scil_volume_remove_outliers_ransac.py

usage: __main__.py [-h] [--min_fit MIN_FIT] [--max_iter MAX_ITER]
                   [--fit_thr FIT_THR] [-v [{DEBUG,INFO,WARNING}]] [-f]
                   in_image out_image

Remove outliers from image using the RANSAC algorithm.
The RANSAC algorithm parameters are sensitive to the input data.

NOTE: Current default parameters are tuned for ad/md/rd images only.

Formerly: scil_remove_outliers_ransac.py

positional arguments:
  in_image              Nifti image.
  out_image             Corrected Nifti image.

options:
  -h, --help            show this help message and exit
  --min_fit MIN_FIT     The minimum number of data values required to fit the model. [50]
  --max_iter MAX_ITER   The maximum number of iterations allowed in the algorithm. [1000]
  --fit_thr FIT_THR     Threshold value for determining when a data point fits a model. [0.01]
  -v [{DEBUG,INFO,WARNING}]
                        Produces verbose output depending on the provided level.
                        Default level is warning, default when using -v is info.
  -f                    Force overwriting of the output files.

Scilpy version: 2.0.2