Modules:MedianFilter-Documentation-3.6

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Gallery of New Features

Module Name

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General Information

Module Type & Category

Type: CLI

Category: Filtering.Denoising

Authors, Collaborators & Contact

• Author: Bill Lorensen
• Contact: bill.lorensen at gmail.com

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.

Usage

Examples, Use Cases & Tutorials

• This module is used to reduce noise in an image. It is most effective in reducing additive salt-and-pepper noise without grossly shift the edge structures. It may, however, remove thin structures such as thin vessels when the "Neighborhood Size" is too big.

• A command line example of running this module is

MedianImageFilter 
 --neighborhood 1,1,1 
 CTHeadAxial.nhdr MedianImageFilterTest.nhdr

Quick Tour of Features and Use

• Input/output panel:

• Parameters panel:

• Viewing panel:

Development

Dependencies

Other modules or packages that are required for this module's use.

Known bugs

Follow this link to the Slicer3 bug tracker.

Usability issues

Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.

Source code & documentation

Source Code: [1]

Documentation:

More Information

Acknowledgment

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from National Centers for Biomedical Computing.