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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkAntiAliasBinaryImageFilter.txx,v $
Language: C++
Date: $Date: 2007-04-20 13:36:35 $
Version: $Revision: 1.13 $
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 __itkAntiAliasBinaryImageFilter_txx
#define __itkAntiAliasBinaryImageFilter_txx
#include "itkAntiAliasBinaryImageFilter.h"
#include "itkMinimumMaximumImageCalculator.h"
namespace itk {
template <class TInputImage, class TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "m_UpperBinaryValue = " << m_UpperBinaryValue << std::endl;
os << indent << "m_LowerBinaryValue = " << m_LowerBinaryValue << std::endl;
os << indent << "m_InputImage = " << m_InputImage << std::endl;
}
template <class TInputImage, class TOutputImage>
typename AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::ValueType
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::CalculateUpdateValue(const IndexType &idx, const TimeStepType &dt,
const ValueType &value, const ValueType &change)
{
// This method introduces the constraint on the flow of the surface.
const BinaryValueType binary_val = m_InputImage->GetPixel( idx );
const ValueType new_value = value + dt * change;
if (binary_val == m_UpperBinaryValue)
{
return ( vnl_math_max(new_value, this->GetValueZero()) );
}
else
{
return ( vnl_math_min(new_value, this->GetValueZero()) );
}
}
template <class TInputImage, class TOutputImage>
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::AntiAliasBinaryImageFilter()
{
m_InputImage = NULL;
m_CurvatureFunction = CurvatureFunctionType::New();
this->SetDifferenceFunction(m_CurvatureFunction);
if (TInputImage::ImageDimension == 2)
{
this->SetNumberOfLayers(2);
}
else
{
if (TInputImage::ImageDimension == 3)
{
this->SetNumberOfLayers(3);
}
else
{
this->SetNumberOfLayers(TInputImage::ImageDimension);
}
}
this->SetMaximumRMSError(0.07);
m_UpperBinaryValue = NumericTraits<BinaryValueType>::One;
m_LowerBinaryValue = - NumericTraits<BinaryValueType>::One;
this->SetNumberOfIterations(1000);
}
template <class TInputImage, class TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
this->InterpolateSurfaceLocationOff(); // no need for interpolation here
if (TInputImage::ImageDimension > 3 && this->GetNumberOfLayers() < 4)
{
itkWarningMacro("Only 3 layers are being used in the solver. You should consider using at least as many layers as dimensions of your input. This value can be set by calling SetNumberOfLayers(n) on this filter.");
}
m_InputImage = this->GetInput();
// Find the minimum and maximum of the input image and use these values to
// set m_UpperBinaryValue, m_LowerBinaryValue, and m_IsoSurfaceValue in the
// parent class.
typename itk::MinimumMaximumImageCalculator<InputImageType>::Pointer
minmax = itk::MinimumMaximumImageCalculator<InputImageType>::New();
minmax->SetImage( m_InputImage );
minmax->ComputeMinimum();
minmax->ComputeMaximum();
m_UpperBinaryValue = minmax->GetMaximum();
m_LowerBinaryValue = minmax->GetMinimum();
ValueType min = static_cast<ValueType>(minmax->GetMinimum());
ValueType max = static_cast<ValueType>(minmax->GetMaximum());
// IsoSurface value is halfway between minimum and maximum. In a binary
// image, this places the zero level sets correctly no matter what the binary
// values may be.
this->SetIsoSurfaceValue( max - ( (max - min)/2.0 ) );
// Start the solver.
Superclass::GenerateData();
}
} // end namespace itk
#endif
|
