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
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkLabelMapToBinaryImageFilter.txx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm 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 __itkLabelMapToBinaryImageFilter_txx
#define __itkLabelMapToBinaryImageFilter_txx
#include "itkLabelMapToBinaryImageFilter.h"
#include "itkNumericTraits.h"
#include "itkProgressReporter.h"
#include "itkImageRegionConstIterator.h"
#include "itkImageRegionIterator.h"
namespace itk {
template <class TInputImage, class TOutputImage>
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::LabelMapToBinaryImageFilter()
{
this->m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
this->m_ForegroundValue = NumericTraits<OutputImagePixelType>::max();
}
template <class TInputImage, class TOutputImage>
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
if( input )
{
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
}
template <class TInputImage, class TOutputImage>
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::BeforeThreadedGenerateData()
{
unsigned long numberOfThreads = this->GetNumberOfThreads();
if( itk::MultiThreader::GetGlobalMaximumNumberOfThreads() != 0 )
{
numberOfThreads = vnl_math_min(
this->GetNumberOfThreads(), itk::MultiThreader::GetGlobalMaximumNumberOfThreads() );
}
// number of threads can be constrained by the region size, so call the
// SplitRequestedRegion to get the real number of threads which will be used
typename TOutputImage::RegionType splitRegion; // dummy region - just to call the following method
numberOfThreads = this->SplitRequestedRegion(0, numberOfThreads, splitRegion);
m_Barrier = Barrier::New();
m_Barrier->Initialize( numberOfThreads );
this->Superclass::BeforeThreadedGenerateData();
}
template<class TInputImage, class TOutputImage>
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::ThreadedGenerateData( const OutputImageRegionType& outputRegionForThread, int threadId )
{
OutputImageType * output = this->GetOutput();
// fill the output with background value - they will be overridden with the
// foreground value later, if there is some objects
if( this->GetNumberOfInputs() == 2 )
{
// fill the background with the background values from the background image
ImageRegionConstIterator< OutputImageType > bgIt( this->GetBackgroundImage(), outputRegionForThread );
ImageRegionIterator< OutputImageType > oIt( output, outputRegionForThread );
bgIt.GoToBegin();
oIt.GoToBegin();
while( !oIt.IsAtEnd() )
{
const OutputImagePixelType & bg = bgIt.Get();
if( bg != this->m_ForegroundValue )
{
oIt.Set( bg );
}
else
{
oIt.Set( this->m_BackgroundValue );
}
++oIt;
++bgIt;
}
}
else
{
// fill the background with the background value
ImageRegionIterator< OutputImageType > oIt( output, outputRegionForThread );
oIt.GoToBegin();
while( !oIt.IsAtEnd() )
{
oIt.Set( this->m_BackgroundValue );
++oIt;
}
}
// wait for the other threads to complete that part
this->m_Barrier->Wait();
// and delegate to the superclass implementation to use the thread support for the label objects
this->Superclass::ThreadedGenerateData( outputRegionForThread, threadId );
}
template<class TInputImage, class TOutputImage>
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::ThreadedProcessLabelObject( LabelObjectType * labelObject )
{
OutputImageType * output = this->GetOutput();
typedef typename LabelObjectType::LineContainerType LineContainerType;
typename LineContainerType::const_iterator lit;
LineContainerType & lineContainer = labelObject->GetLineContainer();
for( lit = lineContainer.begin(); lit != lineContainer.end(); lit++ )
{
IndexType idx = lit->GetIndex();
unsigned long length = lit->GetLength();
for( unsigned int i=0; i<length; i++)
{
output->SetPixel( idx, this->m_ForegroundValue );
idx[0]++;
}
}
}
template< class TInputImage, class TOutputImage >
void
LabelMapToBinaryImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
this->Superclass::PrintSelf(os,indent);
os << indent << "ForegroundValue: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(this->m_ForegroundValue) << std::endl;
os << indent << "BackgroundValue: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(this->m_BackgroundValue) << std::endl;
os << indent << "Barrier object: " << this->m_Barrier.GetPointer() << std::endl;
}
} // end namespace itk
#endif
|
