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In the last video we talked about sobel edge detection. Okay. Sobel operator is a kernal convolution process we can use and it returns a high response where theres a sharp change in gradient image and low response where there isnt. its generally well on grayscale images that we first blurred just to make sure things are nice and smooth it also handily produces an orientation at every point ya know with which tells us from north in image, upwards to downwards, left and right what direction is our edge facing and that can be really useful for post-processing this image so thats what we gonna talk about now the canny edge detector is essentially takes a Sobel operator and makes it just a step better ,a step more useful perhaps. For edge analysis which is to get rid of the edges that were not really interested and keep only the really good stuff the Canny edge detector was published in 1986 and the input of a Canny operator is simply the output of Sobel. Okay, so weve taken over im
