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
|
/*=========================================================================
*
* 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 itkCannySegmentationLevelSetFunction_hxx
#define itkCannySegmentationLevelSetFunction_hxx
#include "itkCannySegmentationLevelSetFunction.h"
#include "itkGradientImageFilter.h"
#include "itkMultiplyImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageAlgorithm.h"
namespace itk
{
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateSpeedImage()
{
// Create a distance transform to the canny edges
this->CalculateDistanceImage();
// Graft the distance transform into the Speed Image
this->GetSpeedImage()->Graft( m_Distance->GetOutput() );
}
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateAdvectionImage()
{
typename GradientImageFilter< ImageType, ScalarValueType, ScalarValueType >::Pointer
gradient = GradientImageFilter< ImageType, ScalarValueType, ScalarValueType >::New();
typedef typename GradientImageFilter< ImageType, ScalarValueType,
ScalarValueType >::OutputImageType CovariantVectorImageType;
typename MultiplyImageFilter< CovariantVectorImageType, ImageType,
CovariantVectorImageType >::Pointer multiply =
MultiplyImageFilter< CovariantVectorImageType, ImageType, CovariantVectorImageType >::New();
// Create a distance transform to the canny edges
this->CalculateDistanceImage();
gradient->SetInput( m_Distance->GetOutput() );
gradient->Update();
multiply->SetInput1( gradient->GetOutput() );
multiply->SetInput2( m_Distance->GetOutput() );
// multiply->GraftOutput(dynamic_cast<CovariantVectorImageType
// *>(this->GetAdvectionImage()));
multiply->Update();
// Copy output to Advection Image
ImageAlgorithm::Copy( multiply->GetOutput(),
this->GetAdvectionImage(),
this->GetAdvectionImage()->GetRequestedRegion(),
this->GetAdvectionImage()->GetRequestedRegion() );
}
template< typename TImageType, typename TFeatureImageType >
void CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >
::CalculateDistanceImage()
{
typename TFeatureImageType::Pointer tempFeature = TFeatureImageType::New();
// The minipipeline might muck with its feature image requested
// region. The rest of the class relies on the feature image requested
// region as specified by the original level set
// filter. We make a temporary shallow copy of feature image to
// build the distance image.
tempFeature->Graft( this->GetFeatureImage() );
// AssignCannyInput either sets up a pipeline through the
// CastImageFilter if TImageType != TFeatureImageType
// or bypasses the Cast operation if TImageType == TFeatureType
typename TImageType::Pointer junk;
this->AssignCannyInput(tempFeature,junk);
m_Canny->SetUpperThreshold(m_Threshold);
m_Canny->SetVariance(m_Variance);
m_Canny->SetMaximumError(0.01);
m_Distance->SetInput( m_Canny->GetOutput() );
m_Distance->GetOutput()->SetRequestedRegion( this->GetSpeedImage()->GetRequestedRegion() );
m_Distance->Update();
}
} // end namespace itk
#endif
|
