ITK/Examples/Smoothing/MeanImageFilter: Difference between revisions

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<div class="floatcenter">[[File:ITK_Examples_Baseline_Smoothing_TestMeanImageFilter.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{{warning|1=The media wiki content on this page is no longer maintained.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.}}
Replace every pixel in an image with the mean of its neighbors.


==MeanImageFilter.cxx==
[https://itk.org/ITKExamples/src/Filtering/Smoothing/ApplyMeanFilter/Documentation.html?highlight=meanimagefilter  Mean filter an image]
<source lang="cpp">
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkMeanImageFilter.h"
 
#include "QuickView.h"
 
int main(int argc, char * argv[])
{
  // Verify command line arguments
  if( argc < 2 )
    {
    std::cerr << argv[0] << " InputImageFile" << std::endl;
    return EXIT_FAILURE;
    }
 
  // Setup types
  typedef itk::Image< unsigned char, 2 >                UnsignedCharImageType;
  typedef itk::ImageFileReader< UnsignedCharImageType > ReaderType;
  typedef itk::MeanImageFilter<
    UnsignedCharImageType, UnsignedCharImageType > filterType;
 
  // Create and setup a reader
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName( argv[1] );
 
  // Create and setup a mean filter
  filterType::Pointer meanFilter = filterType::New();
  meanFilter->SetInput( reader->GetOutput() );
 
  QuickView viewer;
  viewer.AddImage(reader->GetOutput());
  viewer.AddImage(meanFilter->GetOutput());
  viewer.Visualize();
 
  return EXIT_SUCCESS;
}
</source>
 
 
{{ITKVTKCMakeLists|MeanImageFilter|}}

Latest revision as of 14:58, 30 May 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Warning: The media wiki content on this page is no longer maintained.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.

Mean filter an image