Unable to detect Iris boundary using imfind circles
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Canny_img = edge(newI,'canny');
image(Canny_img)
title('Edge detected')
figure,
imshow(Canny_img)
title('Circle Detected Image')
[centers, radii] = imfindcircles(Canny_img,[20 150],'Sensitivity',0.8);
disp(centers)
disp(radii)
centersStrong = centers(:,:);
radiiStrong = radii(:);
%metricStrong5 = metric(1:2);
viscircles(centersStrong, radiiStrong,'EdgeColor','b');
this is my code it detects the inner circle not the outer one. pls help![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/690953/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/690953/image.png)
2 Comments
Accepted Answer
Matt J
on 21 Jul 2021
Edited: Matt J
on 21 Jul 2021
Increasing the lower radius bound as suggested by @Jonas as well as increasing the sensitivity setting seems to help:
A=any( imbinarize(imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/690953/image.png')) ,3);
[centers, radii] = imfindcircles(A,[50 150],'Sensitivity',0.96);
imshow(A);
viscircles(centers, radii,'EdgeColor','b');
3 Comments
Matt J
on 25 Jul 2021
Because your posted image looks binary. It might indeed be better to try to detect the circles in the original color image.
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