KL Divergence 1.5 RC (KL_Divergence)

IACL.Measurement.Statistics

[edu.jhu.ece.iacl.plugins.utilities.math.MedicAlgorithmKLDivergence]

Description

Computes KL divergence between two histograms using kernel density estimation.


Notes

Computes KL divergence between two histograms using kernel density estimation.

Inputs

Name Default Type File Extension Description
Histogram X unknownObject
  • txt
  • csv
Histogram X
Histogram Y unknownObject
  • txt
  • csv
Histogram Y
Image Width 800Integer - Image Width
Image Height 600Integer - Image Height
Kernel Size 1Double - Kernel Size
Measurement Name valueString - Measurement Name
Probability in Log Scale trueBoolean - Probability in Log Scale


Outputs

Name Type File Extension Description
Histogram Image Volume
  • dim{X,Y,Z,1}
  • type{COLOR_FLOAT}
tiff Histogram Image
KL Divergence Double - KL Divergence
Execution Time Performance - Execution Time


Last modified by VANDERBILT\landmaba on Thu, 21 Jan 2010 14:27:27 CST