<?xml version="1.0" encoding="UTF-8"?>
<executable>
  <category>Filtering.Denoising</category>
  <index>4</index>
  <title>Median Image Filter</title>
  <description><![CDATA[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.]]></description>
  <version>0.1.0.$Revision$(alpha)</version>
  <documentation-url>https://slicer.readthedocs.io/en/latest/user_guide/modules/medianimagefilter.html</documentation-url>
  <license/>
  <contributor>Bill Lorensen (GE)</contributor>
  <acknowledgements><![CDATA[This command module was derived from Insight/Examples/Filtering/MedianImageFilter (copyright) Insight Software Consortium]]></acknowledgements>
  <parameters>
    <label>Median Filter Parameters</label>
    <description><![CDATA[Parameters for the median filter]]></description>
    <integer-vector>
      <name>neighborhood</name>
      <longflag>--neighborhood</longflag>
      <description><![CDATA[The size of the neighborhood in each dimension]]></description>
      <label>Neighborhood Size</label>
      <default>1,1,1</default>
    </integer-vector>
  </parameters>
  <parameters>
    <label>IO</label>
    <description><![CDATA[Input/output parameters]]></description>
    <image>
      <name>inputVolume</name>
      <label>Input Volume</label>
      <channel>input</channel>
      <index>0</index>
      <description><![CDATA[Input volume to be filtered]]></description>
    </image>
    <image reference="inputVolume">
      <name>outputVolume</name>
      <label>Output Volume</label>
      <channel>output</channel>
      <index>1</index>
      <description><![CDATA[Output filtered]]></description>
    </image>
  </parameters>
</executable>
