Documentation/4.0/Modules/OtsuThresholdSegmentation

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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: Bill Lorensen
Contact: Bill Lorensen,

NA-MIC  
Surgical Planning Laboratory  

Module Description

This filter creates a labeled image from a grayscale image. First, it calculates an optimal threshold that separates the image into foreground and background. This threshold separates those two classes so that their intra-class variance is minimal (see http://en.wikipedia.org/wiki/Otsu%27s_method). Then the filter runs a connected component algorithm to generate unique labels for each connected region of the foreground. Finally, the resulting image is relabeled to provide consecutive numbering.


Use Cases

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Tutorials

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Panels and their use

Parameters:

  • Otsu Parameters
    • Bright objects: Segmenting bright objects on a dark background or dark objects on a bright background.
    • Number of Histogram Bins:

This is an advanced parameter. The number of bins in the histogram used to model the probability mass function of the two intensity distributions. Small numbers of bins may result in a more conservative threshold. The default should suffice for most applications. Experimentation is the only way to see the effect of varying this parameter.

  • ConnectedComponent Parameters
    • Face Connected: This is an advanced parameter. Adjacent voxels are face connected. This affects the connected component algorithm. If this parameter is false, more regions are likely to be identified.
  • Relabel Component Parameters
    • Minimum Object Size: Minimum size of object to retain. This parameter can be used to get rid of small regions in noisy images.
  • IO
    • Input Volume: Input volume to be segmented
    • Output Volume: Output filtered


Similar Modules

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References

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Information for Developers

[[Category:Documentation/4.0/Modules/
 Legacy.Segmentation
 |OtsuThresholdSegmentation]]
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