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An image filter is something that takes an image proaches it in some way and outputs an image in response So last time we talked about Kernel convolution And I did Gaussian Blur and mean Blur as a couple of examples of a sort of thing you can convey over an image today Were going to talk a little bit about a different type of Kernel convolution that is the edge detection The process will be using in this video is still Kernel convolution like we used in the last video So if you havent seen that video you might want to go back just to sort of make sure you absolutely know whats going on Edge Detection is simply a case of trying to find the regions in an image where we have a sharp change in intensity or a Sharp change in color a high value indicates a steep change and a low value indicates a shallow change A Very common operator for doing this is a sobel operator what it is is an approximation to a derivative of an image So theres its separate in the y and the x directions so if w