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This question is about linear filtering concepts using the built in filtering functions (it is not about edge detection methods). Load an MRI image and perform the following:
i. Apply a horizontal Sobel filter to the image and explain its effect.
ii. Apply a Vertical (transpose of above) Sobel filter to the image and explain its effect.
iii. Combine the resulting images of above 2 steps.
iv. Apply an unsharp filter to the image and explain its effect.
v. Find the frequency domain characteristics of the Unsharp and Sobel (horizontal) filters by plotting the 3-D mesh plots of their frequency responses.
Submit the Scilab code, your explanations, and the plots as answer to this question.
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To prove ‾P (1) = p n Solution : since in the above case we determine each term excluding B n,n (u) will have numerous of (1 - u) i (i = 0 to n) consequently by using u = 1
functions of valuator
Ask questionkms eey frame syst #Minimum 100 words accepted#
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