- First, remove the branchpoints from the skeleton image (dilate them first to make sure you sever the branches in 8-connectivity on)
- Now loop over branch points and add them back in. Do a connected components analysis (bwconncomp) and look at the NumObjects field of the connected components structure. The number of branches connected to each branch point is the original number of objects (image without branchpoints) subtracted from the number of objects in the image with that branchpoint restored.
How to select the highest number of branches/branch points?
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good day I want to detect branches by applying 8 component and find the branch with highest pixel. i tried first with finding the branch points..but since there are many branch split i could not perform the operation i needed can somebody help me . so far i have tried this..with this i get a image with all branch points
bp =bwmorph(vesimg,'branchpoints')
[row column] = find(bp)
branchPts = [row column]
figure;imshow(vesimg);
hold on ;
plot(branchPts(:,2),branchPts(:,1),'+');
% branches = mn;
% branchesLabeled = bwlabel( branches, 8 )% label connected components
% sts = regionprops( branchesLabeled, 'Area', 'Perimeter' )
my input image is
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Sean de Wolski
2014-3-10
编辑:Sean de Wolski
2014-3-10
One way to approach this would be to:
Pseudocode
skeletonize
branchpoints
dilate branchpoints
ccbranches = bwconncomp(dilated branchpoints)
number of branchpoints = ccbranches.NumObjects
vessel without branches = vessel
vessel without branches(dilate branchpoints) = 0
cc = bwconncomp(vessel without branches)
Noriginal = ccbranches.NumObjects;
for ii = 1:number of branch points
X = vessel without branches
X(branchii) = true;
ccii = bwconncomp(X);
numbranches(ii) = ccii-Noriginal
end
[maximumbranches,index] = max(numbranches)
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另请参阅
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