Documentation/4.1/Modules/LabelMapSmoothing

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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: FIRSTNAME LASTNAME, AFFILIATION
Contributor1: FIRSTNAME LASTNAME, AFFILIATION
Contributor2: FIRSTNAME LASTNAME, AFFILIATION
Contact: FIRSTNAME LASTNAME, <email>john@doe.org</email>

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Module Description

This filter smoothes a binary label map. With a label map as input, this filter runs an anti-alising algorithm followed by a Gaussian smoothing algorithm. The output is a smoothed label map.


Use Cases

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Tutorials

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Panels and their use

Parameters:

  • Label Selection Parameters
    • Label to smooth: The label to smooth. All others will be ignored. If no label is selected by the user, the maximum label in the image is chosen by default.
  • AntiAliasing Parameters
    • Number of Iterations: The number of iterations of the level set AntiAliasing algorithm
    • Maximum RMS Error: The maximum RMS error.
  • Gaussian Smoothing Parameters
    • Sigma: The standard deviation of the Gaussian kernel
  • IO
    • Input Volume: Input label map to smooth
    • Output Volume: Smoothed label map


Similar Modules

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References

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Information for Developers

[[Category:Documentation/4.1/Modules/

 Surface Models
 |LabelMapSmoothing]]