1 /*=========================================================================
2 Program: vv http://www.creatis.insa-lyon.fr/rio/vv
5 - University of LYON http://www.universite-lyon.fr/
6 - Léon Bérard cancer center http://www.centreleonberard.fr
7 - CREATIS CNRS laboratory http://www.creatis.insa-lyon.fr
9 This software is distributed WITHOUT ANY WARRANTY; without even
10 the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
11 PURPOSE. See the copyright notices for more information.
13 It is distributed under dual licence
15 - BSD See included LICENSE.txt file
16 - CeCILL-B http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
17 ===========================================================================**/
19 //--------------------------------------------------------------------
20 template <class ImageType>
21 clitk::LabelImageOverlapMeasureFilter<ImageType>::
22 LabelImageOverlapMeasureFilter():
24 itk::ImageToImageFilter<ImageType, ImageType>()
26 this->SetNumberOfRequiredInputs(2);
29 SetBackgroundValue(0);
31 //--------------------------------------------------------------------
34 //--------------------------------------------------------------------
35 template <class ImageType>
37 clitk::LabelImageOverlapMeasureFilter<ImageType>::
38 GenerateOutputInformation()
40 // DD("GenerateOutputInformation");
41 //ImagePointer input = dynamic_cast<ImageType*>(itk::ProcessObject::GetInput(0));
42 // ImagePointer outputImage = this->GetOutput(0);
43 // outputImage->SetRegions(outputImage->GetLargestPossibleRegion());
45 //--------------------------------------------------------------------
48 //--------------------------------------------------------------------
49 template <class ImageType>
51 clitk::LabelImageOverlapMeasureFilter<ImageType>::
52 GenerateInputRequestedRegion()
54 // DD("GenerateInputRequestedRegion");
56 itk::ImageToImageFilter<ImageType, ImageType>::GenerateInputRequestedRegion();
57 // Get input pointers and set requested region to common region
58 ImagePointer input1 = dynamic_cast<ImageType*>(itk::ProcessObject::GetInput(0));
59 ImagePointer input2 = dynamic_cast<ImageType*>(itk::ProcessObject::GetInput(1));
60 input1->SetRequestedRegion(input1->GetLargestPossibleRegion());
61 input2->SetRequestedRegion(input2->GetLargestPossibleRegion());
63 //--------------------------------------------------------------------
65 //--------------------------------------------------------------------
66 template <class ImageType>
68 clitk::LabelImageOverlapMeasureFilter<ImageType>::
71 // DD("GenerateData");
74 m_Input1 = dynamic_cast<ImageType*>(itk::ProcessObject::GetInput(0));
75 m_Input2 = dynamic_cast<ImageType*>(itk::ProcessObject::GetInput(1));
76 static const unsigned int dim = ImageType::ImageDimension;
78 // Compute union of bounding boxes
79 typedef itk::BoundingBox<unsigned long, dim> BBType;
80 typename BBType::Pointer bb1 = BBType::New();
81 ComputeBBFromImageRegion<ImageType>(m_Input1, m_Input1->GetLargestPossibleRegion(), bb1);
82 typename BBType::Pointer bb2 = BBType::New();
83 ComputeBBFromImageRegion<ImageType>(m_Input2, m_Input2->GetLargestPossibleRegion(), bb2);
84 typename BBType::Pointer bbo = BBType::New();
85 ComputeBBUnion<dim>(bbo, bb1, bb2);
87 // Resize like the union
88 ImagePointer input1 = clitk::ResizeImageLike<ImageType>(m_Input1, bbo, GetBackgroundValue());
89 ImagePointer input2 = clitk::ResizeImageLike<ImageType>(m_Input2, bbo, GetBackgroundValue());
91 // Compute overlap image
92 ImagePointer image_union = clitk::Clone<ImageType>(input1);
93 ImagePointer image_intersection = clitk::Clone<ImageType>(input1);
94 clitk::Or<ImageType>(image_union, input2, GetBackgroundValue());
95 clitk::And<ImageType>(image_intersection, input2, GetBackgroundValue());
97 writeImage<ImageType>(image_union, "union.mha");
98 writeImage<ImageType>(image_intersection, "intersection.mha");
101 typedef itk::LabelStatisticsImageFilter<ImageType, ImageType> StatFilterType;
102 typename StatFilterType::Pointer statFilter = StatFilterType::New();
103 statFilter->SetInput(image_union);
104 statFilter->SetLabelInput(image_union);
105 statFilter->Update();
106 int u = statFilter->GetCount(GetLabel1());
108 statFilter->SetInput(image_intersection);
109 statFilter->SetLabelInput(image_intersection);
110 statFilter->Update();
111 int inter = statFilter->GetCount(GetLabel1());
113 statFilter->SetInput(m_Input1);
114 statFilter->SetLabelInput(m_Input1);
115 statFilter->Update();
116 int in1 = statFilter->GetCount(GetLabel1());
118 statFilter->SetInput(m_Input2);
119 statFilter->SetLabelInput(m_Input2);
120 statFilter->Update();
121 int in2 = statFilter->GetCount(GetLabel1());
123 std::cout << in1 << " " << in2 << " " << inter << " " << u << " " << (double)inter/(double)u << std::endl;
125 //--------------------------------------------------------------------