How to find the "true" perimeter of objects in a binary image?
6 views (last 30 days)
Show older comments
Say, there is an object consisting of 3 pixels next to each other (■■■). If I calculate the perimeter using
sum(sum(bwperim(image)))
I get 3. But the actual perimeter (considering all sides of the object) is 8. How do I find this? Thanks.
4 Comments
Image Analyst
on 12 Oct 2015
That's too bad. Maybe some day you'll realize and understand the other ways of considering the pixels.
Optically speaking, the pixel center-to-pixel center definition is probably the most accurate, so an image of [0,1,1,1,0] would have a length of 2 rather than 3.
Accepted Answer
David Young
on 12 Oct 2015
Edited: David Young
on 12 Oct 2015
One possible way is like this:
% Example binary image with 3 non-zero pixels
img = false(5); % Use zeros(5) if you prefer
img(3, 2:4) = true; % use 1 instead of true if you prefer
% Get complement of image, with a border round it in case the
% blob is at the boundary
notimg = true(size(img)+2);
notimg(2:end-1, 2:end-1) = ~img;
% Find locations where a non-zero pixel is adjacent to a zero pixel,
% for each cardinal direction in turn
topedges = img & notimg(1:end-2, 2:end-1);
leftedges = img & notimg(2:end-1, 1:end-2);
bottomedges = img & notimg(3:end, 2:end-1);
rightedges = img & notimg(2:end-1, 3:end);
% Sum each set of locations separately, then add to get total perimeter
perim = sum(topedges(:)) + sum(leftedges(:)) + ...
+ sum(bottomedges(:)) + sum(rightedges(:));
% print result
fprintf('Perimeter is %d\n', perim);
This is correct for your example. Before using it you should check it by testing on a wide range of examples. If you find a case for which it is incorrect, please describe it.
More Answers (0)
See Also
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!