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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleMeanShiftBlurringFilter.h,v $
Language: C++
Date: $Date: 2009-03-04 19:29:54 $
Version: $Revision: 1.7 $
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 __itkSampleMeanShiftBlurringFilter_h
#define __itkSampleMeanShiftBlurringFilter_h
#include "itkSampleAlgorithmBase.h"
#include "itkListSample.h"
#include "itkMeanShiftModeSeekerBase.h"
namespace itk {
namespace Statistics {
/** \class SampleMeanShiftBlurringFilter
* \brief This filter blurs the input sample data using mean shift
* algorithm.
*
* The mode seeking part is done by any class derived from the
* MeanShiftModeSeekerBase. Users should set the input sample using
* the SetInputSample method of the superclass and set the mean shift
* mode seeker using the SetMeanShiftModeSeeker method.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* \c MeasurementVectorSize has been removed to allow the length of a measurement
* vector to be specified at run time. It is now obtained at run time from the
* sample set as input. Please use the function
* GetMeasurementVectorSize() to get the length.
*
* \sa SampleMeanShiftClusteringFilter, MeanShiftModeSeekerBase
*/
template< class TSample >
class SampleMeanShiftBlurringFilter :
public SampleAlgorithmBase< TSample >
{
public:
/** Standard class typedefs. */
typedef SampleMeanShiftBlurringFilter Self;
typedef SampleAlgorithmBase< TSample > Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard Macros */
itkTypeMacro(SampleMeanShiftBlurringFilter, SampleAlgorithmBase);
itkNewMacro(Self);
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef typename Superclass::InputSampleType InputSampleType;
typedef ListSample< MeasurementVectorType > OutputType;
typedef MeanShiftModeSeekerBase< TSample > MeanShiftModeSeekerType;
/** Set/Gets the mean shift evolving function */
void SetMeanShiftModeSeeker(MeanShiftModeSeekerType* function);
MeanShiftModeSeekerType* GetMeanShiftModeSeeker()
{ return m_ModeSeeker; }
/** Returns the blurred sample data in a ListSample object */
OutputType* GetOutput();
protected:
SampleMeanShiftBlurringFilter();
virtual ~SampleMeanShiftBlurringFilter();
void PrintSelf(std::ostream& os, Indent indent) const;
/** Blurring the input sample and creates a ListSample with blurred data */
void GenerateData();
private:
typename OutputType::Pointer m_Output;
MeanShiftModeSeekerType* m_ModeSeeker;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSampleMeanShiftBlurringFilter.txx"
#endif
#endif
|
