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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
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@ -74,7 +74,7 @@ Canny Edge Detection in OpenCV
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OpenCV puts all the above in single function, **cv.Canny()**. We will see how to use it. First
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argument is our input image. Second and third arguments are our minVal and maxVal respectively.
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Third argument is aperture_size. It is the size of Sobel kernel used for find image gradients. By
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Fourth argument is aperture_size. It is the size of Sobel kernel used for find image gradients. By
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default it is 3. Last argument is L2gradient which specifies the equation for finding gradient
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magnitude. If it is True, it uses the equation mentioned above which is more accurate, otherwise it
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uses this function: \f$Edge\_Gradient \; (G) = |G_x| + |G_y|\f$. By default, it is False.
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