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Revert changes of mean and meanStdDev

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This commit is contained in:
Christof Kaufmann
2017-09-17 21:00:28 +02:00
parent 46a668c565
commit 7ec59fc097
4 changed files with 133 additions and 311 deletions
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modules/core/include/opencv2/core.hpp
+2 -2
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@@ -608,7 +608,7 @@ CV_EXPORTS_W void findNonZero( InputArray src, OutputArray idx );
The function cv::mean calculates the mean value M of array elements,
independently for each channel, and return it:
\f[\begin{array}{l} N_c = \sum _{I: \; {\texttt{mask} (I)_c} \ne 0} 1 \\ M_c = \left ( \sum _{I: \; {\texttt{mask} (I)_c} \ne 0}{ \texttt{src} (I)_c} \right )/N_c \end{array}\f]
\f[\begin{array}{l} N = \sum _{I: \; \texttt{mask} (I) \ne 0} 1 \\ M_c = \left ( \sum _{I: \; \texttt{mask} (I) \ne 0}{ \texttt{mtx} (I)_c} \right )/N \end{array}\f]
When all the mask elements are 0's, the function returns Scalar::all(0)
@param src input array that should have from 1 to 4 channels so that the result can be stored in
Scalar_ .
@@ -622,7 +622,7 @@ CV_EXPORTS_W Scalar mean(InputArray src, InputArray mask = noArray());
The function cv::meanStdDev calculates the mean and the standard deviation M
of array elements independently for each channel and returns it via the
output parameters:
\f[\begin{array}{l} N_c = \sum _{I, {\texttt{mask} (I)_c} \ne 0} 1 \\ \texttt{mean} _c = \frac{\sum_{ I: \; {\texttt{mask} (I)_c} \ne 0} \texttt{src} (I)_c}{N_c} \\ \texttt{stddev} _c = \sqrt{\frac{\sum_{ I: \; {\texttt{mask} (I)_c} \ne 0} \left ( \texttt{src} (I)_c - \texttt{mean} _c \right )^2}{N_c}} \end{array}\f]
\f[\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}\f]
When all the mask elements are 0's, the function returns
mean=stddev=Scalar::all(0).
@note The calculated standard deviation is only the diagonal of the