1
0
mirror of https://github.com/opencv/opencv.git synced 2026-07-30 07:43:03 +04:00

FIx misc. source and comment typos

Found via `codespell -q 3 -S ./3rdparty,./modules -L amin,ang,atleast,dof,endwhile,hist,uint`
This commit is contained in:
luz.paz
2019-08-14 13:33:49 -04:00
parent dbf8e22fad
commit 32aba5e64b
28 changed files with 36 additions and 36 deletions
@@ -157,7 +157,7 @@ already known by now.
- *src*: Source image
- *dst*: Destination image
- *Size(w, h)*: The size of the kernel to be used (the neighbors to be considered). \f$w\f$ and
\f$h\f$ have to be odd and positive numbers otherwise thi size will be calculated using the
\f$h\f$ have to be odd and positive numbers otherwise the size will be calculated using the
\f$\sigma_{x}\f$ and \f$\sigma_{y}\f$ arguments.
- \f$\sigma_{x}\f$: The standard deviation in x. Writing \f$0\f$ implies that \f$\sigma_{x}\f$ is
calculated using kernel size.
@@ -30,7 +30,7 @@ Two of the most basic morphological operations are dilation and erosion. Dilatio
![Dilation on a Grayscale Image](images/morph6.gif)
- __Erosion__: The vise versa applies for the erosion operation. The value of the output pixel is the <b><em>minimum</em></b> value of all the pixels that fall within the structuring element's size and shape. Look the at the example figures below:
- __Erosion__: The vice versa applies for the erosion operation. The value of the output pixel is the <b><em>minimum</em></b> value of all the pixels that fall within the structuring element's size and shape. Look the at the example figures below:
![Erosion on a Binary Image](images/morph211.png)