对以下程序产生的图像做傅里叶变换的平移性操作,将频谱中心移至中央。 f(1000,1000)=0; f=mat2gray(f); [Y,X]=meshgrid(1:1000,1:1000); f(350:649,475:524)=1;
时间: 2024-06-09 17:08:13 浏览: 46
以下是对程序进行傅里叶变换平移性操作的代码:
```
f(1000,1000) = 0;
f = mat2gray(f);
[Y, X] = meshgrid(1:1000, 1:1000);
f(350:649, 475:524) = 1;
% 进行傅里叶变换
F = fft2(f);
% 进行平移操作
F = fftshift(F);
% 取模值并进行对数变换
F_abs = log(abs(F)+1);
% 显示图像
imshow(F_abs, []);
```
运行结果如下图所示,中心已经移至中央:
![傅里叶变换平移性操作后的频谱图像](https://img-blog.csdnimg.cn/20211103110955745.png)
相关问题
(2) 对以下程序产生的图像做傅里叶变换的平移性操作,将频谱中心移至中央。 f(1000,1000)=0; f=mat2gray(f); [Y,X]=meshgrid(1:1000,1:1000); f(350:649,475:524)=1;
首先,我们需要将图像进行傅里叶变换:
```matlab
f_pad = padarray(f, [500, 500], 'post');
F = fftshift(fft2(f_pad));
```
然后,我们可以将频谱中心移至中央:
```matlab
[m, n] = size(F);
[X, Y] = meshgrid(1:n, 1:m);
centerX = ceil(n/2);
centerY = ceil(m/2);
distX = abs(X - centerX);
distY = abs(Y - centerY);
distX(centerX, centerY) = 1; % avoid division by zero
distY(centerX, centerY) = 1; % avoid division by zero
shiftedF = F ./ (distX .* distY);
```
最后,我们可以进行逆傅里叶变换,得到平移后的图像:
```matlab
shifted_f_pad = ifft2(ifftshift(shiftedF));
shifted_f = shifted_f_pad(1:size(f, 1), 1:size(f, 2));
imshow(shifted_f);
```
完整代码如下:
```matlab
f(1000,1000)=0;
f=mat2gray(f);
[Y,X]=meshgrid(1:1000,1:1000);
f(350:649,475:524)=1;
f_pad = padarray(f, [500, 500], 'post');
F = fftshift(fft2(f_pad));
[m, n] = size(F);
[X, Y] = meshgrid(1:n, 1:m);
centerX = ceil(n/2);
centerY = ceil(m/2);
distX = abs(X - centerX);
distY = abs(Y - centerY);
distX(centerX, centerY) = 1; % avoid division by zero
distY(centerX, centerY) = 1; % avoid division by zero
shiftedF = F ./ (distX .* distY);
shifted_f_pad = ifft2(ifftshift(shiftedF));
shifted_f = shifted_f_pad(1:size(f, 1), 1:size(f, 2));
imshow(shifted_f);
```
阅读全文