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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBinaryImageToLabelMapFilter.h
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 __itkBinaryImageToLabelMapFilter_h
#define __itkBinaryImageToLabelMapFilter_h
#include "itkImageToImageFilter.h"
#include "itkImage.h"
#include "itkConceptChecking.h"
#include <vector>
#include <map>
#include "itkProgressReporter.h"
#include "itkBarrier.h"
#include "itkLabelMap.h"
#include "itkLabelObject.h"
namespace itk
{
/**
* \class BinaryImageToLabelMapFilter
* \brief Label the connected components in a binary image and produce a
* collection of label objects.
*
* BinaryImageToLabelMapFilter labels the objects in a binary image.
* Each distinct object is assigned a unique label.
* The final object labels start with 1 and are consecutive. Objects
* that are reached earlier by a raster order scan have a lower
* label.
*
* This implementation was taken from the Insight Journal paper:
* http://hdl.handle.net/1926/584 or
* http://www.insight-journal.org/browse/publication/176
*
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* \sa ConnectedComponentImageFilter, LabelImageToLabelMapFilter, LabelMap
*/
template <class TInputImage,
class TOutputImage =
LabelMap< LabelObject< unsigned long, ::itk::GetImageDimension<TInputImage>::ImageDimension> > >
class ITK_EXPORT BinaryImageToLabelMapFilter :
public ImageToImageFilter< TInputImage, TOutputImage >
{
public:
/**
* Standard "Self" & Superclass typedef.
*/
typedef BinaryImageToLabelMapFilter Self;
typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/**
* Method for creation through the object factory.
*/
itkNewMacro(Self);
/**
* Run-time type information (and related methods)
*/
itkTypeMacro(BinaryImageToLabelMapFilter, ImageToImageFilter);
/**
* Types from the Superclass
*/
typedef typename Superclass::InputImagePointer InputImagePointer;
/**
* Extract some information from the image types. Dimensionality
* of the two images is assumed to be the same.
*/
typedef typename TOutputImage::PixelType OutputPixelType;
typedef typename TInputImage::PixelType InputPixelType;
typedef typename TInputImage::SizeValueType SizeValueType;
typedef typename TInputImage::OffsetValueType OffsetValueType;
itkStaticConstMacro(ImageDimension, unsigned int, TOutputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
/**
* Image typedef support
*/
typedef TInputImage InputImageType;
typedef typename TInputImage::IndexType IndexType;
typedef typename TInputImage::SizeType SizeType;
typedef typename TInputImage::OffsetType OffsetType;
typedef TOutputImage OutputImageType;
typedef typename TOutputImage::RegionType RegionType;
typedef typename TOutputImage::IndexType OutputIndexType;
typedef typename TOutputImage::SizeType OutputSizeType;
typedef typename TOutputImage::OffsetType OutputOffsetType;
typedef typename TOutputImage::PixelType OutputImagePixelType;
typedef std::list<IndexType> ListType;
/**
* Set/Get whether the connected components are defined strictly by
* face connectivity or by face+edge+vertex connectivity. Default is
* FullyConnectedOff. For objects that are 1 pixel wide, use
* FullyConnectedOn.
*/
itkSetMacro(FullyConnected, bool);
itkGetConstReferenceMacro(FullyConnected, bool);
itkBooleanMacro(FullyConnected);
// only set after completion
itkGetConstReferenceMacro( NumberOfObjects, unsigned long);
/**
* Set/Get the value used as "background" in the output image.
* Defaults to NumericTraits<OutputPixelType>::NonpositiveMin().
*/
itkSetMacro(OutputBackgroundValue, OutputPixelType);
itkGetConstMacro(OutputBackgroundValue, OutputPixelType);
/**
* Set/Get the value to be consider "foreground" in the input image.
* Defaults to NumericTraits<InputPixelType>::max().
*/
itkSetMacro(InputForegroundValue, InputPixelType);
itkGetConstMacro(InputForegroundValue, InputPixelType);
#ifdef ITK_USE_CONCEPT_CHECKING
// Concept checking -- input and output dimensions must be the same
itkConceptMacro(SameDimension,
(Concept::SameDimension<itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension)>));
#endif
protected:
BinaryImageToLabelMapFilter();
virtual ~BinaryImageToLabelMapFilter() {}
void PrintSelf(std::ostream& os, Indent indent) const;
/**
* Standard pipeline method.
*/
void BeforeThreadedGenerateData ();
void AfterThreadedGenerateData ();
void ThreadedGenerateData (const RegionType& outputRegionForThread, int threadId);
/** BinaryImageToLabelMapFilter needs the entire input. Therefore
* it must provide an implementation GenerateInputRequestedRegion().
* \sa ProcessObject::GenerateInputRequestedRegion(). */
void GenerateInputRequestedRegion();
/** BinaryImageToLabelMapFilter will produce all of the output.
* Therefore it must provide an implementation of
* EnlargeOutputRequestedRegion().
* \sa ProcessObject::EnlargeOutputRequestedRegion() */
void EnlargeOutputRequestedRegion(DataObject *itkNotUsed(output));
private:
BinaryImageToLabelMapFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
// some additional types
typedef typename TOutputImage::RegionType::SizeType OutSizeType;
// types to support the run length encoding of lines
class runLength
{
public:
// run length information - may be a more type safe way of doing this
long int length;
typename InputImageType::IndexType where; // Index of the start of the run
unsigned long int label; // the initial label of the run
};
typedef std::vector<runLength> lineEncoding;
// the map storing lines
typedef std::vector<lineEncoding> LineMapType;
typedef std::vector<long> OffsetVectorType;
// the types to support union-find operations
typedef std::vector<unsigned long int> UnionFindType;
UnionFindType m_UnionFind;
UnionFindType m_Consecutive;
// functions to support union-find operations
void InitUnion(const unsigned long int size)
{
m_UnionFind = UnionFindType(size + 1);
}
void InsertSet(const unsigned long int label);
unsigned long int LookupSet(const unsigned long int label);
void LinkLabels(const unsigned long int lab1, const unsigned long int lab2);
unsigned long int CreateConsecutive();
//////////////////
bool CheckNeighbors(const OutputIndexType &A,
const OutputIndexType &B);
void CompareLines(lineEncoding ¤t, const lineEncoding &Neighbour);
void FillOutput(const LineMapType &LineMap,
ProgressReporter &progress);
void SetupLineOffsets( OffsetVectorType & LineOffsets );
void Wait()
{
// use m_NumberOfLabels.size() to get the number of thread used
if( m_NumberOfLabels.size() > 1 )
{
m_Barrier->Wait();
}
}
OutputPixelType m_OutputBackgroundValue;
InputPixelType m_InputForegroundValue;
SizeValueType m_NumberOfObjects;
bool m_FullyConnected;
typename std::vector< SizeValueType > m_NumberOfLabels;
typename std::vector< SizeValueType > m_FirstLineIdToJoin;
typename Barrier::Pointer m_Barrier;
#if !defined(CABLE_CONFIGURATION)
LineMapType m_LineMap;
#endif
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#if !defined(CABLE_CONFIGURATION)
#include "itkBinaryImageToLabelMapFilter.txx"
#endif
#endif
#endif
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