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SimpleITK  2.5.0.dev
sitkFastMarchingImageFilter.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 sitkFastMarchingImageFilter_h
19#define sitkFastMarchingImageFilter_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 sitkImageFilterTemplate.h.in to make changes.
25 */
26
27#include <memory>
28
29#include "sitkBasicFilters.h"
30#include "sitkImageFilter.h"
31
32namespace itk::simple {
33
69 public:
71
74
78
81\
82
86 SITK_RETURN_SELF_TYPE_HEADER SetTrialPoints ( std::vector< std::vector<unsigned int> > TrialPoints ) { this->m_TrialPoints = std::move(TrialPoints); return *this; }
87
91 std::vector< std::vector< unsigned int > > GetTrialPoints() const { return this->m_TrialPoints; }
93 SITK_RETURN_SELF_TYPE_HEADER AddTrialPoint( std::vector< unsigned int > point ) { this->m_TrialPoints.push_back(std::move(point)); return *this;}
95 SITK_RETURN_SELF_TYPE_HEADER ClearTrialPoints( ) { this->m_TrialPoints.clear(); return *this;}
96\
97
101 SITK_RETURN_SELF_TYPE_HEADER SetNormalizationFactor ( double NormalizationFactor ) { this->m_NormalizationFactor = NormalizationFactor; return *this; }
102
106 double GetNormalizationFactor() const { return this->m_NormalizationFactor; }\
107
111 SITK_RETURN_SELF_TYPE_HEADER SetStoppingValue ( double StoppingValue ) { this->m_StoppingValue = StoppingValue; return *this; }
112
116 double GetStoppingValue() const { return this->m_StoppingValue; }\
117
121 SITK_RETURN_SELF_TYPE_HEADER SetInitialTrialValues ( std::vector<double> InitialTrialValues ) { this->m_InitialTrialValues = InitialTrialValues; return *this; }
122
125 std::vector<double> GetInitialTrialValues() const { return this->m_InitialTrialValues; }
126
128 std::string GetName() const { return std::string ("FastMarchingImageFilter"); }
129
131 std::string ToString() const;
132
133
135
136 Image Execute ( const Image& image1 );
137
138 private:
139
141
142 using MemberFunctionType = Image (Self::*)( const Image& image1 );
143 template <class TImageType> Image ExecuteInternal ( const Image& image1 );
144
145
147
148 std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
149
150
151 std::vector< std::vector<unsigned int> > m_TrialPoints{std::vector< std::vector<unsigned int > >()};
152
154
155 double m_StoppingValue{std::numeric_limits<double>::max()/2.0};
156
157 std::vector<double> m_InitialTrialValues{std::vector<double>()};
158
159
160 };
161
171
172 SITKBasicFilters_EXPORT Image FastMarching ( const Image& image1, std::vector< std::vector<unsigned int> > trialPoints = std::vector< std::vector<unsigned int > >(), double normalizationFactor = 1.0, double stoppingValue = std::numeric_limits<double>::max()/2.0, std::vector<double> initialTrialValues = std::vector<double>() );
173
175}
176#endif
Self & SetInitialTrialValues(std::vector< double > InitialTrialValues)
Set the initial seed values for corresponding trial points.
std::vector< std::vector< unsigned int > > m_TrialPoints
std::vector< double > GetInitialTrialValues() const
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
std::vector< std::vector< unsigned int > > GetTrialPoints() const
Self & SetTrialPoints(std::vector< std::vector< unsigned int > > TrialPoints)
Self & ClearTrialPoints()
Remove all TrialPoints points.
Image(Self::*)(const Image &image1) MemberFunctionType
Self & SetNormalizationFactor(double NormalizationFactor)
Self & AddTrialPoint(std::vector< unsigned int > point)
Add TrialPoints point.
Image Execute(const Image &image1)
Image ExecuteInternal(const Image &image1)
The Image class for SimpleITK.
Definition sitkImage.h:77
Image FastMarching(const Image &image1, std::vector< std::vector< unsigned int > > trialPoints=std::vector< std::vector< unsigned int > >(), double normalizationFactor=1.0, double stoppingValue=std::numeric_limits< double >::max()/2.0, std::vector< double > initialTrialValues=std::vector< double >())
Solve an Eikonal equation using Fast Marching.
typelist2::typelist< BasicPixelID< int8_t >, BasicPixelID< uint8_t >, BasicPixelID< int16_t >, BasicPixelID< uint16_t >, BasicPixelID< int32_t >, BasicPixelID< uint32_t >, BasicPixelID< float >, BasicPixelID< double > > BasicPixelIDTypeList
*par Constraints *The filter image with at least two dimensions and a vector *length of at least The theory supports extension to scalar but *the implementation of the itk vector classes do not **The template parameter TRealType must be floating point(float or double) or *a user-defined "real" numerical type with arithmetic operations defined *sufficient to compute derivatives. **\par Performance *This filter will automatically multithread if run with *SetUsePrincipleComponents
#define SITKBasicFilters_EXPORT