Algorithm used to find centroids in regionprops.
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Naseeb Gill
on 31 May 2016
Commented: Veena Chatti
on 8 Jul 2020
I used regionprops to find centroids in image processing. But now I have to put algorithm to show how code works to find these centroids. Someone please tell me the algorithm used for the same.
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Veena Chatti
on 8 Jul 2020
I am also looking for further information on the algorithms underlying the regionprops function's outputs. Did you manage to find further information from MATLAB? Thanks!
Accepted Answer
Image Analyst
on 31 May 2016
It's a good question but I don't know that we have an answer. I know the area from regionprops is simply the pixel count, because it says so, unlike bwarea which gives the area differently depending on how many pixels are on the outer edge of the blob. Now the unweighted centroid formula is normally just the average of the x and y coordinates of all the pixels in the blob, but whether they weight pixels differently depending on whether they are near the edge (background) is not stated.
Another flavor of centroid, the weighted centroid is just sum(g*x)/sum(g) - where g is the gray level. Note how the g "cancels out" so you're left with something with units of x. The weighted centroid may be further weighted by whether a pixel is near the edge. That said, I don't think they weight pixels differently depending on their adjacency to an edge like they do for bwarea(), though I'm not 100% sure.
5 Comments
Image Analyst
on 1 Jun 2016
This is not true:
% centx and centy are the centroid of first column
It should say
% centx and centy are the centroid of the first blob.
And it looks like sizx is simply the number of pixels in the first blob, not of a column in the blob. And so, since sizx is just a scalar, sizex is just 1. The whole thing is just a mess and you should just use mean() like Walter suggested.
More Answers (1)
Walter Roberson
on 31 May 2016
1 Comment
Walter Roberson
on 31 May 2016
For images with a single region:
[R, C] = find(YourImage);
Y_centroid = mean(R);
X_centroid = mean(C);
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