.. _scil_volume_remove_outliers_ransac:

scil_volume_remove_outliers_ransac
==================================

::

	usage: __main__.py [-h] [--min_fit MIN_FIT] [--max_iter MAX_ITER]
	                   [--fit_thr FIT_THR] [-v [{DEBUG,INFO,WARNING,ERROR}]] [-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.
	
	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,ERROR}]
	                        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.
	
	2.2.2