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How to get a closed boundary of image recognition?

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The boundaries of the graphics are identified. Now I need to get a closed boundary with a gray scale greater than 200, and the x, y coordinates of each boundary are known.
%plot code
% code
clear all;
clear;
clc;
load('imagdata.mat');
load('imgx.mat');
load('imgy.mat');
load('org_dataisld.mat');
imagesc(imgx,imgy,imagdata);
colormap(flipud(gray));
colorbar('northoutside');
set(gca,'YDir','reverse')
caxis(gca,[0.5 256])
len = length(org_dataisld);
hold on;
for i = 1:len
self_data = org_dataisld{i}(:,:);
plot(imgx(self_data(:,1)),imgy(self_data(:,2)),'-g');
end
hold off

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Accepted Answer

Yongjun Wang
Yongjun Wang on 9 Aug 2017
Starting from the data body org_dataisld.mat

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More Answers (2)

Yongjun Wang
Yongjun Wang on 10 Aug 2017
The funciton bwboundaries can solve this problem.

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Yongjun Wang
Yongjun Wang on 25 Aug 2017
Edited: Yongjun Wang on 25 Aug 2017
This problem has been solved which takes me a month.

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Image Analyst
Image Analyst on 25 Aug 2017
I could have done it in a few minutes if I had just understood what you wanted. I still don't, actually.

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