imagefluency0.2.5 package

Image Statistics Based on Processing Fluency

dot-check_input

.check_input

dot-compl

.compl

dot-contr

.contr

dot-selfsim

.selfsim

dot-shift_axis

.shift_axis

dot-sym

.sym

dot-sym_mirror

.sym_mirror

dot-typ

.typ

imagefluency-package

imagefluency: Image Statistics Based on Processing Fluency

img_complexity

Image complexity

img_contrast

Image contrast

img_read

Read bitmap image (bmp, jpg, png, tiff)

img_self_similarity

Image self-similarity

img_simplicity

Image simplicity

img_symmetry

Image symmetry

img_typicality

Typicality of images relative to each other

rgb2gray

RGB to Gray Conversion

rotate90

Matrix or Array Rotation by 90 Degrees

run_imagefluency

Run imagefluency app

Download source packageRead PDF manual

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.

  • Maintainer: Stefan Mayer
  • License: GPL-3
  • Last published: 2024-02-22

Useful links