Branching points detection in processed image
$begingroup$
I want to get the branching coordinates from a computer-generated image like this one:
After SkeletonTransform
and Pruning
, I get:
I would like to develop an algorithm that automatically detect and give coordinates of branching points (I could do it manually but really time consuming).
Thanks!
Edit: I already tried MorphologicalBranchPoints
with poor results...
graphics graphs-and-networks image-processing
$endgroup$
add a comment |
$begingroup$
I want to get the branching coordinates from a computer-generated image like this one:
After SkeletonTransform
and Pruning
, I get:
I would like to develop an algorithm that automatically detect and give coordinates of branching points (I could do it manually but really time consuming).
Thanks!
Edit: I already tried MorphologicalBranchPoints
with poor results...
graphics graphs-and-networks image-processing
$endgroup$
1
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result withMorphologicalBranchPoints
wasn't good then.
$endgroup$
– Valacar
11 hours ago
1
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago
add a comment |
$begingroup$
I want to get the branching coordinates from a computer-generated image like this one:
After SkeletonTransform
and Pruning
, I get:
I would like to develop an algorithm that automatically detect and give coordinates of branching points (I could do it manually but really time consuming).
Thanks!
Edit: I already tried MorphologicalBranchPoints
with poor results...
graphics graphs-and-networks image-processing
$endgroup$
I want to get the branching coordinates from a computer-generated image like this one:
After SkeletonTransform
and Pruning
, I get:
I would like to develop an algorithm that automatically detect and give coordinates of branching points (I could do it manually but really time consuming).
Thanks!
Edit: I already tried MorphologicalBranchPoints
with poor results...
graphics graphs-and-networks image-processing
graphics graphs-and-networks image-processing
edited 12 hours ago
Valacar
asked 12 hours ago
ValacarValacar
461212
461212
1
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result withMorphologicalBranchPoints
wasn't good then.
$endgroup$
– Valacar
11 hours ago
1
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago
add a comment |
1
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result withMorphologicalBranchPoints
wasn't good then.
$endgroup$
– Valacar
11 hours ago
1
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago
1
1
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result with
MorphologicalBranchPoints
wasn't good then.$endgroup$
– Valacar
11 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result with
MorphologicalBranchPoints
wasn't good then.$endgroup$
– Valacar
11 hours ago
1
1
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Use MorphologicalBranchPoints
.
im = Binarize@Import["https://i.stack.imgur.com/O0AMj.png"]
skel = Pruning[Thinning[im], 20];
HighlightImage[skel, MorphologicalBranchPoints[skel]]
Another possibility is to use
skel1 = Pruning[Thinning[im, Method -> "MedialAxis"], 10];
as a start then smoothen the result using
skel2 = Thinning@Dilation[skel1, 5]
so that MorphologicalBranchPoints
would not give false results.
HighlightImage[skel2, MorphologicalBranchPoints[skel2]]
$endgroup$
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Use MorphologicalBranchPoints
.
im = Binarize@Import["https://i.stack.imgur.com/O0AMj.png"]
skel = Pruning[Thinning[im], 20];
HighlightImage[skel, MorphologicalBranchPoints[skel]]
Another possibility is to use
skel1 = Pruning[Thinning[im, Method -> "MedialAxis"], 10];
as a start then smoothen the result using
skel2 = Thinning@Dilation[skel1, 5]
so that MorphologicalBranchPoints
would not give false results.
HighlightImage[skel2, MorphologicalBranchPoints[skel2]]
$endgroup$
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
add a comment |
$begingroup$
Use MorphologicalBranchPoints
.
im = Binarize@Import["https://i.stack.imgur.com/O0AMj.png"]
skel = Pruning[Thinning[im], 20];
HighlightImage[skel, MorphologicalBranchPoints[skel]]
Another possibility is to use
skel1 = Pruning[Thinning[im, Method -> "MedialAxis"], 10];
as a start then smoothen the result using
skel2 = Thinning@Dilation[skel1, 5]
so that MorphologicalBranchPoints
would not give false results.
HighlightImage[skel2, MorphologicalBranchPoints[skel2]]
$endgroup$
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
add a comment |
$begingroup$
Use MorphologicalBranchPoints
.
im = Binarize@Import["https://i.stack.imgur.com/O0AMj.png"]
skel = Pruning[Thinning[im], 20];
HighlightImage[skel, MorphologicalBranchPoints[skel]]
Another possibility is to use
skel1 = Pruning[Thinning[im, Method -> "MedialAxis"], 10];
as a start then smoothen the result using
skel2 = Thinning@Dilation[skel1, 5]
so that MorphologicalBranchPoints
would not give false results.
HighlightImage[skel2, MorphologicalBranchPoints[skel2]]
$endgroup$
Use MorphologicalBranchPoints
.
im = Binarize@Import["https://i.stack.imgur.com/O0AMj.png"]
skel = Pruning[Thinning[im], 20];
HighlightImage[skel, MorphologicalBranchPoints[skel]]
Another possibility is to use
skel1 = Pruning[Thinning[im, Method -> "MedialAxis"], 10];
as a start then smoothen the result using
skel2 = Thinning@Dilation[skel1, 5]
so that MorphologicalBranchPoints
would not give false results.
HighlightImage[skel2, MorphologicalBranchPoints[skel2]]
edited 11 hours ago
answered 12 hours ago
SzabolcsSzabolcs
160k14436933
160k14436933
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
add a comment |
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
$begingroup$
Great ! Thanks a lot.
$endgroup$
– Valacar
11 hours ago
add a comment |
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1
$begingroup$
"I already tried MorphologicalBranchPoints with poor results..." Can you be specific about what you got and what you want instead?
$endgroup$
– Szabolcs
12 hours ago
$begingroup$
@ Szabolcs It was more about a careful selection of thinning and skeletonize options. The result with
MorphologicalBranchPoints
wasn't good then.$endgroup$
– Valacar
11 hours ago
1
$begingroup$
Added another update.
$endgroup$
– Szabolcs
11 hours ago