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Unable to detect Iris boundary using imfind circles

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Karthik Krishnan
Karthik Krishnan 2021-7-21
评论： Matt J 2021-7-25
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
  2 个评论
Jonas
Jonas 2021-7-21
编辑：Jonas 2021-7-21
did you try to use a bigger lower radius bound in imfindcircles? if the lower bound is big enough you will not get the small circle.
it would also help if you provide the original image or the binary image without the circle

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Matt J
Matt J 2021-7-21
编辑：Matt J 2021-7-21
Ran in:
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 个评论
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Matt J
Matt J 2021-7-25
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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