File: itkBinaryImageToLabelMapFilter.h

package info (click to toggle)
insighttoolkit 3.20.1%2Bgit20120521-5
  • links: PTS, VCS
  • area: main
  • in suites: jessie, jessie-kfreebsd
  • size: 80,672 kB
  • ctags: 85,253
  • sloc: cpp: 458,133; ansic: 196,222; fortran: 28,000; python: 3,839; tcl: 1,811; sh: 1,184; java: 583; makefile: 428; csh: 220; perl: 193; xml: 20
file content (254 lines) | stat: -rw-r--r-- 8,677 bytes parent folder | download | duplicates (2)
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
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
/*=========================================================================

  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 &current, 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