find_threads

This function finds 'threads' hanging off of the edges of blobs in an image, allowing the user to trim them

A 'ggplot2'-consistent approach to generating 2D displays of  volumetric brain imaging data.
Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and
themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects,
inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.

Michael Hallquist

ggbrain

Create Images of Volumetric Brain Data in NIfTI Format Using
'ggplot2' Syntax

find_threads function

<dl><dt>im</dt>
<dd>A numeric matrix representing an image, with non-zero values representing pixels to display</dd>
<dt>min_neighbors</dt>
<dd>the minimum number of neighbors a pixel must have to be retained</dd>
<dt>maxit</dt>
<dd>the maximum number of iterations to run the thread trimming algorithm. Default: 15.</dd>
<dt>diagonal</dt>
<dd>Whether to count diagonal elements as valid neighbors</dd></dl>

Arguments

Author

This function finds 'threads' hanging off of the edges of blobs in an image, allowing the user to trim them — find_threads

<dl>

<dt>im</dt>
<dd>A numeric matrix representing an image, with non-zero values representing pixels to display</dd>


<dt>min_neighbors</dt>
<dd>the minimum number of neighbors a pixel must have to be retained</dd>


<dt>maxit</dt>
<dd>the maximum number of iterations to run the thread trimming algorithm. Default: 15.</dd>


<dt>diagonal</dt>
<dd>Whether to count diagonal elements as valid neighbors</dd>

</dl>

find_threads: This function finds 'threads' hanging off of the edges of blobs in an image, allowing the user to trim them

Description

Value

Arguments

Author

Details