File: itkContourDirectedMeanDistanceImageFilter.h

package info (click to toggle)
insighttoolkit4 4.13.3withdata-dfsg2-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 491,256 kB
  • sloc: cpp: 557,600; ansic: 180,546; fortran: 34,788; python: 16,572; sh: 2,187; lisp: 2,070; tcl: 993; java: 362; perl: 200; makefile: 133; csh: 81; pascal: 69; xml: 19; ruby: 10
file content (172 lines) | stat: -rw-r--r-- 6,665 bytes parent folder | download | duplicates (3)
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
/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkContourDirectedMeanDistanceImageFilter_h
#define itkContourDirectedMeanDistanceImageFilter_h

#include "itkImageToImageFilter.h"
#include "itkNumericTraits.h"
#include "itkArray.h"
#include "itkImage.h"

namespace itk
{
/** \class ContourDirectedMeanDistanceImageFilter
 * \brief Computes the directed Mean distance between the boundaries of
 * non-zero pixel regions of two images.
 *
 * ContourDirectedMeanDistanceImageFilter computes the distance between the set
 * non-zero pixels of two images using the following formula:
 * \f[ h(A,B) = \mathrm{mean}_{a \in A} \min_{b \in B} \| a - b\| \f]
 * where \f$A\f$ and \f$B\f$ are respectively the set of non-zero pixels
 * in the first and second input images. It identifies the point \f$ a \in A \f$
 * that is farthest from any point of \f$B\f$ and measures the distance from \f$a\f$
 * to the nearest neighbor in \f$B\f$. Note that this function is not
 * is not symmetric and hence is not a true distance.
 *
 * In particular, this filter uses the SignedMaurerDistanceMapImageFilter
 * inside to compute distance map from all non-zero pixels in the second image.
 * It then computes the mean distance (in pixels) within the boundary pixels
 *  of non-zero regions in the first image.
 *
 * This filter requires the largest possible region of the first image and the
 * same corresponding region in the second image. It behaves as filter with
 * two input and one output. Thus it can be inserted in a pipeline with other
 * filters. The filter passes the first input through unmodified.
 *
 * This filter is templated over the two input image type. It assume
 * both image have the same number of dimensions.
 *
 * \sa SignedMaurerDistanceMapImageFilter
 *
 * \ingroup MultiThreaded
 *
 * \author Teo Popa, ISIS Center, Georgetown University
 *
 * \ingroup ITKDistanceMap
 */
template< typename TInputImage1, typename TInputImage2 >
class ITK_TEMPLATE_EXPORT ContourDirectedMeanDistanceImageFilter:
  public ImageToImageFilter< TInputImage1, TInputImage1 >
{
public:
  /** Standard Self typedef */
  typedef ContourDirectedMeanDistanceImageFilter           Self;
  typedef ImageToImageFilter< TInputImage1, TInputImage1 > Superclass;
  typedef SmartPointer< Self >                             Pointer;
  typedef SmartPointer< const Self >                       ConstPointer;

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** Runtime information support. */
  itkTypeMacro(ContourDirectedMeanDistanceImageFilter, ImageToImageFilter);

  /** Image related typedefs. */
  typedef TInputImage1                        InputImage1Type;
  typedef TInputImage2                        InputImage2Type;
  typedef typename TInputImage1::Pointer      InputImage1Pointer;
  typedef typename TInputImage2::Pointer      InputImage2Pointer;
  typedef typename TInputImage1::ConstPointer InputImage1ConstPointer;
  typedef typename TInputImage2::ConstPointer InputImage2ConstPointer;

  typedef typename TInputImage1::RegionType RegionType;
  typedef typename TInputImage1::SizeType   SizeType;
  typedef typename TInputImage1::IndexType  IndexType;

  typedef typename TInputImage1::PixelType InputImage1PixelType;
  typedef typename TInputImage2::PixelType InputImage2PixelType;

  /** Image related typedefs. */
  itkStaticConstMacro(ImageDimension, unsigned int,
                      TInputImage1::ImageDimension);

  /** Type to use form computations. */
  typedef typename NumericTraits< InputImage1PixelType >::RealType RealType;

  /** Set the first input. */
  void SetInput1(const InputImage1Type *image);

  /** Set the second input. */
  void SetInput2(const InputImage2Type *image);

  /** Get the first input. */
  const InputImage1Type * GetInput1();

  /** Get the second input. */
  const InputImage2Type * GetInput2();

  /** Return the computed directed Mean distance. */
  itkGetConstMacro(ContourDirectedMeanDistance, RealType);

  /** Set if image spacing should be used in computing distances. */
  itkSetMacro( UseImageSpacing, bool );
  itkGetConstMacro( UseImageSpacing, bool );

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro( InputHasNumericTraitsCheck,
                   ( Concept::HasNumericTraits< InputImage1PixelType > ) );
  // End concept checking
#endif

protected:
  ContourDirectedMeanDistanceImageFilter();
  ~ContourDirectedMeanDistanceImageFilter() ITK_OVERRIDE {}
  void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;

  /** Pass the input through unmodified. Do this by Grafting in the
    AllocateOutputs method. */
  void AllocateOutputs() ITK_OVERRIDE;

  /** Initialize some accumulators before the threads run. */
  void BeforeThreadedGenerateData() ITK_OVERRIDE;

  /** Do final mean and variance computation from data accumulated in threads.
    */
  void AfterThreadedGenerateData() ITK_OVERRIDE;

  /** Multi-thread version GenerateData. */
  void  ThreadedGenerateData(const RegionType &
                             outputRegionForThread,
                             ThreadIdType threadId) ITK_OVERRIDE;

  // Override since the filter needs all the data for the algorithm
  void GenerateInputRequestedRegion() ITK_OVERRIDE;

  // Override since the filter produces all of its output
  void EnlargeOutputRequestedRegion(DataObject *data) ITK_OVERRIDE;

private:
  ITK_DISALLOW_COPY_AND_ASSIGN(ContourDirectedMeanDistanceImageFilter);

  typedef Image< RealType, itkGetStaticConstMacro(ImageDimension) > DistanceMapType;

  typename DistanceMapType::Pointer m_DistanceMap;

  Array< RealType >       m_MeanDistance;
  Array< IdentifierType > m_Count;
  RealType                m_ContourDirectedMeanDistance;
  bool                    m_UseImageSpacing;
}; // end of class
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkContourDirectedMeanDistanceImageFilter.hxx"
#endif

#endif