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| <div class="floatcenter">[[File:ITK_Examples_Baseline_ImageProcessing_TestNormalizeImageFilter.png]]</div>
| | {{warning|1=The media wiki content on this page is no longer maintained. The examples presented on the https://itk.org/Wiki/* pages likely require ITK version 4.13 or earlier releases. In many cases, the examples on this page no longer conform to the best practices for modern ITK versions. |
| Normalize an image by setting its mean to 0 and variance to 1.
| | }} |
| ==NormalizeImageFilter.cxx==
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| <source lang="cpp">
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| #include "itkImage.h"
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| #include "itkImageFileReader.h"
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| #include "itkNormalizeImageFilter.h"
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| #include "itkStatisticsImageFilter.h"
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| | |
| #include "QuickView.h"
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| | |
| #include <iomanip>
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| | |
| int main(int argc, char *argv[])
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| {
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| if(argc < 2)
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| {
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| std::cerr << "Usage: " << argv[0] << " filename" << std::endl;
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| return EXIT_FAILURE;
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| }
| |
| | |
| typedef itk::Image<double, 2> FloatImageType;
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| | |
| typedef itk::ImageFileReader<FloatImageType>
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| ReaderType;
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| ReaderType::Pointer reader = ReaderType::New();
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| reader->SetFileName(argv[1]);
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| | |
| typedef itk::NormalizeImageFilter< FloatImageType, FloatImageType >
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| NormalizeFilterType;
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| NormalizeFilterType::Pointer normalizeFilter = NormalizeFilterType::New();
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| normalizeFilter->SetInput(reader->GetOutput());
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| | |
| typedef itk::StatisticsImageFilter< FloatImageType >
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| StatisticsFilterType;
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| StatisticsFilterType::Pointer statistics1 = StatisticsFilterType::New();
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| statistics1->SetInput(reader->GetOutput());
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| | |
| StatisticsFilterType::Pointer statistics2 = StatisticsFilterType::New();
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| statistics2->SetInput(normalizeFilter->GetOutput());
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| | |
| QuickView viewer;
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| | |
| std::stringstream desc1;
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| statistics1->Update();
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| desc1 << itksys::SystemTools::GetFilenameName(argv[1])
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| << "\nMean: " << statistics1->GetMean()
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| << " Variance: " << statistics1->GetVariance();
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| viewer.AddImage(
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| reader->GetOutput(),
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| true,
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| desc1.str());
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| | |
| std::stringstream desc2;
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| statistics2->Update();
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| desc2 << "Normalize"
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| << "\nMean: "
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| << std::fixed << std::setprecision (2) << statistics2->GetMean()
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| << " Variance: " << statistics2->GetVariance();
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| viewer.AddImage(
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| normalizeFilter->GetOutput(),
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| true,
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| desc2.str());
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| | |
| viewer.Visualize(); | |
| | |
| return EXIT_SUCCESS;
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| }
| |
| </source>
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| | |
| {{ITKVTKCMakeLists|NormalizeImageFilter|}}
| |
