a) We compute the gradient on an image using a differentiating kernel that we call Sobel kernel. We also prefer to run a Gaussian filter over the image before we compute the gradient. Explain (i) why we use a Gaussian filter before computing the gradient, (il) how we make this double filtering process computationally more efficient, and (ili) how we compute the gradient direction at a pixel.

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A: The answer is

Q: An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then…

A: Given:   Input image size(WxH) = 140x140  Filter kernel size(F) = 20x20

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A: Biology

Q: An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then…

A: The answer is

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Q: An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then…

A: The Answer is in Below Steps

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A: The answer is

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