Splits image objects based on a shape file — object_split

Here, image_shp() is used to create a shape file based on the desired number of rows and columns. Then, using the object coordinates, a list of Image objects is created.

Usage

object_split_shp(
  img,
  nrow = 1,
  ncol = 1,
  buffer_x = 0,
  buffer_y = 0,
  interactive = FALSE,
  viewer = get_pliman_viewer(),
  only_shp = FALSE,
  ...
)

Arguments

img: An object of class Image
nrow: The number of desired rows in the grid. Defaults to 1.
ncol: The number of desired columns in the grid. Defaults to 1.
buffer_x, buffer_y: Buffering factor for the width and height, respectively, of each individual shape's side. A value between 0 and 0.5 where 0 means no buffering and 0.5 means complete buffering (default: 0). A value of 0.25 will buffer the shape by 25% on each side.
interactive: If FALSE (default) the grid is created automatically based on the image dimension and number of rows/columns. If interactive = TRUE, users must draw points at the diagonal of the desired bounding box that will contain the grid.
viewer: The viewer option. If not provided, the value is retrieved using get_pliman_viewer(). This option controls the type of viewer to use for interactive plotting. The available options are "base" and "mapview". If set to "base", the base R graphics system is used for interactive plotting. If set to "mapview", the mapview package is used. To set this argument globally for all functions in the package, you can use the set_pliman_viewer() function. For example, you can run set_pliman_viewer("mapview") to set the viewer option to "mapview" for all functions.
only_shp: If TRUE returns only the shapefiles with the coordinates for each image. If FALSE (default) returns the splitted image according to nrow and ncol arguments.
...: Other arguments passed on to image_shp()

Value

A list of Image objects

Examples

if (interactive() && requireNamespace("EBImage")) {
library(pliman)
flax <- image_pliman("flax_leaves.jpg", plot = TRUE)
objects <- object_split_shp(flax, nrow = 3, ncol = 5)
image_combine(objects$imgs)
}