Radial averaging of 2-d tif image

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I am looking to compute a radial average of a 2-d tif microscopy image.
I want to start from a given pixel as the center, go progressively radially and record the intensities of all the pixels lying on the locus of the circle of that radius. Out of all these, I want to compute a graph of radius vs. Intensity.
Any ideas? I am looking to create a .m file to do this. Thank you!

Accepted Answer

Image Analyst
Image Analyst on 4 Feb 2016
Edited: Image Analyst on 12 Sep 2019
See my attached demo. Feel free to adapt, like to change the center or whatever. It gives the average radial profile within the blobs but you can use the same concept to do it over the whole image. The whole-image version is shown in the Answer below this one. Of course you could always just use ginput() to identify the center, compute the radiii, and use accumaray. Or just use a double for loop. So, there are several ways.

More Answers (3)

Image Analyst
Image Analyst on 4 Feb 2016
Edited: Image Analyst on 12 Sep 2019
OK, so maybe that demo was too hard for you to adapt. Here is an easier, more straightforward demo using two for loops. It's easy to understand (as compared to accumarray which would probably be faster). See attached script below the image.
  1 Comment
Sergey Loginov
Sergey Loginov on 3 Nov 2021
Dear ImageAnalyst,
Thanks for mentioning accumarray function here! At image sizes greater than 1000x1000 it is much much faster than this circle drawing stuff!!
Regards

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Hugo Trentesaux
Hugo Trentesaux on 7 Feb 2019
Edited: Hugo Trentesaux on 11 Sep 2019
My version of the function :
function profile = radialAverage(IMG, cx, cy, w)
% computes the radial average of the image IMG around the cx,cy point
% w is the vector of radii starting from zero
[a,b] = size(IMG);
[Y, X] = meshgrid( (1:a)-cx, (1:b)-cy);
R = sqrt(X.^2 + Y.^2);
profile = [];
for i = w % radius of the circle
mask = (i-1<R & R<i+1); % smooth 1 px around the radius
values = (1-abs(R(mask)-i)) .* double(IMG(mask)); % smooth based on distance to ring
% values = IMG(mask); % without smooth
profile(end+1) = mean( values(:) );
end
end
  3 Comments
Sergey Loginov
Sergey Loginov on 3 Nov 2021
Dear Hugo,
I have seen your are have answered quite a lot o these questions about the radial profiles with the same code. I have myself implemented it in a similar manner recently. However it is really much much faster to use accumarray function from MatLab!!
Regards
SL

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Sergey Loginov
Sergey Loginov on 5 Nov 2021
Using accumarray is indeed so much faster!
function [Tics,Average]=radial_profile(data,radial_step)
%main axii cpecified:
x=(1:size(data,2))-size(data,2)/2;
y=(1:size(data,1))-size(data,1)/2;
% coordinate grid:
[X,Y]=meshgrid(x,y);
% creating circular layers
Z_integer=round(abs(X+1i*Y)/radial_step)+1;
% % illustrating the principle:
% % figure;imagesc(Z_integer.*data)
% very fast MatLab calculations:
Tics=accumarray(Z_integer(:),abs(X(:)+1i*Y(:)),[],@mean);
Average=accumarray(Z_integer(:),data(:),[],@mean);
end
Sergey Loginov (2021). Very Fast Radial Profile (https://www.mathworks.com/matlabcentral/fileexchange/101480-very-fast-radial-profile), MATLAB Central File Exchange. Retrieved November 5, 2021.

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