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

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,
  ...
)

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.

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.

References

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

Examples

if (interactive() && requireNamespace("EBImage")) {
library(pliman)
img <- image_pliman("potato_leaves.jpg", plot = TRUE)
image_thinning_guo_hall(img, index = "R", plot = TRUE)
}