image_thinning_guo_hall: Perform Guo-Hall thinning on a binary image or list of binary images

Description

This function performs the Guo-Hall thinning algorithm (Guo and Hall, 1989) on a binary image or a list of binary images.

Usage

image_thinning_guo_hall(
  img,
  parallel = FALSE,
  workers = NULL,
  verbose = TRUE,
  plot = FALSE,
  ...
)

Value

If img is a single binary image, the function returns the thinned binary image. If img is a list of binary images, the function returns a list containing the thinned binary images.

Arguments

img: The binary image or a list of binary images to be thinned. It can be either a single binary image of class 'Image' or a list of binary images.
parallel: Logical, whether to perform thinning using multiple cores (parallel processing). If TRUE, the function will use multiple cores for processing if available. Default is FALSE.
workers: Integer, the number of workers (cores) to use for parallel processing. If NULL (default), it will use 40% of available cores.
verbose: Logical, whether to display progress messages during parallel processing. Default is TRUE.
plot: Logical, whether to plot the thinned images. Default is FALSE.
...: Additional arguments to be passed to image_binary() if img is not a binary image.

References

Guo, Z., and R.W. Hall. 1989. Parallel thinning with two-subiteration algorithms. Commun. ACM 32(3): 359–373. tools:::Rd_expr_doi("10.1145/62065.62074")

Examples

Run this code

library(pliman)
img <- image_pliman("potato_leaves.jpg", plot = TRUE)
image_thinning_guo_hall(img, index = "R", plot = TRUE)