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
|
/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbStreamingResampleImageFilter_txx
#define otbStreamingResampleImageFilter_txx
#include "otbStreamingResampleImageFilter.h"
#include "itkProgressAccumulator.h"
namespace otb
{
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::StreamingResampleImageFilter()
{
// internal filters instantiation
m_DisplacementFilter = DisplacementFieldGeneratorType::New();
m_WarpFilter = WarpImageFilterType::New();
// Initialize the displacement field spacing to zero : inconsistent
// value
this->SetDisplacementFieldSpacing(itk::NumericTraits<SpacingType>::ZeroValue());
// Wire minipipeline
m_WarpFilter->SetDisplacementField(m_DisplacementFilter->GetOutput());
}
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
void
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::GenerateData()
{
// Set up progress reporting
typename itk::ProgressAccumulator::Pointer progress = itk::ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
progress->RegisterInternalFilter(m_WarpFilter, 1.f);
m_WarpFilter->GraftOutput(this->GetOutput());
m_WarpFilter->UpdateOutputData(m_WarpFilter->GetOutput());
this->GraftOutput(m_WarpFilter->GetOutput());
}
/**
*
*/
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
void
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::GenerateOutputInformation()
{
// check the output spacing of the displacement field
if(this->GetDisplacementFieldSpacing()== itk::NumericTraits<SpacingType>::ZeroValue())
{
this->SetDisplacementFieldSpacing(2.*this->GetOutputSpacing());
}
// Retrieve output largest region
SizeType largestSize = this->GetOutputSize();
// Set up displacement field filter
SizeType displacementFieldLargestSize;
for(unsigned int dim = 0; dim < InputImageType::ImageDimension; ++dim)
{
// vcl_ceil to avoid numerical problems due to division of
// spacings
// + 1 : We need to enlarge the displacement field size cause
// itk::WarpImageFilter::EvaluateDisplacementAtPhysicalPoint needs
// 4 neighbors and in the edges we can need 1 neighbor pixel
// outside the field
displacementFieldLargestSize[dim] = static_cast<unsigned int>(
vcl_ceil( largestSize[dim]*
vcl_abs(this->GetOutputSpacing()[dim] /
this->GetDisplacementFieldSpacing()[dim]))) + 1;
}
m_DisplacementFilter->SetOutputSize(displacementFieldLargestSize);
m_DisplacementFilter->SetOutputIndex(this->GetOutputStartIndex());
m_WarpFilter->SetInput(this->GetInput());
m_WarpFilter->GraftOutput(this->GetOutput());
m_WarpFilter->UpdateOutputInformation();
this->GraftOutput(m_WarpFilter->GetOutput());
}
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
void
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::PropagateRequestedRegion(itk::DataObject *output)
{
if (this->m_Updating) return;
m_WarpFilter->GetOutput()->SetRequestedRegion(output);
m_WarpFilter->GetOutput()->PropagateRequestedRegion();
}
/**
* Method used to copy the parameters of the input image
*
*/
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
void
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::SetOutputParametersFromImage(const ImageBaseType * image)
{
this->SetOutputOrigin ( image->GetOrigin() );
this->SetOutputSpacing ( image->GetSpacing() );
this->SetOutputStartIndex ( image->GetLargestPossibleRegion().GetIndex() );
this->SetOutputSize ( image->GetLargestPossibleRegion().GetSize() );
}
template <class TInputImage, class TOutputImage, class TInterpolatorPrecisionType>
void
StreamingResampleImageFilter<TInputImage, TOutputImage, TInterpolatorPrecisionType>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "OutputOrigin: " << this->GetOutputOrigin() << std::endl;
os << indent << "OutputSpacing: " << this->GetOutputSpacing() << std::endl;
os << indent << "OutputStartIndex: " << this->GetOutputStartIndex() << std::endl;
os << indent << "OutputSize: " << this->GetOutputSize() << std::endl;
}
}
#endif
|
