Question: Please help with exercise 2) with reference to question 1) in the second picture This figure is the figure to be processed. Thank you [2]

 Please help with exercise 2) with reference to question 1) in
Please help with exercise 2) with reference to question 1) in the second picture the second picture This figure is the figure to be processed. Thank
This figure is the figure to be processed.
you [2] (Detect edges by gradient) Download Fig5.26a and plot a gradient
Thank you

[2] (Detect edges by gradient) Download Fig5.26a and plot a gradient image g by using following formula af (x, y) af (x,y) g(0,y) = f(x,y) ay and the Sobel operators to approximate the gradient magnitude. (You need to rescale g by using the formula you obtained in HW2 Problem 1, or use imagesc() to plot the output image). You should turn in the details of the method, the computer program, the input and output images, explanation of your result. Ignore the pixels on the boundary of the image for simplicity when computing the discrete gradient. (1) Give a single intensity transformation function T for spreading the intensities of an image so the lowest intensity is 0 and the highest is L - 1. denotes the original image intensities, Smin denotes the minimum value of f and fmar denotes the maximum value of f. Digital Image Processing [2] (Detect edges by gradient) Download Fig5.26a and plot a gradient image g by using following formula af (x, y) af (x,y) g(0,y) = f(x,y) ay and the Sobel operators to approximate the gradient magnitude. (You need to rescale g by using the formula you obtained in HW2 Problem 1, or use imagesc() to plot the output image). You should turn in the details of the method, the computer program, the input and output images, explanation of your result. Ignore the pixels on the boundary of the image for simplicity when computing the discrete gradient. (1) Give a single intensity transformation function T for spreading the intensities of an image so the lowest intensity is 0 and the highest is L - 1. denotes the original image intensities, Smin denotes the minimum value of f and fmar denotes the maximum value of f. Digital Image Processing

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