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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