ITK/Examples/Smoothing/DiscreteGaussianImageFilter: Difference between revisions

From KitwarePublic
< ITK‎ | Examples
Jump to navigationJump to search
No edit summary
(Deprecated content that is moved to sphinx)
 
(One intermediate revision by one other user not shown)
Line 1: Line 1:
<div class="floatcenter">[[File:ITK_Examples_Baseline_Smoothing_TestDiscreteGaussianImageFilter.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.}}
Blur an image using a Gaussian kernel.
==DiscreteGaussianImageFilter.cxx==
<source lang="cpp">
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkDiscreteGaussianImageFilter.h"
 
#include "QuickView.h"
 
int main(int argc, char * argv[])
{
  // Verify command line arguments
  if( argc < 2 )
    {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << " inputImageFile [variance]" << std::endl;
    return EXIT_FAILURE;
    }
 
  // Parse command line argumentsa
  std::string inputFilename = argv[1];
 
  double variance = 4.0;
  if (argc > 2)
    {
    variance = atof(argv[2]);
    }
 
  // Setup types
  typedef itk::Image< unsigned char, 2 > UnsignedCharImageType;
  typedef itk::Image< float, 2 >        FloatImageType;
 
  typedef itk::ImageFileReader< UnsignedCharImageType > readerType;
 
  typedef itk::DiscreteGaussianImageFilter<
    UnsignedCharImageType, FloatImageType >  filterType;
 
  // Create and setup a reader
  readerType::Pointer reader = readerType::New();
  reader->SetFileName( inputFilename.c_str() );
 
  // Create and setup a Gaussian filter
  filterType::Pointer gaussianFilter = filterType::New();
  gaussianFilter->SetInput( reader->GetOutput() );
  gaussianFilter->SetVariance(variance);
 
  QuickView viewer;
  viewer.AddImage<UnsignedCharImageType>(reader->GetOutput());
  viewer.AddImage<FloatImageType>(gaussianFilter->GetOutput());
   viewer.Visualize();
 
  return EXIT_SUCCESS;
}
</source>
{{ITKVTKCMakeLists|DiscreteGaussianImageFilter|}}

Latest revision as of 17:01, 6 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Warning: The media wiki content on this page is no longer maintained.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.