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: itkNormalizeImageFilter.txx,v $
Language: C++
Date: $Date: 2007-02-13 10:21:01 $
Version: $Revision: 1.14 $
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 _itkNormalizeImageFilter_txx
#define _itkNormalizeImageFilter_txx
#include "itkNormalizeImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkStatisticsImageFilter.h"
#include "itkShiftScaleImageFilter.h"
#include "itkProgressAccumulator.h"
#include "itkCommand.h"
namespace itk
{
template <class TInputImage, class TOutputImage>
NormalizeImageFilter<TInputImage, TOutputImage>
::NormalizeImageFilter()
{
m_StatisticsFilter = 0;
m_StatisticsFilter = StatisticsImageFilter<TInputImage>::New();
m_ShiftScaleFilter = ShiftScaleImageFilter<TInputImage,TOutputImage>::New();
}
template <class TInputImage, class TOutputImage>
void
NormalizeImageFilter<TInputImage, TOutputImage>
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
InputImagePointer image =
const_cast< typename Superclass::InputImageType * >( this->GetInput() );
image->SetRequestedRegionToLargestPossibleRegion();
}
}
template <class TInputImage, class TOutputImage>
void
NormalizeImageFilter<TInputImage, TOutputImage>
::Modified() const
{
Superclass::Modified();
m_StatisticsFilter->Modified();
m_ShiftScaleFilter->Modified();
}
template <class TInputImage, class TOutputImage>
void
NormalizeImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
progress->RegisterInternalFilter(m_StatisticsFilter,.5f);
progress->RegisterInternalFilter(m_ShiftScaleFilter,.5f);
// Gather statistics
m_StatisticsFilter->SetInput(this->GetInput());
m_StatisticsFilter->GetOutput()->SetRequestedRegion(this->GetOutput()->GetRequestedRegion());
m_StatisticsFilter->Update();
// Set the parameters for Shift
m_ShiftScaleFilter->SetShift(-m_StatisticsFilter->GetMean());
m_ShiftScaleFilter->SetScale(NumericTraits<ITK_TYPENAME StatisticsImageFilter<TInputImage>::RealType>::One
/ m_StatisticsFilter->GetSigma());
m_ShiftScaleFilter->SetInput(this->GetInput());
m_ShiftScaleFilter->GetOutput()->SetRequestedRegion(this->GetOutput()->GetRequestedRegion());
m_ShiftScaleFilter->Update();
// Graft the mini pipeline output to this filters output
this->GraftOutput(m_ShiftScaleFilter->GetOutput());
}
} // end namespace itk
#endif
|
