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HistogramDistance


Module: FoundationBasic

Computes the numeric distance between two histograms.

Name Type Description
Input value
inHistogram1 Histogram First input histogram
Input value
inHistogram2 Histogram Second input histogram
Input value
inDistanceMeasure DistanceMeasure Measure of distance
Output value
outDistance Double Output distance value

Description

The operation computes the approximate difference between two histograms using the selected distance measure.

  • If the inDistanceMeasure is set to MeanError then the resulting outDistance is the average difference between corresponding bins of the histograms.
  • If the inDistanceMeasure is set to MeanSquaredError then the resulting outDistance is the average squared difference between corresponding bins of the histograms.

Examples

Mean Squared Error between the sample histograms equals 68302.590.

Mean Squared Error between the sample histograms equals 3043686.

Remarks

  • inHistogram1 and inHistogram2 must have the same BinSizes, otherwise an error with appropriate description occurs.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Empty histograms on input in HistogramDistance.
DomainError Inconsistent histogram bin sizes / domains in HistogramDistance.
DomainError Not supported DistanceMeasure in HistogramDistance.

Complexity Level

This filter is available on Basic Complexity Level.

See Also

  • ImageHistogram – Computes the histogram of the image pixel values.