rspectrum

This is an internal function and not to be used stand-alone.

A tool to use a principal component analysis on radially averaged
two dimensional Fourier spectra to characterize image texture. The method
within the context of ecology was first described by Couteron et al. (2005)
<doi:10.1111/j.1365-2664.2005.01097.x> and expanded upon by
Solorzano et al. (2018) <doi:10.1117/1.JRS.12.036006>
using a moving window approach.

Hufkens Koen

foto

Fourier Transform Textural Ordination

Koen Hufkens

Jonathan V. Solorzano

BlueGreen Labs 

rspectrum function

<dl><dt>x</dt>
<dd>a square matrix</dd>
<dt>w</dt>
<dd>a moving window size</dd>
<dt>n</dt>
<dd>normalize, bolean <code>TRUE</code> or <code>FALSE</code></dd>
<dt>h</dt>
<dd>high pass filter on the two first spectra values
set to 0, limits the influence of low frequency components
bolean <code>TRUE</code> or <code>FALSE</code></dd>
<dt>env</dt>
<dd>local environment to evaluate</dd>
<dt>...</dt>
<dd>additional parameters to forward</dd></dl>

Arguments

Calculates a radial spectrum — rspectrum

<dl>

<dt>x</dt>
<dd>a square matrix</dd>


<dt>w</dt>
<dd>a moving window size</dd>


<dt>n</dt>
<dd>normalize, bolean <code>TRUE</code> or <code>FALSE</code></dd>


<dt>h</dt>
<dd>high pass filter on the two first spectra values
set to 0, limits the influence of low frequency components
bolean <code>TRUE</code> or <code>FALSE</code></dd>


<dt>env</dt>
<dd>local environment to evaluate</dd>


<dt>...</dt>
<dd>additional parameters to forward</dd>

</dl>

rspectrum: Calculates a radial spectrum

Description

Usage

Value

Arguments