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Any ideas how I can perform segmentation on this image?

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I have tried a range of methods such as clustering and thresholding to seperate the white circle from the brown ring without any luck.
Please could someone help?
Thanks!
  4 Comments
Image Analyst
Image Analyst on 21 May 2020
Use bwconvhull. Do you want the actual boundary, following all the little nooks and crannies, or do you want the best-fit perfect circle?
Pranaya Kansakar
Pranaya Kansakar on 21 May 2020
Edited: Pranaya Kansakar on 21 May 2020
Ideally id like to find the area of the white circle
Also,i think using bwconvhull requires binarization of the image.
I'm stuck at that stage as binarization does a terrible job .

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Answers (1)

Ryan Comeau
Ryan Comeau on 29 May 2020
Hey, i've read through the comments, might have a binarization solution for you. The imbinarize function is very elaborate, take a good look through the documentation. Here is what i've done in the past to get the best binarization results.
image=imread('path/to/image')
image=rescale(image,0,1); %matlab loves 0-1 range for binarize don't ask me why lol
BW_im=imbinarize(image);
If this doesn't work, try a variable sensitivity, adaptive binarization, and create some validation conditions for yourself:
is_done = 0;
sensitivity= 0.1; %tune this to whatever you want
i=1;
while is_done == 0
BW(i).image = imbinarize(I,'adaptive','Sensitivity',sensitivity);
i=i+1;
sensitivity=sensitivity+0.1;%tune this to what you want.
if sensitivity >= 1
is_done == 1
end
end
%you then place some validation criterion on you binarization and take which one is the best
Hope this helps,
RC

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