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Merge pull request #20369 from shreyastaware:master

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Alexander Alekhin 2021-07-24 13:41:01 +00:00
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doc/py_tutorials/py_imgproc/py_canny/py_canny.markdown
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@ -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.