slic: Generate superpixel mapping
In jspaezp/clasifierrr: Classifies images based on features

Description Usage Arguments Value Examples

Performs a variation of kmeans to make virtual pixels.

1	slic(img, num_superpixel = 200, compactness = 1)

`img`	input image file
`num_superpixel`	number of superpixels
`compactness`	parameter that denotes how similarly related the pixels must be

list of 2 images, one with the averaged colors and one with the indexes

x = readImage(system.file('images', 'shapes.png', package='EBImage'))
superpixelated <- slic(x)

# # To display the average color of each superpixel
display(superpixelated[[1]], "raster")
# # To display a colored version that makes evident the superpixel separations
display(EBImage::colorLabels(superpixelated[[2]]), "raster")