ITK  5.0.0
Insight Segmentation and Registration Toolkit
itkHistogramToLogProbabilityImageFilter.h
Go to the documentation of this file.
1 /*=========================================================================
2  *
3  * Copyright Insight Software Consortium
4  *
5  * Licensed under the Apache License, Version 2.0 (the "License");
6  * you may not use this file except in compliance with the License.
7  * You may obtain a copy of the License at
8  *
9  * http://www.apache.org/licenses/LICENSE-2.0.txt
10  *
11  * Unless required by applicable law or agreed to in writing, software
12  * distributed under the License is distributed on an "AS IS" BASIS,
13  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14  * See the License for the specific language governing permissions and
15  * limitations under the License.
16  *
17  *=========================================================================*/
18 #ifndef itkHistogramToLogProbabilityImageFilter_h
19 #define itkHistogramToLogProbabilityImageFilter_h
20 
22 
23 namespace itk
24 {
47 namespace Function
48 {
49 template< typename TInput, typename TOutput = double >
51 {
52 public:
53 
54  //Probability function = Number of occurrences in each bin /
55  // Total Number of occurrences.
56  //
57  // Returns pixels of float..
58  using OutputPixelType = TOutput;
59 
61  {}
62 
64 
65  inline OutputPixelType operator()(const TInput & A) const
66  {
67  if ( A )
68  {
69  return static_cast< OutputPixelType >( std::log( static_cast< OutputPixelType >( A )
70  / static_cast< OutputPixelType >( m_TotalFrequency ) )
71  / std::log(2.0) );
72  }
73  else
74  { // Check for Log 0. Always assume that the frequency is atleast 1.
75  return static_cast< OutputPixelType >( std::log( static_cast< OutputPixelType >( A + 1 )
76  / static_cast< OutputPixelType >( m_TotalFrequency ) )
77  / std::log(2.0) );
78  }
79  }
80 
82  {
83  m_TotalFrequency = n;
84  }
85 
87  {
88  return m_TotalFrequency;
89  }
90 
91 private:
93 };
94 }
95 
96 template< typename THistogram, typename TImage=Image< double, 3 > >
98  public HistogramToImageFilter< THistogram, TImage,
99  Function::HistogramLogProbabilityFunction< SizeValueType, typename TImage::PixelType > >
100 {
101 public:
102  ITK_DISALLOW_COPY_AND_ASSIGN(HistogramToLogProbabilityImageFilter);
103 
106 
108  using Superclass = HistogramToImageFilter< THistogram, TImage,
110 
113 
116 
118  itkNewMacro(Self);
119 
120 protected:
122  ~HistogramToLogProbabilityImageFilter() override = default;
123 };
124 } // end namespace itk
125 
126 #endif
Light weight base class for most itk classes.
unsigned long SizeValueType
Definition: itkIntTypes.h:83
~HistogramToLogProbabilityImageFilter() override=default
The class takes a histogram as an input and gives the log probability image as the output...
This class takes a histogram as an input and returns an image of type specified by the functor...