How do I detect and find the discolored area as a percentage of selected area
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Dinuka Ratnasinghe
on 22 Feb 2021
Commented: KALYAN ACHARJYA
on 24 Feb 2021
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)
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Accepted Answer
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
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:
- The Larger Section is already extracted (Done)
- 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)
- Once done calculate the percentage of pixels as you want.
Good Luck!
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