DeleteSmallComponents

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`DeleteSmallComponents`

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DeleteSmallComponents[image]

replaces small connected components in a binary image image with background pixels.

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DeleteSmallComponents[m]

replaces positive integers in a label matrix m with 0 if their tally is small.

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DeleteSmallComponents[…,n]

replaces components consisting of n or fewer elements.

Details and Options

DeleteSmallComponents works with arbitrary 2D and 3D images or label matrices.
The following options can be given:
CornerNeighbors True whether to include corner neighbors

Method Automatic method to determine a size threshold
Possible settings for the Method option include:

	"Cluster"	cluster variance maximization (Otsu's algorithm)
	"Mean"	use the mean of component sizes as the threshold
	"Median"	use the median of component sizes as the threshold

The default setting is Method->"Cluster", corresponding to cluster variance maximization.

Examples

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Basic Examples (3)Summary of the most common use cases

Delete small components in a binary image:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-d9qbqs

Out[1]=1

Delete small components in a 3D image:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-hwlls

Out[1]=1

Remove small components from a label matrix:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-uwdyyj

Scope (2)Survey of the scope of standard use cases

Remove components with fewer than 1000 pixels:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-lg145a

Out[1]=1

Delete small components from a label matrix:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-739xv0

Options (2)Common values & functionality for each option

Method (2)

Use the default cluster variance maximization method:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-h3yiw2

Out[1]=1

Delete components smaller than the mean component size:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-5r4qk

Out[1]=1

In[2]:=2

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https://wolfram.com/xid/0k73cegmq0zrn-i8hrh0

Out[2]=2

Applications (2)Sample problems that can be solved with this function

Clean small foreground and background components:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-xodm8o

Out[1]=1

Delete smaller components resulting from image segmentation:

In[1]:=1

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https://wolfram.com/xid/0k73cegmq0zrn-lx1na7

Out[1]=1

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