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
|
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* 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 itkTikhonovDeconvolutionImageFilter_hxx
#define itkTikhonovDeconvolutionImageFilter_hxx
#include "itkTikhonovDeconvolutionImageFilter.h"
#include "itkBinaryFunctorImageFilter.h"
namespace itk
{
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::TikhonovDeconvolutionImageFilter()
{
m_RegularizationConstant = 0.0;
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
void
TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::GenerateData()
{
// Create a process accumulator for tracking the progress of this
// minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter( this );
typename InputImageType::Pointer localInput = InputImageType::New();
localInput->Graft( this->GetInput() );
const KernelImageType* kernelImage = this->GetKernelImage();
InternalComplexImagePointerType input = ITK_NULLPTR;
InternalComplexImagePointerType kernel = ITK_NULLPTR;
this->PrepareInputs( localInput, kernelImage, input, kernel, progress, 0.7 );
typedef Functor::TikhonovDeconvolutionFunctor< InternalComplexType,
InternalComplexType,
InternalComplexType> FunctorType;
typedef BinaryFunctorImageFilter< InternalComplexImageType,
InternalComplexImageType,
InternalComplexImageType, FunctorType > TikhonovFilterType;
typename TikhonovFilterType::Pointer tikhonovFilter = TikhonovFilterType::New();
tikhonovFilter->SetInput1( input );
tikhonovFilter->SetInput2( kernel );
tikhonovFilter->ReleaseDataFlagOn();
typename TikhonovFilterType::FunctorType & tikhonovFunctor = tikhonovFilter->GetFunctor();
tikhonovFunctor.SetRegularizationConstant( this->GetRegularizationConstant() );
tikhonovFunctor.SetKernelZeroMagnitudeThreshold( this->GetKernelZeroMagnitudeThreshold() );
progress->RegisterInternalFilter( tikhonovFilter, 0.1 );
// Free up the memory for the prepared inputs
input = ITK_NULLPTR;
kernel = ITK_NULLPTR;
this->ProduceOutput( tikhonovFilter->GetOutput(), progress, 0.2 );
}
template< typename TInputImage, typename TOutputImage, typename TKernelImage, typename TInternalPrecision >
void
TikhonovDeconvolutionImageFilter< TInputImage, TOutputImage, TKernelImage, TInternalPrecision >
::PrintSelf(std::ostream &os, Indent indent) const
{
this->Superclass::PrintSelf( os, indent );
os << indent << "RegularizationConstant: " << m_RegularizationConstant << std::endl;
}
} // end namespace itk
#endif
|
