Difference between revisions of "ECE 280/Imaging Lab 2"
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− | This page serves as a supplement to the second Digital Image Processing Labs for ECE 280 | + | This page serves as a supplement to the second Digital Image Processing Labs for ECE 280. This worksheet assumes you have done everything necessary to successfully complete [[ECE 280/Imaging Lab 1 | Imaging Lab 1]], including working with MATLAB and understanding basic image processing commands in MATLAB. |
== Corrections / Clarifications to the Handout == | == Corrections / Clarifications to the Handout == | ||
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<gallery> | <gallery> | ||
File:IP2 E4a Plot1.png|Xm=[15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | File:IP2 E4a Plot1.png|Xm=[15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | ||
− | File:IP2 E4a Plot2.png|Xm=[0, 7.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7.5] | + | File:IP2 E4a Plot2.png|Xm=[0, 7.5/j, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7.5/j] |
− | File:IP2 E4a Plot3.png|Xm=[0, 0, 7.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7.5, 0] | + | File:IP2 E4a Plot3.png|Xm=[0, 0, 7.5/j, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7.5/j, 0] |
− | File:IP2 E4a Plot4.png|Xm=[0, 0, 0, 7.5, 0, 0, 0, 0, 0, 0, 0, 0, 7.5, 0, 0] | + | File:IP2 E4a Plot4.png|Xm=[0, 0, 0, 7.5/j, 0, 0, 0, 0, 0, 0, 0, 0, -7.5/j, 0, 0] |
</gallery> | </gallery> | ||
<gallery> | <gallery> | ||
− | File:IP2 E4a Plot5.png|Xm=[0, 0, 0, 0, 7.5, 0, 0, 0, 0, 0, 0, 7.5, 0, 0, 0] | + | File:IP2 E4a Plot5.png|Xm=[0, 0, 0, 0, 7.5/j, 0, 0, 0, 0, 0, 0, -7.5/j, 0, 0, 0] |
− | File:IP2 E4a Plot6.png|Xm=[0, 0, 0, 0, 0, 7.5, 0, 0, 0, 0, 7.5, 0, 0, 0, 0] | + | File:IP2 E4a Plot6.png|Xm=[0, 0, 0, 0, 0, 7.5/j, 0, 0, 0, 0, -7.5/j, 0, 0, 0, 0] |
− | File:IP2 E4a Plot7.png|Xm=[0, 0, 0, 0, 0, 0, 7.5, 0, 0, 7.5, 0, 0, 0, 0, 0] | + | File:IP2 E4a Plot7.png|Xm=[0, 0, 0, 0, 0, 0, 7.5/j, 0, 0, -7.5/j, 0, 0, 0, 0, 0] |
− | File:IP2 E4a Plot8.png|Xm=[0, 0, 0, 0, 0, 0, 0, 7.5, 7.5, 0, 0, 0, 0, 0, 0] | + | File:IP2 E4a Plot8.png|Xm=[0, 0, 0, 0, 0, 0, 0, 7.5/j, -7.5/j, 0, 0, 0, 0, 0, 0] |
</gallery> | </gallery> | ||
− | |||
=== Example 5: MATLAB fft2 and ifft2 for Even Dimensions === | === Example 5: MATLAB fft2 and ifft2 for Even Dimensions === | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
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+ | [[Category:ECE 280]] |
Latest revision as of 21:15, 2 May 2023
This page serves as a supplement to the second Digital Image Processing Labs for ECE 280. This worksheet assumes you have done everything necessary to successfully complete Imaging Lab 1, including working with MATLAB and understanding basic image processing commands in MATLAB.
Contents
- 1 Corrections / Clarifications to the Handout
- 2 Links
- 3 Examples
- 3.1 Example 1: Signal Analysis
- 3.2 Example 2: MATLAB fft
- 3.3 Example 3: MATLAB fft2 and ifft2
- 3.4 Example 4: One-Dimensional Frequency Mapping
- 3.5 Example 4a: One-Dimensional Frequency Mapping (Odd Symmetry)
- 3.6 Example 5: MATLAB fft2 and ifft2 for Even Dimensions
- 3.7 Example 6: FFT of Coins
- 3.8 Example 7: Round LPF Applied to Coins
- 3.9 Example 8: Rectangular LPF Applied to Coins
- 3.10 Example 9: Rectangular HPF Applied to Coins
Corrections / Clarifications to the Handout
- None yet
Links
Examples
The following sections will contain both the example programs given in the lab as well as the image or images they produce. You should still type these into your own version of MATLAB to make sure you are getting the same answers. These are provided so you can compare what you get with what we think you should get.
Example 1: Signal Analysis
Since the point of Exercise 1 is to write the code to perform the calculations in this example, we'll.. just move right along to...
Example 2: MATLAB fft
x = [1, 5, 2, 3, 1]
X = fft(x)
yields
[12.0000 + 0.0000i, -1.1910 - 3.2164i, -2.3090 - 3.3022i, -2.3090 + 3.3022i, -1.1910 + 3.2164i
Example 3: MATLAB fft2 and ifft2
clear
x1 = [1, 1; 1, 1]
x2 = [1, 1; 0, 0]
x3 = [1, 0; 1, 0]
x4 = [1, 0; 0, 1]
X1=fft2(x1)
X2=fft2(x2)
X3=fft2(x3)
X4=fft2(x4)
x1a = ifft2(X1)
x2a = ifft2(X2)
x3a = ifft2(X3)
x4a = ifft2(X4)
yields:
x1 =
1 1
1 1
x2 =
1 1
0 0
x3 =
1 0
1 0
x4 =
1 0
0 1
X1 =
4 0
0 0
X2 =
2 0
2 0
X3 =
2 2
0 0
X4 =
2 0
0 2
x1a =
1 1
1 1
x2a =
1 1
0 0
x3a =
1 0
1 0
x4a =
1 0
0 1
Example 4: One-Dimensional Frequency Mapping
M = 15;
for m=0:((M+1)/2-1)
Xm = zeros(M,1);
Xm(m+1) = M/2;
if m==0
Xm(m+1)= M;
else
Xm(M+1-m) = M/2;
end
x = ifft(Xm);
figure(m+1); clf
bar(x)
end
Example 4a: One-Dimensional Frequency Mapping (Odd Symmetry)
M = 15;
for m=0:((M+1)/2-1)
Xm = zeros(M,1);
Xm(m+1) = M/2/j;
if m==0
Xm(m+1)= M;
else
Xm(M+1-m) = -M/2/j;
end
x = ifft(Xm);
figure(m+1); clf
bar(x)
end
Example 5: MATLAB fft2 and ifft2 for Even Dimensions
x1 = [3, 4, 5, 7; 9, 7, 5, 3; 1, 8, 6, 7; 4, 2, 7, 6]
X1 = fft2(x1)
yields
$$ \begin{align*} X1 &= \begin{bmatrix} 84 & \color{Red}{-6+2j} & -4 & \color{Red}{-6-2j}\\ \color{Orange}{-3-5j} & \color{Green}{-5-3j} & \color{Blue}{5-1j} & \color{Orchid}{11-11j}\\ -2 & \color{Brown}{-8+2j} & -18 & \color{Brown}{-8-2j}\\ \color{Orange}{-3+5j} & \color{Orchid}{11+11j} & \color{Blue}{5+1j} & \color{Green}{-5+3j} \end{bmatrix} \end{align*} $$
and
fftshift(X1)
yields
$$ \begin{align*} \begin{bmatrix} -18 & \color{Brown}{-8-2j} & -2 & \color{Brown}{-8+2j} \\ \color{Blue}{5+1j} & \color{Green}{-5+3j} & \color{Orange}{-3+5j} & \color{Orchid}{11+11j}\\ -4 & \color{Red}{-6-2j} & 84 & \color{Red}{-6+2j}\\ \color{Blue}{5-1j} & \color{Orchid}{11-11j} & \color{Orange}{-3-5j} & \color{Green}{-5-3j}\\ \end{bmatrix} \end{align*} $$
where the matching colors denote the requisite complex conjugate pairs.
Example 6: FFT of Coins
x = imread('coins.png');
x = x(2:end, 2:end);
figure(1); clf
image(x); axis equal; colormap gray; colorbar
X = fft2(x);
Xs = fftshift(X);
figure(2); clf
imagesc(abs(X)); axis equal; colormap gray; colorbar
figure(3); clf
imagesc(abs(Xs)); axis equal; colormap gray; colorbar
figure(4); clf
imagesc(log10(abs(Xs))); axis equal; colormap gray; colorbar
Xnodc = fft2(x); Xnodc(1,1) = 0;
Xnodcs = fftshift(Xnodc);
figure(5); clf
imagesc(abs(Xnodcs)); axis equal; colormap gray; colorbar
figure(6); clf
imagesc(log10(abs(Xnodcs))); axis equal; colormap gray; colorbar
Example 7: Round LPF Applied to Coins
x = imread('coins.png');
x = x(2:end, 2:end);
figure(1); clf
image(x); axis equal; colormap gray; colorbar
X = fft2(x);
Xs = fftshift(X);
figure(2); clf
imagesc(log10(abs(Xs))); axis equal; colormap gray; colorbar
[rows, cols] = size(x);
max_size = max(rows, cols);
rnorm = rows/max_size; cnorm = cols/max_size;
[v, u] = meshgrid(linspace(-cnorm, cnorm, cols),...
linspace(-rnorm, rnorm, rows)) ;
filter = sqrt(u.^2+v.^2)<0.5;
figure(3); clf
imagesc(filter); axis equal; colormap gray; colorbar
Xsfiltered = Xs.*filter;
figure(4); clf
imagesc(log10(abs(Xsfiltered))); axis equal; colormap gray; colorbar
Xfiltered = ifftshift(Xsfiltered);
xfiltered = ifft2(Xfiltered);
figure(5); clf
imagesc(xfiltered, [0, 255]); axis equal; colormap gray; colorbar
Example 8: Rectangular LPF Applied to Coins
x = imread('coins.png');
x = x(2:end, 2:end);
figure(1); clf
image(x); axis equal; colormap gray; colorbar
X = fft2(x);
Xs = fftshift(X);
figure(2); clf
imagesc(log10(abs(Xs))); axis equal; colormap gray; colorbar
[rows, cols] = size(x);
max_size = max(rows, cols);
rnorm = rows/max_size; cnorm = cols/max_size;
[v, u] = meshgrid(linspace(-cnorm, cnorm, cols),...
linspace(-rnorm, rnorm, rows)) ;
filter = (abs(u)<0.5) & (abs(v)<0.5);
figure(3); clf
imagesc(filter); axis equal; colormap gray; colorbar
Xsfiltered = Xs.*filter;
figure(4); clf
imagesc(log10(abs(Xsfiltered))); axis equal; colormap gray; colorbar
Xfiltered = ifftshift(Xsfiltered);
xfiltered = ifft2(Xfiltered);
figure(5); clf
imagesc(xfiltered, [0, 255]); axis equal; colormap gray; colorbar
Example 9: Rectangular HPF Applied to Coins
x = imread('coins.png');
x = x(2:end, 2:end);
figure(1); clf
image(x); axis equal; colormap gray; colorbar
X = fft2(x);
Xs = fftshift(X);
figure(2); clf
imagesc(log10(abs(Xs))); axis equal; colormap gray; colorbar
[rows, cols] = size(x);
max_size = max(rows, cols);
rnorm = rows/max_size; cnorm = cols/max_size;
[v, u] = meshgrid(linspace(-cnorm, cnorm, cols),...
linspace(-rnorm, rnorm, rows)) ;
filter = (abs(u)>0.1) | (abs(v)>0.1);
figure(3); clf
imagesc(filter); axis equal; colormap gray; colorbar
Xsfiltered = Xs.*filter;
figure(4); clf
imagesc(log10(abs(Xsfiltered))); axis equal; colormap gray; colorbar
Xfiltered = ifftshift(Xsfiltered);
xfiltered = ifft2(Xfiltered);
figure(5); clf
imagesc(xfiltered); axis equal; colormap gray; colorbar