Image STAPLE ( const Image& image1, const Image& image2, const Image& image3, double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
212 SITKBasicFilters_EXPORT Image STAPLE ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
213 SITKBasicFilters_EXPORT Image STAPLE ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, const Image& image5, double confidenceWeight = 1.0, double foregroundValue = 1.0, unsigned int maximumIterations = std::numeric_limits<unsigned int>::max() );
214
216
217}
218#endif
The Image class for SimpleITK.
Definition sitkImage.h:77
Self & SetForegroundValue(double ForegroundValue)
Self & SetMaximumIterations(unsigned int MaximumIterations)
Image Execute(const Image &image1, const Image &image2, const Image &image3, const Image &image4)
Image Execute(const std::vector< Image > &images)
Image(Self::*)(const std::vector< Image > &) MemberFunctionType
Image ExecuteInternal(const std::vector< Image > &images)
Image Execute(const Image &image1, const Image &image2, const Image &image3)
std::string ToString() const
std::vector< double > GetSensitivity() const
Self & SetConfidenceWeight(double ConfidenceWeight)
Image Execute(const Image &image1, const Image &image2)
std::vector< double > GetSpecificity() const
After the filter is updated, this method returns the Specificity (true negative fraction,...
Image Execute(const Image &image1)
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
IntegerPixelIDTypeList PixelIDTypeList
Image Execute(const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5)
Image STAPLE(const std::vector< Image > &images, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for ge...
typelist2::typelist< BasicPixelID< int8_t >, BasicPixelID< uint8_t >, BasicPixelID< int16_t >, BasicPixelID< uint16_t >, BasicPixelID< int32_t >, BasicPixelID< uint32_t > > IntegerPixelIDTypeList
*par Constraints *The filter image with at least two dimensions and a vector *length of at least The theory supports extension to scalar images
#define SITKBasicFilters_EXPORT