Hello everyone,
I have two questions regarding ITK Gradient Magnitude Recursive Gaussian Image Filter: 1) In this filter, as far as we know, a finite difference approach is used to calculate gradient magnitude of an image. My question is what formula is used by the finite difference approach implemented in this filter? 2) The ITK Software Guide tells us that the computation process of this filter is equivalent to first smoothing the image by convolving it with a Gaussian kernel and then applying a differential operator. My question is that is there a way to get an output of the smoothed image? I want to visualize the computation process. If any of you have any idea regarding the two questions, it would be very appreciated if you share it with me. Thank you in advance. Best regards, Yang
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