课程主页:https://see.stanford.edu/Course/EE261
这次回顾Problem Set 9。
Problem 1
取逆变换可得
Problem 2
注意汉高变换为
考虑$g(ar)$的汉高变换
Problem 3
(a)
(b)注意到我们有
所以
从而
(c)
所以
(d)
取傅里叶变换可得
Problem 4
(a)
(b)
(c)
(d)
Problem 5
(a)考虑$f$第$m$行$f_m[l]$,我们有
那么
所以可以先利用FFT计算$mathcal F f_m[l] $,然后再利用FFT计算二维的结果。
(b)
(c)
Problem 6
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data = imread("dog.jpg"); Max = 255; data = im2double(data); imshow(data);
data_new = treat(data); figure(1) imshow(data_new);
i = 2; F = 0.5: -0.05: 0.1; [Xmax ,Ymax] = size(data); for f = 0.5: -0.05: 0.1 h = LP_filter(Xmax, Ymax, f); data1 = real(ifft2(fft2(data) .* h)); data_new = treat(data1); figure(i); suptitle(sprintf('Initial Image with Object Boundaries (f=%g)', f)); imshowpair(data1, data_new, 'montage'); i = i + 1; end
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函数treat:
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function = treat(data)
Max = 255; Bx = [0, 0, 0; 1, -1, 0; 0, 0, 0]; By = [0, 1, 0; 0, -1, 0; 0, 0, 0]; datax = Max * conv2(data, Bx, 'same'); datay = Max * conv2(data, By, 'same'); data_new = data; data_new(abs(datax) > 10) = 1; data_new(abs(datay) > 10) = 1;
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