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Home < Documentation < Nightly < Modules < MedianImageFilter

For the stable Slicer documentation, visit the 4.6 page.

Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Author: Jim Miller, GE
Contact: Jim Miller


Module Description

The MedianImageFilter is commonly used as a robust approach for noise reduction. This filter is particularly efficient against "salt-and-pepper" noise. In other words, it is robust to the presence of gray-level outliers. MedianImageFilter computes the value of each output pixel as the statistical median of the neighborhood of values around the corresponding input pixel.

Use Cases

Most frequently used for these scenarios:

  • Use Case 1:



Panels and their use


  • Median Filter Parameters: Parameters for the median filter
    • Neighborhood Size (neighborhood): The size of the neighborhood in each dimension
  • IO: Input/output parameters
    • Input Volume (inputVolume): Input volume to be filtered
    • Output Volume (outputVolume): Output filtered

List of parameters generated transforming this XML file using this XSL file. To update the URL of the XML file, edit this page.

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