ITK/Examples/ImageProcessing/NormalizeImageFilter: Difference between revisions

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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 maintainedThe examples presented on the https://itk.org/Wiki/* pages likely require ITK version 4.13 or earlier releasesIn 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==
<source lang="cpp">
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkNormalizeImageFilter.h"
#include "itkStatisticsImageFilter.h"
 
#include "QuickView.h"
 
#include <iomanip>
 
int main(int argc, char *argv[])
{
  if(argc < 2)
    {
    std::cerr << "Usage: " << argv[0] << " filename" << std::endl;
    return EXIT_FAILURE;
    }
 
  typedef itk::Image<double, 2> FloatImageType;
 
  typedef itk::ImageFileReader<FloatImageType>
    ReaderType;
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName(argv[1]);
 
  typedef itk::NormalizeImageFilter< FloatImageType, FloatImageType >
    NormalizeFilterType;
  NormalizeFilterType::Pointer normalizeFilter = NormalizeFilterType::New();
  normalizeFilter->SetInput(reader->GetOutput());
 
  typedef itk::StatisticsImageFilter< FloatImageType >
    StatisticsFilterType;
  StatisticsFilterType::Pointer statistics1 = StatisticsFilterType::New();
  statistics1->SetInput(reader->GetOutput());
 
  StatisticsFilterType::Pointer statistics2 = StatisticsFilterType::New();
  statistics2->SetInput(normalizeFilter->GetOutput());
 
  QuickView viewer;
 
  std::stringstream desc1;
  statistics1->Update();
  desc1 << itksys::SystemTools::GetFilenameName(argv[1])
        << "\nMean: " << statistics1->GetMean()
        << " Variance: " << statistics1->GetVariance();
  viewer.AddImage(
    reader->GetOutput(),
    true,
    desc1.str());  
 
  std::stringstream desc2;
  statistics2->Update();
  desc2 << "Normalize"
        << "\nMean: "
        << std::fixed << std::setprecision (2) << statistics2->GetMean()
        << " Variance: " << statistics2->GetVariance();
  viewer.AddImage(
    normalizeFilter->GetOutput(),
    true,
    desc2.str()); 
 
   viewer.Visualize();
 
  return EXIT_SUCCESS;
}
</source>
 
{{ITKVTKCMakeLists|NormalizeImageFilter|}}

Latest revision as of 20:32, 5 June 2019

Warning: 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.