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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkLabelImageToLabelMapFilter.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 __itkLabelImageToLabelMapFilter_txx
#define __itkLabelImageToLabelMapFilter_txx
#include "itkLabelImageToLabelMapFilter.h"
#include "itkNumericTraits.h"
#include "itkProgressReporter.h"
#include "itkImageLinearConstIteratorWithIndex.h"
namespace itk {
template <class TInputImage, class TOutputImage>
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::LabelImageToLabelMapFilter()
{
m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
}
template <class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<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 )
{ return; }
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
template <class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::BeforeThreadedGenerateData()
{
// init the temp images - one per thread
m_TemporaryImages.resize( this->GetNumberOfThreads() );
for( int i=0; i<this->GetNumberOfThreads(); i++ )
{
if( i == 0 )
{
// the first one is the output image
m_TemporaryImages[0] = this->GetOutput();
}
else
{
// the other must be created
m_TemporaryImages[i] = OutputImageType::New();
}
// set the minimum data needed to create the objects properly
m_TemporaryImages[i]->SetBackgroundValue( m_BackgroundValue );
}
}
template<class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::ThreadedGenerateData( const OutputImageRegionType& regionForThread, int threadId )
{
ProgressReporter progress( this, threadId, regionForThread.GetNumberOfPixels() );
typedef ImageLinearConstIteratorWithIndex< InputImageType > InputLineIteratorType;
InputLineIteratorType it( this->GetInput(), regionForThread );
it.SetDirection(0);
for( it.GoToBegin(); !it.IsAtEnd(); it.NextLine() )
{
it.GoToBeginOfLine();
while( !it.IsAtEndOfLine() )
{
const InputImagePixelType & v = it.Get();
if( v != m_BackgroundValue )
{
// We've hit the start of a run
IndexType idx = it.GetIndex();
long length=1;
++it;
while( !it.IsAtEndOfLine() && it.Get() == v )
{
++length;
++it;
}
// create the run length object to go in the vector
m_TemporaryImages[threadId]->SetLine( idx, length, v );
}
else
{
// go the the next pixel
++it;
}
}
}
}
template<class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::AfterThreadedGenerateData()
{
OutputImageType * output = this->GetOutput();
// merge the lines from the temporary images in the output image
// don't use the first image - that's the output image
for( int i=1; i<this->GetNumberOfThreads(); i++ )
{
typedef typename OutputImageType::LabelObjectContainerType LabelObjectContainerType;
const LabelObjectContainerType & labelObjectContainer = m_TemporaryImages[i]->GetLabelObjectContainer();
for( typename LabelObjectContainerType::const_iterator it = labelObjectContainer.begin();
it != labelObjectContainer.end();
it++ )
{
LabelObjectType * labelObject = it->second;
if( output->HasLabel( labelObject->GetLabel() ) )
{
// merge the lines in the output's object
typename LabelObjectType::LineContainerType & src = labelObject->GetLineContainer();
typename LabelObjectType::LineContainerType & dest = output->GetLabelObject( labelObject->GetLabel() )->GetLineContainer();
dest.insert( dest.end(), src.begin(), src.end() );
}
else
{
// simply take the object
output->AddLabelObject( labelObject );
}
}
}
// release the data in the temp images
m_TemporaryImages.clear();
}
template<class TInputImage, class TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue) << std::endl;
}
}// end namespace itk
#endif
|