From c63a6c472ddb232acbddf6e2d2d677490b057039 Mon Sep 17 00:00:00 2001 From: Zhuo Zhang Date: Mon, 21 Nov 2022 10:44:12 +0800 Subject: [PATCH] fix typo: Gausssian to Gaussian --- .../js_imgproc/js_gradients/js_gradients.markdown | 4 ++-- .../py_imgproc/py_gradients/py_gradients.markdown | 2 +- modules/video/src/bgfg_gaussmix2.cpp | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/doc/js_tutorials/js_imgproc/js_gradients/js_gradients.markdown b/doc/js_tutorials/js_imgproc/js_gradients/js_gradients.markdown index 21e36a0bd9..e97f93a78f 100644 --- a/doc/js_tutorials/js_imgproc/js_gradients/js_gradients.markdown +++ b/doc/js_tutorials/js_imgproc/js_gradients/js_gradients.markdown @@ -15,7 +15,7 @@ We will see each one of them. ### 1. Sobel and Scharr Derivatives -Sobel operators is a joint Gausssian smoothing plus differentiation operation, so it is more +Sobel operators is a joint Gaussian smoothing plus differentiation operation, so it is more resistant to noise. You can specify the direction of derivatives to be taken, vertical or horizontal (by the arguments, yorder and xorder respectively). You can also specify the size of kernel by the argument ksize. If ksize = -1, a 3x3 Scharr filter is used which gives better results than 3x3 Sobel @@ -97,4 +97,4 @@ Try it -\endhtmlonly \ No newline at end of file +\endhtmlonly diff --git a/doc/py_tutorials/py_imgproc/py_gradients/py_gradients.markdown b/doc/py_tutorials/py_imgproc/py_gradients/py_gradients.markdown index 9b07d14f50..0a52cd431c 100644 --- a/doc/py_tutorials/py_imgproc/py_gradients/py_gradients.markdown +++ b/doc/py_tutorials/py_imgproc/py_gradients/py_gradients.markdown @@ -17,7 +17,7 @@ We will see each one of them. ### 1. Sobel and Scharr Derivatives -Sobel operators is a joint Gausssian smoothing plus differentiation operation, so it is more +Sobel operators is a joint Gaussian smoothing plus differentiation operation, so it is more resistant to noise. You can specify the direction of derivatives to be taken, vertical or horizontal (by the arguments, yorder and xorder respectively). You can also specify the size of kernel by the argument ksize. If ksize = -1, a 3x3 Scharr filter is used which gives better results than 3x3 Sobel diff --git a/modules/video/src/bgfg_gaussmix2.cpp b/modules/video/src/bgfg_gaussmix2.cpp index 69e4baf657..8e12634bd9 100644 --- a/modules/video/src/bgfg_gaussmix2.cpp +++ b/modules/video/src/bgfg_gaussmix2.cpp @@ -47,7 +47,7 @@ //International Conference Pattern Recognition, UK, August, 2004 //http://www.zoranz.net/Publications/zivkovic2004ICPR.pdf //The code is very fast and performs also shadow detection. -//Number of Gausssian components is adapted per pixel. +//Number of Gaussian components is adapted per pixel. // // and // @@ -97,7 +97,7 @@ namespace cv http://www.zoranz.net/Publications/zivkovic2004ICPR.pdf Advantages: - -fast - number of Gausssian components is constantly adapted per pixel. + -fast - number of Gaussian components is constantly adapted per pixel. -performs also shadow detection (see bgfg_segm_test.cpp example) */