.sym

Calculates the mirror symmetry of an
image by correlating image halves.

internal

Get image statistics based on processing fluency theory. The
functions provide scores for several basic aesthetic principles that
facilitate fluent cognitive processing of images: contrast,
complexity / simplicity, self-similarity, symmetry, and typicality.
See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr
(2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.

Stefan Mayer

imagefluency

Image Statistics Based on Processing Fluency

.sym function

<dl><dt>img</dt>
<dd>A matrix of numeric values or integer values.</dd>
<dt>color</dt>
<dd>logical. Color image?</dd>
<dt>per_channel</dt>
<dd>logical. Channel-wise maximum symmetry?</dd>
<dt>shift_range</dt>
<dd>numeric. Percentage of axis shift.</dd></dl>

Arguments

.sym — .sym

<dl>

<dt>img</dt>
<dd>A matrix of numeric values or integer values.</dd>


<dt>color</dt>
<dd>logical. Color image?</dd>


<dt>per_channel</dt>
<dd>logical. Channel-wise maximum symmetry?</dd>


<dt>shift_range</dt>
<dd>numeric. Percentage of axis shift.</dd>

</dl>

.sym: .sym

Description

Usage

Value

Arguments