Image summary

Returns the attributes of, and optionally plots, an image.

# S3 method for rimg
summary(object, plot = FALSE, axes = TRUE, col = NULL, ...)

Arguments

object	(required) an image of class rimg, or list thereof.
plot	logical; plot the image and, if the image is color-classified, the colours corresponding to colour class categories side-by-side? Defaults to FALSE.
axes	should axes be drawn when plot = TRUE? (defaults to TRUE).
col	optional vector of colours when plotting colour-classified images with plot = TRUE. Defaults to the mean RGB values of the k-means centres (i.e. the 'original' colours).
...	additional graphical options when plot = TRUE. Also see par().

Value

Either the RGB values of the k-means centres from the colour-classified image, or a plot of both the image and specified colours (when plot = TRUE).

Author

Thomas E. White thomas.white026@gmail.com

Examples

# \donttest{
papilio <- getimg(system.file("testdata/images/butterflies/papilio.png", package = "pavo"))
papilio_class <- classify(papilio, kcols = 4)
#> Image classification in progress...
summary(papilio_class)
#>    img_ID col_ID name         R         G          B
#> 1 papilio      1    1 0.9613800 0.8933067 0.48321219
#> 2 papilio      2    2 0.2018490 0.1602989 0.05771096
#> 3 papilio      3    3 0.9994688 0.9994303 0.99910729
#> 4 papilio      4    4 0.5421227 0.4805653 0.23031847

# Plot the colour-classified image alongside the colour class palette
summary(papilio_class, plot = TRUE)

# Multiple images
snakes <- getimg(system.file("testdata/images/snakes", package = "pavo"))
#> 2 files found; importing images.
snakes_class <- classify(snakes, kcols = 3)
#> Image classification in progress...
summary(snakes_class, plot = TRUE)
#> Press [enter] for next plot.
#> Press [enter] for next plot.
# }