- Crop ROI
- Segment your image
- Obtain the boundaries and calculate thickness
How can i detect the boundary using bwtraceboundary function ??
3 次查看(过去 30 天)
显示 更早的评论
I want to detect the seperate two boundaries (inner and outer boundary) in our case.. I want to seperately detect inner and outer boundary and calculate the distance between them along the boundaries. In the image.png, I shown the exmple how will i want to do seperate the boundary (red and green colour boundary) which i want to seperate into inner and outer boundary. please give me a solution so i can automatically select the starting point and store the boundary data into two matrix.
Thank you for help
0 个评论
回答(2 个)
Antoni Garcia-Herreros
2023-5-2
Hello Surendra,
But the general idea would be to:
clear all
close all
I=imread('Original_image (2).png');
%% Crop region
Icrop=I(1:720,400:600);
%% Segment
BW=~imbinarize(Icrop);
se = strel('disk',5);
BWc=imclose(BW,se);
skelImage = bwskel(BWc, 'MinBranchLength', 10); % First guess. Strangely bwskel() doesn't seem to have any short spurs, no matter what MinBranchLength is.
imshow(imoverlay(BWc, skelImage, 'r'));
title('Binary image with skel')
%% Obtain distances
edtImage = bwdist(~BWc); %Distance of to nearest 0 value
radii = edtImage(skelImage); % Extract the distances only along the skeleton
% These are the half widths. Multiply by 2 to get the full widths.
averageWidth = 2 * mean(radii)
%% Find the boundaries
E=edge(BWc); % Find the edges
CC = bwconncomp(E); % Isolate the different components
[rowOut1,colOut1]=ind2sub(size(E),CC.PixelIdxList{1,1});
Pout1=[rowOut1,colOut1]; % Pixels forming Outer boundary 1
[rowIn,colIn]=ind2sub(size(E),CC.PixelIdxList{1,2});
Pin=[rowIn,colIn]; % Pixels forming Inner boundary 1
[rowOut2,colOut2]=ind2sub(size(E),CC.PixelIdxList{1,3});
Pout2=[rowOut2,colOut2]; % Pixels forming Outer boundary 2
figure(2)
imshow(BWc)
hold on
plot(Pin(:,2),Pin(:,1),'.','MarkerSize',2)
plot(Pout1(:,2),Pout1(:,1),'.','MarkerSize',2)
plot(Pout2(:,2),Pout2(:,1),'.','MarkerSize',2)
title('Boundaries')
Hope this helps
3 个评论
Image Analyst
2023-5-5
Then why did you accept the answer? It's not how I would have done it. I don't know whether to give you my solution or not -- maybe you've already solved it yourself since it's rather easy if you use bwboundaries instead of bwtraceboundary. Let me know if you need my solution.
Image Analyst
2023-5-5
Look at the documentation for bwboundaries. If you get all the output variables, you'll know which are exterior or interior/nested boundaries.
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Parallel Computing Fundamentals 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!