Mean Filtering of an Image

Synopsis

Apply mean filtering on an image.

Results

Input image

Output image

Code

Python

#!/usr/bin/env python

import itk
import argparse

parser = argparse.ArgumentParser(description="Mean Filtering Of An Image.")
parser.add_argument("input_image")
parser.add_argument("output_image")
parser.add_argument("radius", type=int)
args = parser.parse_args()

PixelType = itk.UC
Dimension = 2

ImageType = itk.Image[PixelType, Dimension]

reader = itk.ImageFileReader[ImageType].New()
reader.SetFileName(args.input_image)

meanFilter = itk.MeanImageFilter[ImageType, ImageType].New()
meanFilter.SetInput(reader.GetOutput())
meanFilter.SetRadius(args.radius)

writer = itk.ImageFileWriter[ImageType].New()
writer.SetFileName(args.output_image)
writer.SetInput(meanFilter.GetOutput())

writer.Update()

C++

#include "itkMeanImageFilter.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"

int
main(int argc, char * argv[])
{
  if (argc != 4)
  {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << " <InputImageFile> <OutputImageFile> <radius>" << std::endl;
    return EXIT_FAILURE;
  }

  constexpr unsigned int Dimension = 2;

  const char * inputFileName = argv[1];
  const char * outputFileName = argv[2];
  const int    radiusValue = std::stoi(argv[3]);

  using PixelType = unsigned char;
  using ImageType = itk::Image<PixelType, Dimension>;

  using ReaderType = itk::ImageFileReader<ImageType>;
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName(inputFileName);

  using FilterType = itk::MeanImageFilter<ImageType, ImageType>;
  FilterType::Pointer meanFilter = FilterType::New();

  FilterType::InputSizeType radius;
  radius.Fill(radiusValue);

  meanFilter->SetRadius(radius);
  meanFilter->SetInput(reader->GetOutput());

  using WriterType = itk::ImageFileWriter<ImageType>;
  WriterType::Pointer writer = WriterType::New();
  writer->SetInput(meanFilter->GetOutput());
  writer->SetFileName(outputFileName);

  try
  {
    writer->Update();
  }
  catch (itk::ExceptionObject & error)
  {
    std::cerr << "Error: " << error << std::endl;
    return EXIT_FAILURE;
  }

  return EXIT_SUCCESS;
}

Classes demonstrated

template<typename TInputImage, typename TOutputImage>
class MeanImageFilter : public itk::BoxImageFilter<TInputImage, TOutputImage>

Applies an averaging filter to an image.

Computes an image where a given pixel is the mean value of the the pixels in a neighborhood about the corresponding input pixel.

A mean filter is one of the family of linear filters.

See

Image

See

Neighborhood

See

NeighborhoodOperator

See

NeighborhoodIterator

ITK Sphinx Examples:

• All ITK Sphinx Examples

• Mean filter an image

Subclassed by itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >

See itk::MeanImageFilter for additional documentation.