wbt_image_segmentation: Image segmentation

View source: R/image_analysis_classification.R

wbt_image_segmentationR Documentation

Image segmentation

Description

Performs a region-growing based segmentation on a set of multi-spectral images.

Usage

wbt_image_segmentation(
  inputs,
  output,
  threshold = 0.5,
  steps = 10,
  min_area = 4,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

inputs

Names of the input band images.

output

Name of the output raster file.

threshold

Distance threshold, in z-scores.

steps

Number of steps.

min_area

Minimum object area, in grid cells (1-8).

wd

Changes the working directory. Default: NULL will use the value in WhiteboxTools settings, see wbt_wd() for details.

verbose_mode

Sets verbose mode. If verbose mode is FALSE, tools will not print output messages. Default: NULL will use the value in WhiteboxTools settings, see wbt_verbose() for details.

compress_rasters

Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: NULL will use the value in WhiteboxTools settings, see wbt_compress_rasters() for details.

command_only

Return command that would be executed by system() rather than running tool. Default: FALSE.

Value

Returns the tool text outputs.


giswqs/whiteboxR documentation built on Oct. 14, 2024, 2:38 a.m.