How to find the endpoint?
14 次查看(过去 30 天)
显示 更早的评论
Hi, i have an image and wanted to find the location of endpoints as shown in red circle.
I am using the
bw=bwmorph(bw,'endpoints')
however, it returns "0" instead of the location of endpoints.
How can I do with this? Thank you.
2 个评论
采纳的回答
DGM
2022-6-8
编辑:DGM
2022-6-8
% image recovered from screenshot
A = imread('vessel.png');
A = A>128; % binarize
% skeletonize
B = bwskel(A,'minbranchlength',50);
% fill loops
B = imfill(B,'holes');
% skeletonize to get rid of filled loops
B = bwskel(B,'minbranchlength',50);
imshow(B) % display interpolation makes fine lines look spotty
% get endpoints as a logical image
endpts = bwmorph(B,'endpoints');
imshow(endpts) % again, display interpolation hides most of the dots
That result can be used for logical indexing if needed. If for some reason, you can't use it directly and need indices instead, you can use find().
% if you really truly need indices instead
endptidx = find(endpts)
6 个评论
DGM
2022-6-10
I'm not sure if your x,y for the reference center are flipped. it's outside the image region.
% image recovered from screenshot
A = imread('vessel.png');
A = A>128; % binarize
% skeletonize
B = bwskel(A,'minbranchlength',50);
% fill loops
B = imfill(B,'holes');
% skeletonize to get rid of filled loops
B = bwskel(B,'minbranchlength',50);
% get endpoints as a logical image
endpts = bwmorph(B,'endpoints');
% these might be flipped
x=500;
y=1000;
[endpt_Y endpt_X] = find(endpts); %[row col]
% this is the square of the euclidean distance
% if all you need is to optimize distance, there's no need for sqrt()
% if you actually need the distance for something else, you can add it.
Dsquared = sum(([endpt_Y endpt_X] - [y x]).^2,2);
% find most distal endpoint
[~,mxidx] = max(Dsquared);
mostdistal = [endpt_X(mxidx) endpt_Y(mxidx)]
% plot some stuff
imshow(B); hold on
plot(x,y,'x','markersize',20) % specified centroid
plot(mostdistal(1),mostdistal(2),'o','markersize',20)
ylim([0 1050]) % adjust axes to show marker
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Image Processing Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!