Image Statistics Based on Processing Fluency

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) and Mayer & Landwehr (2018) for the theoretical background of the methods.


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Reference manual

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install.packages("imagefluency")

0.2.3 by Stefan Mayer, 9 months ago


https://stm.github.io/imagefluency


Report a bug at https://github.com/stm/imagefluency/issues


Browse source code at https://github.com/cran/imagefluency


Authors: Stefan Mayer [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports R.utils, readbitmap, pracma, magick, OpenImageR

Suggests grid, ggplot2, scales, shiny, testthat, mockery, knitr, rmarkdown


See at CRAN