I have a image of two circles which are partially occulded. I have to label them as two different label. is there any way to label them differently? I am adding some more images. Images have some regular & non-regular shapes.

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poonam
poonam 2015-12-28
评论： poonam 2016-1-3
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poonam
poonam 2016-1-1
Hi harjeet, I am adding some more images. My Images have some regular and some non-regular shapes. regular shapes include perfect circle and distorted at the borders. non regular shape are toching to the regular shapes.
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Image Analyst
Image Analyst 2015-12-28
poonam, did you see the example in the help for the watershed function? This is exactly the help demo - two overlapping circles, separating and labeling them. Just follow the code in the help example.
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poonam
poonam 2016-1-3
Yes sir, I learned about that function. and it worked very well for all my images. And I think my revision of question was unnecessary. Thank you.

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harjeet singh
harjeet singh 2015-12-28
hello poonam do use this code
clear all
close all
clc
img=imread('rgbCattach.png');
img=rgb2gray(img);
figure(1)
imshow(img)
drawnow
img=logical(img);
[centers, radii, metric] = imfindcircles(img,[30 100]);
img_labeled(1:size(img,1),1:size(img,2))=0;
for i=1:size(centers,1)
for j=1:size(img,1)
for k=1:size(img,2)
d=sqrt( (j-centers(i,2)).^2 + (k-centers(i,1)).^2);
if(d<=radii(i))
img_labeled(j,k)=i;
end
end
end
end
figure(2)
imshow(img_labeled)
drawnow
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harjeet singh
harjeet singh 2016-1-1
hello poonam as @image analyst told you to use watersed function, that's the best in your case use this code
clear all
close all
warning off
clc
img=imread('s4.png');
img=logical(img(:,:,1));
figure(1)
imshow(img)
drawnow
D = bwdist(~img);
D = -D;
D(~D) = -Inf;
figure(2)
imshow(D,[],'InitialMagnification','fit')
title('Distance transform of ~bw')
L = double(watershed(D));
rgb = label2rgb(L,'jet',[.5 .5 .5]);
figure(3)
imshow(rgb,'InitialMagnification','fit')
title('Watershed transform of D')
L(L==1)=0;
figure(4)
subplot(1,2,1)
imshow(L)
title('bw labeled image')
subplot(1,2,2)
imshow(rgb)
title('jet image')
poonam
poonam 2016-1-3
Thank you harjeet, 'watershed' function suggested by @Image Analysis worked perfectly well in my problem. Now I can extract these object individual.

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