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THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT.
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Data Manipulation
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Image Processing & Analysis
>
Mathematical Morphology
>
Pruning
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BUILT-IN MATHEMATICA SYMBOL
SkeletonTransform
InverseDistanceTransform
Thinning
MorphologicalBranchPoints
Binarize
See Also »
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Image Processing & Analysis
Mathematical Morphology
New in 8.0: Alphabetical Listing
New in 8.0: Data Manipulation
More About »
Pruning
Pruning
[
image
]
removes the outermost branches of thin objects in
image
by setting their values to black.
Pruning
removes branches that are at most
n
pixels long.
Pruning
removes
n
pixels from each branch.
Pruning
treats values above
t
as foreground.
MORE INFORMATION
Morphological pruning is typically applied after morphological thinning.
Pruning
works with binary, grayscale, and multichannel images, as well as real matrices.
Pruning
takes a
Padding
option that specifies the values to assume for pixels outside the image. The default setting is
Padding
.
EXAMPLES
CLOSE ALL
Basic Examples
(4)
Prune the outermost branches:
Prune branches that are no longer than 60 pixels:
Prune 60 pixels from branches:
Prune all branches:
Prune the outermost branches:
In[1]:=
Out[1]=
Prune branches that are no longer than 60 pixels:
In[1]:=
Out[1]=
Prune 60 pixels from branches:
In[1]:=
Out[1]=
Prune all branches:
In[1]:=
Out[1]=
Scope
(1)
Morphological pruning can be applied to raw data:
Applications
(2)
Count the legs of a centipede:
Find the loops of a graph:
Properties & Relations
(1)
Iteratively prune an image:
Neat Examples
(1)
Solve a maze puzzle by thinning all paths and pruning dead ends:
SEE ALSO
SkeletonTransform
InverseDistanceTransform
Thinning
MorphologicalBranchPoints
Binarize
MORE ABOUT
Image Processing & Analysis
Mathematical Morphology
New in 8.0: Alphabetical Listing
New in 8.0: Data Manipulation
New in 8