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medpy.metric.histogram.noelle_3

medpy.metric.histogram.noelle_3(h1, h2)[source]

Extension of fidelity_based proposed by [R21].

\[d_{\log(2-F)}(H, H') = \log(2 - d_{F}(H, H'))\]

See fidelity_based for the definition of \(d_{F}(H, H')\).

Attributes:

  • semimetric

Attributes for normalized histograms:

  • \(d(H, H')\in[0, log(2)]\)
  • \(d(H, H) = 0\)
  • \(d(H, H') = d(H', H)\)

Attributes for not-normalized histograms:

  • not applicable

Attributes for not-equal histograms:

  • not applicable
Parameters:

h1 : sequence

The first histogram, normalized.

h2 : sequence

The second histogram, normalized, same bins as h1.

Returns:

fidelity_based : float

Fidelity based distance.

References

[R21](1, 2)
  1. Noelle “Distribution Distance Measures Applied to 3-D Object Recognition”, 2003