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Update py_canny.markdown

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Fixed a word that was previously written as third argument but it is instead the fourth argument of cv.Canny() function
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Shreyas Taware 2021-07-07 14:40:08 +05:30
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commit 803ff8ebb9
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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 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. 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 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 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. uses this function: \f$Edge\_Gradient \; (G) = |G_x| + |G_y|\f$. By default, it is False.