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@ -1285,7 +1285,7 @@ smoothing kernels (a symmetrical kernel with sum of weights equal to 1) and hand |
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You may also use the higher-level GaussianBlur. |
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You may also use the higher-level GaussianBlur. |
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@param ksize Aperture size. It should be odd ( \f$\texttt{ksize} \mod 2 = 1\f$ ) and positive. |
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@param ksize Aperture size. It should be odd ( \f$\texttt{ksize} \mod 2 = 1\f$ ) and positive. |
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@param sigma Gaussian standard deviation. If it is non-positive, it is computed from ksize as |
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@param sigma Gaussian standard deviation. If it is non-positive, it is computed from ksize as |
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`sigma = 0.3\*((ksize-1)\*0.5 - 1) + 0.8`. |
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`sigma = 0.3*((ksize-1)*0.5 - 1) + 0.8`. |
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@param ktype Type of filter coefficients. It can be CV_32F or CV_64F . |
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@param ktype Type of filter coefficients. It can be CV_32F or CV_64F . |
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@sa sepFilter2D, getDerivKernels, getStructuringElement, GaussianBlur |
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@sa sepFilter2D, getDerivKernels, getStructuringElement, GaussianBlur |
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*/ |
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*/ |
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