We want to plot in Matlab using mesh function the FFT2 of an image (we have applied fftshift, abs, and log).
So how do we do that?
imageB=imread('pic2', 'jpg');
figure, imshow(imageB)
fftB=fft2(double(imageB));
F1=fftshift(fftB);
F2=abs(F1);
F3=log(F2+1);
mesh(F3)
We want a 3-D plot of the FFT.
An option using surf:
imageB=rgb2gray(imread('http://upload.wikimedia.org/wikipedia/commons/d/db/Patern_test.jpg'));
Note that the original image is a RGB image, thus the FFT will also be a 3-channel array. Either convert to grayscale or access one channel with F1(:,:,1)
fftB=fft2(double(imageB));
F1=log(abs(fftshift(fftB)));
surf(F1), shading flat;
Result:
Related
Could you tell me how to plot in Matlab figure such as below (smooth transition of colors)? Function countour allows only to create plot with contour lines which doesn't provide enough information to me.
You can use imagesc with the 'jet' colormap. Here's an example:
x = conv2( randn(600), fspecial('gaussian',200,20), 'valid'); %// example 2D smooth data
imagesc(x)
colormap(jet)
colorbar
grid
That is not a contour plot!
try imagesc, surf and all of their variants:
http://uk.mathworks.com/help/matlab/surface-and-mesh-plots-1.html
http://uk.mathworks.com/help/matlab/image-file-operations.html
I need to ask help in plotting a 3D volume in MATLAB. My data set includes the X, Y, Z coordinate and corresponding intensity value, V.
I was using pcolor (X,Y,V) and shading interp while i was doing the 2D images but then I got stuck when I am about to create the 3D images. I have tried scatter3, smooth3 and slice but it seems it does not fit the function I need.
My goal is to plot the 3D grid with the corresponding intensity value per coordinate and apply shading interp between these points.
I am really new in 3D plotting and I would really appreciate any help in achieving my goal. Thank you so much!
Here are some example of images that I am trying to create
(source: ndt.net)
(source: www.bam.de)
I have a solution for your first example, in which you show three cross-sections of the volume data. With this solution you can essentially plot several pcolor with different orientations, in one same 3D figure.
First, you need the data for the different slices. This is exactly what you had when you did pcolor(X,Y,V) to plot the cross section in 2D, where X, Y and V are two dimensional matrices. You will also need to create a matrix Z with the z-position of the slice (e.g. Z = zeros(size(X)) + z0). Then you use the command surface(X,Y,Z,V) to plot the cross section image in 3D, where X,Y,Z are the positions, and V is the color (value of the function).
Repeat this procedure for all the other slices, using appropriate X,Y,Z,V matrices for each slice. For slices oriented on other axes you will have to define X,Y,Z accordingly. Remember to use "hold on" after the first surface command, so that all the slices are plotted.
Example:
surface(X1,Y1,Z1,V1); shading interp; hold on
surface(X2,Y2,Z2,V2); shading interp;
surface(X3,Y3,Z3,V3); shading interp;
colormap(jet(2048)); caxis([0,3]); % color axis colormap and scaling
axis equal; xlabel('X'); ylabel('Y'); zlabel('Z') % X,Y,Z scaling and label
Result figure here:
I want to know how to plot the contour of the FFT of an image in Matlab. I have this code but when plotting the contour I get a blue plot. I think I need to specify the range of the frequencies in the contour function, but how to know/compute the range?
monolayer = double(imread('TEM_monolayer_graphene.bmp'));
monolayerFFTs = fftshift(fft2(monolayer));
contour(monolayerFFTs);
I think instead of the blue plot I should get a 3D plot with some spikes at the frequencies where there is more energy.
I was able to get a really good plot with the following code
monolayer = double(imread('TEM_monolayer_graphene.bmp'));
monolayerFFTs = fftshift(fft2(monolayer));
contour(abs(monolayerFFTs));
I have a similar question than the one in this post.
I have a grayscale image and I plot points on it. Fro plotting the points I use colormap('jet') but as I want the image to be grayscale, after plotting the points I reset the colormap, colormap('gray').
But I want to show a colorbar! And the colorbar is plotted in grayscale, not 'jet'.
How can I do that?
EDIT:
I want a Colorbar showing the color of the points!
You should convert your image to RGB by putting the same data into R-, G-, and B-channels (this will be grayscale RGB image). Colormap in MatLab is not applied to RGB images, only to indexed ones. Then plot your points over the image with colormap you like.
As discussed here, there's a few ways:
If you have the image processing toolbox, use subimage to create an independent image with a separate colormap. Then plot the image, your points, and join them into one using linkaxes.
Use freezeColors from the file exchange (or multiple colormaps, which I haven't ever tested personally). This is a very easy way to create a larger colormap, and automatically selecting the right portion of the colormap for display of images and colorbars.
As answered by anandr, convert your greyscale image to RGB; Matlab doesn't use colormaps on RGB images, which leaves you freedom to plot your points and show their colorbar independent of the image.
Example code for (3):
I = imread('cameraman.tif');
imshow(cat(3,I,I,I))
hold on
x = #() round(size(I,1) * rand(50,1));
y = #() round(size(I,2) * rand(50,1));
plot(x(), y(), 'r.')
plot(x(), y(), 'g.')
plot(x(), y(), 'b.')
colormap('jet')
colorbar
result:
I have a 3D Matrix M(256x256x136) and each index(i,j,k) in M has a gray level value in it. I am interested in displaying M in some sort of a 3D plot in MATLAB, but am unable to do so. I cannot use plot3 because plot3 is for plotting points, not the values.
Thanks
If I understand your question correctly, you want to plot the 3D point cloud with i,j, and k as 3D coordinates and the gray level as the point value.
I would suggest using scatter3.
Sounds like you are looking for a volume renderer. For Matlab, you could try this one: Volume Render from Matlab Central
An isosurface plot might be useful as well.