Extracting radially symmetric data from a matrix
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Hi. I have a 2D matrix which I can plot using imagesc with respect to distance: x and y (from -xs to +xs). Here's how I discretize my data on x and y:
xs=D./2;
dx=2.*xs./N;
dy=dx;
X=linspace(-xs,xs,N);
Y=linspace(-xs,xs,N);
[x y]=meshgrid(X,Y);
r1=(x.^2+y.^2).^(0.5);
TH1=atan2(y,x);
Now I need to extract radially symmetric sets of data for further analyzing. I mean from 0 to r1. How should I choose the width of r? If I have two matrices like this, how can I interpolate and compare the data on the same 'r' from one matrix with the other one? Thanks
Réponses (1)
Image Analyst
le 16 Mai 2018
Do you want something like this:
D = 10
N = 100
xs=D./2;
dx=2.*xs./N;
dy=dx;
X=linspace(-xs,xs,N);
Y=linspace(-xs,xs,N);
[x y]=meshgrid(X,Y);
r1=(x.^2+y.^2).^(0.5);
subplot(2, 2, 1);
imshow(r1, []);
axis on;
circleMask = r1 < 3;
subplot(2, 2, 2);
imshow(circleMask, []);
axis on;
r2 = r1 .* double(circleMask);
subplot(2, 2, 3);
imshow(r2, []);
axis on;
% Get mean of r1 image inside circle mask
mean_r1 = mean(r1(circleMask))
message = sprintf('The mean of r1 inside the circle mask = %f', mean_r1);
uiwait(helpdlg(message));
4 commentaires
Image Analyst
le 17 Mai 2018
No, pass the coordinates of the circle perimeter (your x and y) into improfile().
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