Image Processing. With either python or matlab.

B. (20 points) Perform edge detection at different scales using a Laplacian Pyramid implemented through differences of Gaussians at different scales. In your results, explain how the Laplacian Pyramid was obtained (what scales did you consider for the Gaussians and why) and how did you perform the edge detection using the Laplacian pyramid. Show how other values for the parameters would have changed the results. Furthermore, compare your results with the results obtain for edge detection by just applying the Laplacian of Gaussian (LoG) transform. Some requirements: 1. You must implement a coarse-to-fine strategy. That is, search for edges first at the coarsest resolution of your pyramid, and use those edges to refine your search for edges at finer resolutions. 2. Keep in mind that Laplacian edge finding is based on zero crossings, so do not use any first order filters (e.g. Sobel) or edge finding strategies (e.g. Canny). 3. You can use built in Laplacian edge finding functions but you must create and process the pyramid using your own code. 4. Remember to compare the results of the pyramid analysis with an analysis of the image directly. Again, for the latter result, you can use a built in function. How are the edges different when you use the pyramid