View source: R/image_analysis_classification.R
| wbt_image_segmentation | R Documentation | 
Performs a region-growing based segmentation on a set of multi-spectral images.
wbt_image_segmentation(
  inputs,
  output,
  threshold = 0.5,
  steps = 10,
  min_area = 4,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)
| 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:  | 
| verbose_mode | Sets verbose mode. If verbose mode is  | 
| compress_rasters | Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default:  | 
| command_only | Return command that would be executed by  | 
Returns the tool text outputs.
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