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
133
134
135
136
137
138
139
140
141
142
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkOtsuThresholdImageFilter_h
#define itkOtsuThresholdImageFilter_h
#include "itkHistogramThresholdImageFilter.h"
#include "itkOtsuThresholdCalculator.h"
namespace itk
{
/**
* \class OtsuThresholdImageFilter
* \brief Threshold an image using the Otsu Threshold
*
* This filter creates a binary thresholded image that separates an
* image into foreground and background components. The filter
* computes the threshold using the OtsuThresholdCalculator and
* applies that threshold to the input image using the
* BinaryThresholdImageFilter.
*
* \author Richard Beare
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* This implementation was taken from the Insight Journal paper:
* https://www.insight-journal.org/browse/publication/811
*
* \sa HistogramThresholdImageFilter
*
* \ingroup Multithreaded
* \ingroup ITKThresholding
*
* \sphinx
* \sphinxexample{Filtering/Thresholding/SeparateGroundUsingOtsu,Separate Foreground And Background Using Otsu Method}
* \endsphinx
*/
template <typename TInputImage, typename TOutputImage, typename TMaskImage = TOutputImage>
class ITK_TEMPLATE_EXPORT OtsuThresholdImageFilter
: public HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(OtsuThresholdImageFilter);
/** Standard Self type alias */
using Self = OtsuThresholdImageFilter;
using Superclass = HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(OtsuThresholdImageFilter);
using InputImageType = TInputImage;
using OutputImageType = TOutputImage;
using MaskImageType = TMaskImage;
/** Image pixel value type alias. */
using InputPixelType = typename InputImageType::PixelType;
using OutputPixelType = typename OutputImageType::PixelType;
using MaskPixelType = typename MaskImageType::PixelType;
/** Image related type alias. */
using InputImagePointer = typename InputImageType::Pointer;
using OutputImagePointer = typename OutputImageType::Pointer;
using InputSizeType = typename InputImageType::SizeType;
using InputIndexType = typename InputImageType::IndexType;
using InputImageRegionType = typename InputImageType::RegionType;
using OutputSizeType = typename OutputImageType::SizeType;
using OutputIndexType = typename OutputImageType::IndexType;
using OutputImageRegionType = typename OutputImageType::RegionType;
using MaskSizeType = typename MaskImageType::SizeType;
using MaskIndexType = typename MaskImageType::IndexType;
using MaskImageRegionType = typename MaskImageType::RegionType;
using typename Superclass::HistogramType;
using CalculatorType = OtsuThresholdCalculator<HistogramType, InputPixelType>;
/** Image related type alias. */
static constexpr unsigned int InputImageDimension = InputImageType::ImageDimension;
static constexpr unsigned int OutputImageDimension = OutputImageType::ImageDimension;
/** Should the threshold value be mid-point of the bin or the maximum?
* Default is to return bin maximum. */
itkSetMacro(ReturnBinMidpoint, bool);
itkGetConstReferenceMacro(ReturnBinMidpoint, bool);
itkBooleanMacro(ReturnBinMidpoint);
protected:
OtsuThresholdImageFilter() { this->SetCalculator(CalculatorType::New()); }
~OtsuThresholdImageFilter() override = default;
void
GenerateData() override
{
auto calc = static_cast<CalculatorType *>(this->GetModifiableCalculator());
calc->SetReturnBinMidpoint(m_ReturnBinMidpoint);
this->Superclass::GenerateData();
}
void
VerifyPreconditions() ITKv5_CONST override
{
Superclass::VerifyPreconditions();
if (dynamic_cast<const CalculatorType *>(Superclass::GetCalculator()) == nullptr)
{
itkExceptionMacro("Invalid OtsuThresholdCalculator.");
}
}
private:
#if defined(ITKV4_COMPATIBILITY)
bool m_ReturnBinMidpoint{ true };
#else
bool m_ReturnBinMidpoint{ false };
#endif
};
} // end namespace itk
#endif
|
