Documentation/4.0/Modules/OtsuThresholdImageFilter
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Introduction and Acknowledgements
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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. | |||||
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Module Description
Legacy.Filtering Otsu Threshold Image Filter This filter creates a binary thresholded image that separates an image into foreground and background components. The filter calculates the optimum threshold separating those two classes so that their combined spread (intra-class variance) is minimal (see http://en.wikipedia.org/wiki/Otsu%27s_method). Then the filter applies that threshold to the input image using the itkBinaryThresholdImageFilter. The numberOfHistogram bins can be set for the Otsu Calculator. The insideValue and outsideValue can be set for the BinaryThresholdImageFilter. The filter produces a labeled volume.\n\nThe original reference is: \n\nN.Otsu, ‘‘A threshold selection method from gray level histograms,’’ IEEE Trans.Syst.ManCybern.SMC-9,62–66 1979. 0.1.0.$Revision$(alpha) http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.0/Modules/OtsuThresholdImageFilter This command module was derived from Insight/Examples (copyright) Insight Software Consortium Bill Lorensen
Otsu Threshold Parameters Parameters for Otsu Thresholding
insideValue
--insideValue
The value assigned to pixels that are inside the computed threshold
Inside Value
0
outsideValue
--outsideValue
The value assigned to pixels that are outside the computed threshold
Outside Value
255
numberOfBins
--numberOfBins
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.
Number of Histogram Bins
128
IO
Input/output parameters
inputVolume
Input Volume
input
0
Input volume to be filtered
outputVolume
Output Volume
output
1
Output filtered
Use Cases
 CT Grayscale Data |
 After OtsuThresholdFilter applied with default settings |
Tutorials
N/A
Panels
Parameters:
Legacy.Filtering Otsu Threshold Image Filter This filter creates a binary thresholded image that separates an image into foreground and background components. The filter calculates the optimum threshold separating those two classes so that their combined spread (intra-class variance) is minimal (see http://en.wikipedia.org/wiki/Otsu%27s_method). Then the filter applies that threshold to the input image using the itkBinaryThresholdImageFilter. The numberOfHistogram bins can be set for the Otsu Calculator. The insideValue and outsideValue can be set for the BinaryThresholdImageFilter. The filter produces a labeled volume.\n\nThe original reference is: \n\nN.Otsu, ‘‘A threshold selection method from gray level histograms,’’ IEEE Trans.Syst.ManCybern.SMC-9,62–66 1979. 0.1.0.$Revision$(alpha) http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.0/Modules/OtsuThresholdImageFilter This command module was derived from Insight/Examples (copyright) Insight Software Consortium Bill Lorensen
Otsu Threshold Parameters Parameters for Otsu Thresholding
insideValue
--insideValue
The value assigned to pixels that are inside the computed threshold
Inside Value
0
outsideValue
--outsideValue
The value assigned to pixels that are outside the computed threshold
Outside Value
255
numberOfBins
--numberOfBins
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.
Number of Histogram Bins
128
IO
Input/output parameters
inputVolume
Input Volume
input
0
Input volume to be filtered
outputVolume
Output Volume
output
1
Output filtered
Similar Modules
N/A
References
N/A
Information for Developers
 |
Section under construction. |
Legacy.Filtering Otsu Threshold Image Filter This filter creates a binary thresholded image that separates an image into foreground and background components. The filter calculates the optimum threshold separating those two classes so that their combined spread (intra-class variance) is minimal (see http://en.wikipedia.org/wiki/Otsu%27s_method). Then the filter applies that threshold to the input image using the itkBinaryThresholdImageFilter. The numberOfHistogram bins can be set for the Otsu Calculator. The insideValue and outsideValue can be set for the BinaryThresholdImageFilter. The filter produces a labeled volume.\n\nThe original reference is: \n\nN.Otsu, ‘‘A threshold selection method from gray level histograms,’’ IEEE Trans.Syst.ManCybern.SMC-9,62–66 1979. 0.1.0.$Revision$(alpha) http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.0/Modules/OtsuThresholdImageFilter This command module was derived from Insight/Examples (copyright) Insight Software Consortium Bill Lorensen
Otsu Threshold Parameters Parameters for Otsu Thresholding
insideValue
--insideValue
The value assigned to pixels that are inside the computed threshold
Inside Value
0
outsideValue
--outsideValue
The value assigned to pixels that are outside the computed threshold
Outside Value
255
numberOfBins
--numberOfBins
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.
Number of Histogram Bins
128
IO
Input/output parameters
inputVolume
Input Volume
input
0
Input volume to be filtered
outputVolume
Output Volume
output
1
Output filtered
|OtsuThresholdImageFilter]]
