gaussianSmooth

This function smoothes an array using a Gaussian kernel with a specified
standard deviation.

Provides tools for performing mathematical morphology operations,
such as erosion and dilation, on data of arbitrary dimensionality. Can also
be used for finding connected components, resampling, filtering, smoothing
and other image processing-style operations.

Jon Clayden

mmand

Mathematical Morphology in Any Number of Dimensions

gaussianSmooth function

<dl><dt>x</dt>
<dd>An object that can be coerced to an array, or for which a
<code>morph</code> method exists.</dd>
<dt>sigma</dt>
<dd>A numeric vector giving the standard deviation of the kernel in
each dimension. Can have lower dimensionality than the target array.</dd></dl>

Arguments

Jon Clayden &lt;code@clayden.org&gt;

Author

Smooth a numeric array with a Gaussian kernel — gaussianSmooth

<dl>

<dt>x</dt>
<dd>An object that can be coerced to an array, or for which a
<code>morph</code> method exists.</dd>


<dt>sigma</dt>
<dd>A numeric vector giving the standard deviation of the kernel in
each dimension. Can have lower dimensionality than the target array.</dd>

</dl>

gaussianSmooth: Smooth a numeric array with a Gaussian kernel

Description

Usage

Value

Arguments

Author

Details

See Also