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Mayer, S. (2026). *imagefluency: Image Statistics Based on Processing
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
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- listed
- llms.txt
- https://imagefluency.com/llms.txt
- Sections
- 13
- Links
- 36
- Size
- 7623 bytes
- Registered
- 2022-09-27
- Country
- United States Hosting inference
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- United States Hosting inference
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- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-23T08:31:04.510Z
- Last checked
- 2026-10-23T08:31:05.461Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T08:31:04.516Z. Cached copy · Source on imagefluency.com
## imagefluency: Image Statistics Based on Processing Fluency 
## Overview
**imagefluency** is an R package for image fluency scores. The package
allows to get scores for several basic aesthetic principles that
facilitate fluent cognitive processing of images.
The main functions are:
- [`img_contrast()`](https://imagefluency.com/reference/img_contrast.md)
to get the visual contrast of an image.
- [`img_complexity()`](https://imagefluency.com/reference/img_complexity.md)
to get the visual complexity of an image (equals 1 minus image
simplicity)
- [`img_self_similarity()`](https://imagefluency.com/reference/img_self_similarity.md)
to get the visual self-similarity of an image
- [`img_simplicity()`](https://imagefluency.com/reference/img_simplicity.md)
function to get the visual simplicity of an image (equals 1 minus
image complexity).
- [`img_symmetry()`](https://imagefluency.com/reference/img_symmetry.md)
to get the vertical and horizontal symmetry of an image.
- [`img_typicality()`](https://imagefluency.com/reference/img_typicality.md)
to get the visual typicality of a list of images relative to each
other
Other helpful functions are:
- [`img_read()`](https://imagefluency.com/reference/img_read.md) wrapper
function to read images into R using `read.bitmap()` from the
[readbitmap](https://github.com/jefferis/readbitmap) package
- [`rgb2gray()`](https://imagefluency.com/reference/rgb2gray.md) convert
images from RGB into grayscale (might speed up computation)
- [`run_imagefluency()`](https://imagefluency.com/reference/run_imagefluency.md)
to launch a Shiny app locally on your computer for an interactive demo
of the main functions
The main author is [Stefan Mayer](https://github.com/stm/).
## Interactive Dashboard
There is an interactive dashboard available to analyze images without
writing code (see screenshot below). The dashboard supports multi-image
uploads, side-by-side comparison, and CSV export.
You can run the dashboard locally with
[`imagefluency::run_imagefluency()`](https://imagefluency.com/reference/run_imagefluency.md)
once the package is installed, or try it out online
[here](https://019d45ea-53cc-6381-9ecf-5151194cda1f.share.connect.posit.cloud/).
## Installation
You can install the current stable version from CRAN.
``` r
install.packages('imagefluency')
```
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