From 803ff8ebb9ed7960c28e28c6e11e77a783f77d0a Mon Sep 17 00:00:00 2001 From: Shreyas Taware Date: Wed, 7 Jul 2021 14:40:08 +0530 Subject: [PATCH] Update py_canny.markdown Fixed a word that was previously written as third argument but it is instead the fourth argument of cv.Canny() function --- doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown b/doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown index cbc2a72..d36e578 100644 --- a/doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown +++ b/doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown @@ -74,7 +74,7 @@ Canny Edge Detection in OpenCV OpenCV puts all the above in single function, **cv.Canny()**. We will see how to use it. First argument is our input image. Second and third arguments are our minVal and maxVal respectively. -Third argument is aperture_size. It is the size of Sobel kernel used for find image gradients. By +Fourth argument is aperture_size. It is the size of Sobel kernel used for find image gradients. By default it is 3. Last argument is L2gradient which specifies the equation for finding gradient magnitude. If it is True, it uses the equation mentioned above which is more accurate, otherwise it uses this function: \f$Edge\_Gradient \; (G) = |G_x| + |G_y|\f$. By default, it is False. -- 2.7.4