SLIC and SLICO superpixel implementations
SLIC and SLICO superpixel implementations
superpixels( input_image, method = "slic", superpixel = 200, compactness = 20, return_slic_data = FALSE, return_lab_data = FALSE, return_labels = FALSE, write_slic = "", verbose = FALSE )
input_image |
either a 2-dimensional or a 3-dimensional input image (the range of the pixel values should be preferably in the range 0 to 255) |
method |
a character string specifying the method to use. Either "slic" or "slico" |
superpixel |
a numeric value specifying the number of superpixels to use |
compactness |
a numeric value specifying the compactness parameter. The compactness parameter is needed only if method is "slic". The "slico" method adaptively chooses the compactness parameter for each superpixel differently. |
return_slic_data |
a boolean. If TRUE then the resulted slic or slico data will be returned |
return_lab_data |
a boolean. If TRUE then the Lab data will be returned ( the Lab-colour format ) |
return_labels |
a boolean. If TRUE then the labels will be returned |
write_slic |
a character string. If not an empty string ("") then it should be a path to the output file with extension .bin ( for instance "/my_dir/output.bin" ). The data will be saved in binary format. |
verbose |
a boolean. If TRUE then information will be printed in the R session |
https://www.epfl.ch/labs/ivrl/research/slic-superpixels/
library(OpenImageR)
#-------------------
# 3-dimensional data
#-------------------
path = system.file("tmp_images", "slic_im.png", package = "OpenImageR")
im = readImage(path)
res = superpixels(input_image = im, method = "slic", superpixel = 200,
compactness = 20, return_slic_data = TRUE)
#-------------------
# 2-dimensional data
#-------------------
im_2d = im[,,1]
res_mt = superpixels(input_image = im_2d, method = "slic", superpixel = 200,
compactness = 20, return_slic_data = TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.