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How do I detect and find the discolored area as a percentage of selected area

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please could you help me to find the discolored area (dark gray) as a percentage. (Compared to the full area of the sample - inner circle)

Accepted Answer

KALYAN ACHARJYA
KALYAN ACHARJYA on 22 Feb 2021
Edited: KALYAN ACHARJYA on 22 Feb 2021
rgbImage=imread('image_file_name');
[r,c]=size(rgbImage);
grayImage=rgb2gray(rgbImage);
bwImage=~bwareafilt(~imbinarize(grayImage),1);
figure,imshow(bwImage); title('Region of Interest');
%% Pixels Area Calculation in Percentage
data1=bwImage(:);
pix_counts=sum(data1);
fprintf('The Approx Percentage area (Pixel Counts): %f',pix_counts/length(data1)*100);
disp('%');
Result:
The Approx Percentage area (Pixel Counts): 70.739068%
  2 Comments
KALYAN ACHARJYA
KALYAN ACHARJYA on 24 Feb 2021
@Dinuka Ratnasinghe This is also possible with the addition of just one or 2 lines in my code. I have answered the question based on your original question "How do I detect and find the discolored area as a percentage of selected area"
Steps:
  1. The Larger Section is already extracted (Done)
  2. Get the inner circle with considering different threshold value, here you need to segment the inner circle only (Or you may consider the edges and consider largest blobs only)
  3. Once done calculate the percentage of pixels as you want.
Good Luck!

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