From 5feb1c94a7d931c4f49b012869ffb7f2b5b7aa01 Mon Sep 17 00:00:00 2001 From: Pushkal Katara Date: Mon, 30 Oct 2017 17:55:40 +0530 Subject: [PATCH] Documentation Update Resolves - https://github.com/opencv/opencv/issues/9928 --- .../gausian_median_blur_bilateral_filter.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/gausian_median_blur_bilateral_filter.markdown b/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/gausian_median_blur_bilateral_filter.markdown index e915d04b94..e8f678c57f 100644 --- a/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/gausian_median_blur_bilateral_filter.markdown +++ b/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/gausian_median_blur_bilateral_filter.markdown @@ -66,7 +66,7 @@ Applications](http://szeliski.org/Book/) by Richard Szeliski and to *LearningOpe @note Remember that a 2D Gaussian can be represented as : \f[G_{0}(x, y) = A e^{ \dfrac{ -(x - \mu_{x})^{2} }{ 2\sigma^{2}_{x} } + \dfrac{ -(y - \mu_{y})^{2} }{ 2\sigma^{2}_{y} } }\f] - where \f$\mu\f$ is the mean (the peak) and \f$\sigma\f$ represents the variance (per each of the + where \f$\mu\f$ is the mean (the peak) and \f$\sigma^{2}\f$ represents the variance (per each of the variables \f$x\f$ and \f$y\f$) ### Median Filter