How to extract the largest area?

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ZWY on 30 Jun 2022
Commented: ZWY on 2 Jul 2022
Hi, I have a grayscale image as shown. How can I extract out the largest area? Thank you.

Accepted Answer

Image Analyst
Image Analyst on 30 Jun 2022
It looks like there is a black path separating the different regions. I think you can just binarize the image and use bwareafilt
% Binarize the image
binaryImage = yourImage > 0;
% Make sure it's 2-D, not 3-D (which would be the case if yourImage was RGB).
if size(binaryImage, 3)) == 3
binaryImage = binaryImage(:, :, 1);
binaryImage = bwareafilt(binaryImage, 1); % Take largest 8-connected region.
If you get multiple regions (because regions touch on a diagonal), then try using 4-connected:
binaryImage = bwareafilt(binaryImage, 1, 4); % Take largest 4-connected region.
  1 Comment
ZWY on 2 Jul 2022
Yes, there are separated regions.
Thank you very much.

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