pull/13383/head
Alexander Shishkov 13 years ago
parent e64450ae89
commit 5c10bd5b79
  1. 2
      modules/core/doc/operations_on_arrays.rst

@ -1649,7 +1649,7 @@ The function ``meanStdDev`` computes the mean and the standard deviation ``M`` o
.. math::
\begin{array}{l} N = \sum _{I, \texttt{mask} (I) \ne 0} 1 \\ \texttt{mean} _c = \frac{\sum_{ I: \; \texttt{mask}(I) \ne 0} \texttt{src} (I)_c}{N} \\ \texttt{stddev} _c = \sqrt{\sum_{ I: \; \texttt{mask}(I) \ne 0} \left ( \texttt{src} (I)_c - \texttt{mean} _c \right )^2} \end{array}
\begin{array}{l} N = \sum _{I, \texttt{mask} (I) \ne 0} 1 \\ \texttt{mean} _c = \frac{\sum_{ I: \; \texttt{mask}(I) \ne 0} \texttt{src} (I)_c}{N} \\ \texttt{stddev} _c = \sqrt{\frac{\sum_{ I: \; \texttt{mask}(I) \ne 0} \left ( \texttt{src} (I)_c - \texttt{mean} _c \right )^2}{N}} \end{array}
When all the mask elements are 0's, the functions return ``mean=stddev=Scalar::all(0)`` .

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