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
|
/*=========================================================================
*
* 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 itkLabelStatisticsKeepNObjectsImageFilter_hxx
#define itkLabelStatisticsKeepNObjectsImageFilter_hxx
#include "itkProgressAccumulator.h"
namespace itk
{
template <typename TInputImage, typename TFeatureImage>
LabelStatisticsKeepNObjectsImageFilter<TInputImage, TFeatureImage>::LabelStatisticsKeepNObjectsImageFilter()
{
m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
m_NumberOfObjects = 1;
m_ReverseOrdering = false;
m_Attribute = LabelObjectType::MEAN;
this->SetNumberOfRequiredInputs(2);
}
template <typename TInputImage, typename TFeatureImage>
void
LabelStatisticsKeepNObjectsImageFilter<TInputImage, TFeatureImage>::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
if (input)
{
input->SetRequestedRegion(input->GetLargestPossibleRegion());
}
}
template <typename TInputImage, typename TFeatureImage>
void
LabelStatisticsKeepNObjectsImageFilter<TInputImage, TFeatureImage>::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion(this->GetOutput()->GetLargestPossibleRegion());
}
template <typename TInputImage, typename TFeatureImage>
void
LabelStatisticsKeepNObjectsImageFilter<TInputImage, TFeatureImage>::GenerateData()
{
// Create a process accumulator for tracking the progress of this minipipeline
auto progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Allocate the output
this->AllocateOutputs();
auto labelizer = LabelizerType::New();
labelizer->SetInput(this->GetInput());
labelizer->SetBackgroundValue(m_BackgroundValue);
labelizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(labelizer, .3f);
auto valuator = LabelObjectValuatorType::New();
valuator->SetInput(labelizer->GetOutput());
valuator->SetFeatureImage(this->GetFeatureImage());
valuator->SetLabelImage(this->GetInput());
valuator->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
valuator->SetComputeHistogram(false);
if (m_Attribute != LabelObjectType::PERIMETER && m_Attribute != LabelObjectType::ROUNDNESS)
{
valuator->SetComputePerimeter(false);
}
if (m_Attribute == LabelObjectType::FERET_DIAMETER)
{
valuator->SetComputeFeretDiameter(true);
}
progress->RegisterInternalFilter(valuator, .3f);
auto opening = KeepNObjectsType::New();
opening->SetInput(valuator->GetOutput());
opening->SetNumberOfObjects(m_NumberOfObjects);
opening->SetReverseOrdering(m_ReverseOrdering);
opening->SetAttribute(m_Attribute);
opening->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(opening, .2f);
auto binarizer = BinarizerType::New();
binarizer->SetInput(opening->GetOutput());
binarizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(binarizer, .2f);
binarizer->GraftOutput(this->GetOutput());
binarizer->Update();
this->GraftOutput(binarizer->GetOutput());
}
template <typename TInputImage, typename TFeatureImage>
void
LabelStatisticsKeepNObjectsImageFilter<TInputImage, TFeatureImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent
<< "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue)
<< std::endl;
os << indent << "NumberOfObjects: " << m_NumberOfObjects << std::endl;
os << indent << "ReverseOrdering: " << m_ReverseOrdering << std::endl;
os << indent << "Attribute: " << LabelObjectType::GetNameFromAttribute(m_Attribute) << " (" << m_Attribute << ')'
<< std::endl;
}
} // end namespace itk
#endif
|
