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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMeanSampleFilter.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 __itkMeanSampleFilter_h
#define __itkMeanSampleFilter_h
#include "itkProcessObject.h"
#include "itkArray.h"
#include "itkSimpleDataObjectDecorator.h"
#include "itkDataObject.h"
namespace itk {
namespace Statistics {
/** \class MeanSampleFilter
* \brief Given a sample, this filter computes the sample mean
*
* The sample is plugged in using SetSample method. Then invoke
* update() method to compute the sample mean.
*
* The sample mean is computed as follows
* \f$ = \frac{1}{n}\sum^{n}_{i=1}x_{i}\f$ where \f$n\f$ is the
* number of measurement vectors in the target
*
* Recent API changes:
* The static const macro to get the length of a measurement vector,
* 'MeasurementVectorSize' has been removed to allow the length of a measurement
* vector to be specified at run time. It is now obtained from the input sample.
* Please use the function GetMeasurementVectorSize() to obtain the length.
*/
template< class TSample >
class ITK_EXPORT MeanSampleFilter : public ProcessObject
{
public:
/**Standard class typedefs. */
typedef MeanSampleFilter Self;
typedef ProcessObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
typedef TSample SampleType;
/**Standard Macros */
itkTypeMacro(MeanSampleFilter, ProcessObject);
itkNewMacro(Self);
/** Length of a measurement vector */
typedef unsigned int MeasurementVectorSizeType;
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef typename TSample::MeasurementType MeasurementType;
/** Method to set/get the sample */
void SetInput( const SampleType * sample );
const SampleType * GetInput() const;
/** MeasurementVector is not a DataObject, we need to decorate it to push it down
* a ProcessObject's pipeline */
typedef SimpleDataObjectDecorator< MeasurementVectorType > MeasurementVectorDecoratedType;
typedef MeasurementVectorDecoratedType OutputType;
/** Get the mean measurement vector */
const MeasurementVectorDecoratedType * GetOutput() const;
const MeasurementVectorType GetMean() const;
protected:
MeanSampleFilter();
virtual ~MeanSampleFilter();
void PrintSelf(std::ostream& os, Indent indent) const;
/** DataObject pointer */
typedef DataObject::Pointer DataObjectPointer;
virtual DataObjectPointer MakeOutput(unsigned int idx);
void GenerateData();
private:
MeanSampleFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanSampleFilter.txx"
#endif
#endif
|
