Image summary

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

Usage

# S3 method for class '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 0.9612793 0.8932084 0.48314864
#> 2 papilio      2    2 0.5414235 0.4798840 0.22992296
#> 3 papilio      3    3 0.2017427 0.1602007 0.05766217
#> 4 papilio      4    4 0.9994688 0.9994303 0.99910729

# 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.

# }