Preserve the label information when extracing boundaries from label matrix

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Hello, I would like to get the boundary labels when extracting boundaries from label matrix.
Right now, I understand that I can generate boundary masks from the following function:
bm = boundarymask(labelmatrix), however, the generated masks are binary, that is to say, I wouldn't know which mask correspond to what label. I am wondering if there is a way to preserve such information, so that I can know which boundary is for label 1, 2, 3..., etc.
Thanks in advance!

回答(2 个)

DGM
DGM 2021-12-20
You can do something like this:
A = imread('blobs.png');
L = bwlabel(A);
B = L.*boundarymask(L); % multiply
[min(L(:)) max(L(:))] % label array has 28 blobs
ans = 1×2
0 28
[min(B(:)) max(B(:))] % boundary array also has 28 labeled blob boundaries
ans = 1×2
0 28

yanqi liu
yanqi liu 2021-12-20
clc; clear all; close all;
A = imread('kobi.png');
L = superpixels(A,100);
% label id
inds = sort(unique(L(:)));
% for every label id
mask = boundarymask(L);
figure
imshow(mask)
hold on;
for i = 1:length(inds)
maski = boundarymask(L==inds(i));
% display every label by different color
[ri,ci] = find(maski);
plot(ci,ri,'.','Color',rand(1,3))
end

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