Mahalanobis

Core and matricesfunctionOpenCV 5.0.0

import { Mahalanobis } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

ARGUMENTSv1, v2, icovar

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FUNCTIONMahalanobis

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RETURN TYPEnumber

Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

Calculates the Mahalanobis distance between two vectors.

The function cv::Mahalanobis calculates and returns the weighted distance between two vectors:

d( \texttt{vec1} , \texttt{vec2} )= \sqrt{\sum_{i,j}{\texttt{icovar(i,j)}\cdot(\texttt{vec1}(I)-\texttt{vec2}(I))\cdot(\texttt{vec1(j)}-\texttt{vec2(j)})} }

The covariance matrix may be calculated using the #calcCovarMatrix function and then inverted using the invert function (preferably using the #DECOMP_SVD method, as the most accurate).

Mahalanobis(v1: Mat, v2: Mat, icovar: Mat): number;

v1

first 1D input vector.

v2

second 1D input vector.

icovar

inverse covariance matrix.

Returns

The number result.

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.