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Effacer les filtres

Edge Detection in a 2D Matrix

19 vues (au cours des 30 derniers jours)
Wayne
Wayne le 31 Juil 2023
Commenté : Wayne le 8 Août 2023
Hi there,
I have a 2D matrix which contains contains 0s and 1s as shown in the left image below. I would like to get the outer boundary of this shape. By using the edge function, it gives a nice estimate of the boundary, but some of the points lie on the original shape. What I did was to use the "edge" function directly with only my 2D matrix as input. Are there any ways to get the outer boundary only and without any points intersecting the original shape? Thank you.
  2 commentaires
Dyuman Joshi
Dyuman Joshi le 31 Juil 2023
What is the output you want to obtain?
Also, can you attach your data? Use the paperclip button to do so.
Wayne
Wayne le 31 Juil 2023
Hi @Dyuman Joshi thanks for the reply - i have attached the data. I would like to have a boundary of a single pixel which surrounds the original figure. The "edge" function does that to some extent, but there are still some overlapped regions.

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Réponse acceptée

DGM
DGM le 31 Juil 2023
Consider the example:
% a logical image
mask = imread('tinyblobs.png');
imshow(mask)
% generate the perimeter image
paddedmask = padarray(mask,[1 1],'replicate','both');
perim = bwperim(~paddedmask);
perim = perim(2:end-1,2:end-1);
imshow(perim)
% show that the new pixels do not overlap the original blobs
% and that there is no gap between the two
imshow(imfuse(mask,perim))
  1 commentaire
Wayne
Wayne le 8 Août 2023
That's great, thank you!

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Plus de réponses (2)

Matt J
Matt J le 1 Août 2023
Modifié(e) : Matt J le 1 Août 2023
% a logical image
mask = imread('tinyblobs.png');
outerboundary = imdilate(mask,strel('disk',1))&~mask;
imshow(mask+2*outerboundary,[])
  1 commentaire
Wayne
Wayne le 8 Août 2023
Thank you, appreciate the response!

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Bruno Luong
Bruno Luong le 31 Juil 2023
Modifié(e) : Bruno Luong le 31 Juil 2023
Do you want this
load(websave('data.mat','https://www.mathworks.com/matlabcentral/answers/uploaded_files/1446792/data.mat'))
d=conv2(data,[0 1 0; 1 1 1; 0 1 0],'same')>0;
b=d-data;
figure
imagesc(data);
axis equal
figure
imagesc(b)
axis equal
  1 commentaire
Wayne
Wayne le 8 Août 2023
Yes this was what I wanted, thanks for your help!

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