SimpleITK  
sitkDiscreteGaussianImageFilter.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 sitkDiscreteGaussianImageFilter_h
19#define sitkDiscreteGaussianImageFilter_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
60 public:
62
65
69
72\
73
76 SITK_RETURN_SELF_TYPE_HEADER SetVariance ( std::vector<double> Variance ) { this->m_Variance = std::move(Variance); return *this; }
77
79 SITK_RETURN_SELF_TYPE_HEADER SetVariance( double value ) { this->m_Variance = std::vector<double>(3, value); return *this; }
80
84 std::vector<double> GetVariance() const { return this->m_Variance; }\
85
89 SITK_RETURN_SELF_TYPE_HEADER SetMaximumKernelWidth ( unsigned int MaximumKernelWidth ) { this->m_MaximumKernelWidth = MaximumKernelWidth; return *this; }
90
94 unsigned int GetMaximumKernelWidth() const { return this->m_MaximumKernelWidth; }\
95
98 SITK_RETURN_SELF_TYPE_HEADER SetMaximumError ( std::vector<double> MaximumError ) { this->m_MaximumError = std::move(MaximumError); return *this; }
99
101 SITK_RETURN_SELF_TYPE_HEADER SetMaximumError( double value ) { this->m_MaximumError = std::vector<double>(3, value); return *this; }
102
106 std::vector<double> GetMaximumError() const { return this->m_MaximumError; }\
107
111 SITK_RETURN_SELF_TYPE_HEADER SetUseImageSpacing ( bool UseImageSpacing ) { this->m_UseImageSpacing = UseImageSpacing; return *this; }
112
114 SITK_RETURN_SELF_TYPE_HEADER UseImageSpacingOn() { return this->SetUseImageSpacing(true); }
115 SITK_RETURN_SELF_TYPE_HEADER UseImageSpacingOff() { return this->SetUseImageSpacing(false); }
116
120 bool GetUseImageSpacing() const { return this->m_UseImageSpacing; }
121
123 std::string GetName() const { return std::string ("DiscreteGaussianImageFilter"); }
124
126 std::string ToString() const;
127
128
130
131 Image Execute ( const Image& image1 );
132
133 private:
134
136
137 using MemberFunctionType = Image (Self::*)( const Image& image1 );
138 template <class TImageType> Image ExecuteInternal ( const Image& image1 );
139
140
142
143 std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
144
145
146 std::vector<double> m_Variance{std::vector<double>(3,1.0)};
147
148 unsigned int m_MaximumKernelWidth{32u};
149
150 std::vector<double> m_MaximumError{std::vector<double>(3, 0.01)};
151
153
154
155 };
156
166
167 SITKBasicFilters_EXPORT Image DiscreteGaussian ( const Image& image1, std::vector<double> variance = std::vector<double>(3,1.0), unsigned int maximumKernelWidth = 32u, std::vector<double> maximumError = std::vector<double>(3, 0.01), bool useImageSpacing = true );
168
170}
171#endif
Image ExecuteInternal(const Image &image1)
Image(Self::*)(const Image &image1) MemberFunctionType
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
Self & SetMaximumKernelWidth(unsigned int MaximumKernelWidth)
Image Execute(const Image &image1)
Self & SetMaximumError(std::vector< double > MaximumError)
Self & SetVariance(std::vector< double > Variance)
The Image class for SimpleITK.
Definition sitkImage.h:77
SITKBasicFilters_EXPORT Image DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true)
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian...
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
#define SITKBasicFilters_EXPORT