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
|
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 itkBinaryImageToStatisticsLabelMapFilter_hxx
#define itkBinaryImageToStatisticsLabelMapFilter_hxx
#include "itkBinaryImageToStatisticsLabelMapFilter.h"
#include "itkProgressAccumulator.h"
namespace itk
{
template< typename TInputImage, typename TFeatureImage, typename TOutputImage >
BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >
::BinaryImageToStatisticsLabelMapFilter()
{
m_OutputBackgroundValue = NumericTraits< OutputImagePixelType >::NonpositiveMin();
m_InputForegroundValue = NumericTraits< InputImagePixelType >::max();
m_FullyConnected = false;
m_ComputeFeretDiameter = false;
m_ComputePerimeter = true;
m_NumberOfBins = 128;
m_ComputeHistogram = true;
this->SetNumberOfRequiredInputs(2);
}
template< typename TInputImage, typename TFeatureImage, typename TOutputImage >
void
BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >
::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, typename TOutputImage >
void
BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template< typename TInputImage, typename TFeatureImage, typename TOutputImage >
void
BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >
::GenerateData()
{
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Allocate the output
this->AllocateOutputs();
typename LabelizerType::Pointer labelizer = LabelizerType::New();
labelizer->SetInput( this->GetInput() );
labelizer->SetInputForegroundValue(m_InputForegroundValue);
labelizer->SetOutputBackgroundValue(m_OutputBackgroundValue);
labelizer->SetFullyConnected(m_FullyConnected);
labelizer->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(labelizer, .5f);
typename LabelObjectValuatorType::Pointer valuator = LabelObjectValuatorType::New();
valuator->SetInput( labelizer->GetOutput() );
valuator->SetFeatureImage( this->GetFeatureImage() );
valuator->SetNumberOfThreads( this->GetNumberOfThreads() );
valuator->SetComputePerimeter(m_ComputePerimeter);
valuator->SetComputeFeretDiameter(m_ComputeFeretDiameter);
valuator->SetComputeHistogram(m_ComputeHistogram);
valuator->SetNumberOfBins(m_NumberOfBins);
progress->RegisterInternalFilter(valuator, .5f);
valuator->GraftOutput( this->GetOutput() );
valuator->Update();
this->GraftOutput( valuator->GetOutput() );
}
template< typename TInputImage, typename TFeatureImage, typename TOutputImage >
void
BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "FullyConnected: " << m_FullyConnected << std::endl;
os << indent << "OutputBackgroundValue: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( m_OutputBackgroundValue )
<< std::endl;
os << indent << "InputForegroundValue: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( m_InputForegroundValue ) << std::endl;
os << indent << "ComputeFeretDiameter: " << m_ComputeFeretDiameter << std::endl;
os << indent << "ComputePerimeter: " << m_ComputePerimeter << std::endl;
os << indent << "ComputeHistogram: " << m_ComputeHistogram << std::endl;
os << indent << "NumberOfBins: " << m_NumberOfBins << std::endl;
}
} // end namespace itk
#endif
|
