.. AUTO-GENERATED FILE -- DO NOT EDIT!

interfaces.slicer.segmentation.simpleregiongrowingsegmentation
==============================================================


.. _nipype.interfaces.slicer.segmentation.simpleregiongrowingsegmentation.SimpleRegionGrowingSegmentation:


.. index:: SimpleRegionGrowingSegmentation

SimpleRegionGrowingSegmentation
-------------------------------

`Link to code <file:///build/nipype-4ReYCB/nipype-0.11.0/nipype/interfaces/slicer/segmentation/simpleregiongrowingsegmentation.py#L25>`__

Wraps command **SimpleRegionGrowingSegmentation **

title: Simple Region Growing Segmentation

category: Segmentation

description: A simple region growing segmentation algorithm based on intensity statistics. To create a list of fiducials (Seeds) for this algorithm, click on the tool bar icon of an arrow pointing to a starburst fiducial to enter the 'place a new object mode' and then use the fiducials module. This module uses the Slicer Command Line Interface (CLI) and the ITK filters CurvatureFlowImageFilter and ConfidenceConnectedImageFilter.

version: 0.1.0.$Revision: 19904 $(alpha)

documentation-url: http://www.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/SimpleRegionGrowingSegmentation

contributor: Jim Miller (GE)

acknowledgements: This command module was derived from Insight/Examples (copyright) Insight Software Consortium

Inputs::

        [Mandatory]

        [Optional]
        args: (a string)
                Additional parameters to the command
                flag: %s
        environ: (a dictionary with keys which are a value of type 'str' and
                 with values which are a value of type 'str', nipype default value:
                 {})
                Environment variables
        ignore_exception: (a boolean, nipype default value: False)
                Print an error message instead of throwing an exception in case the
                interface fails to run
        inputVolume: (an existing file name)
                Input volume to be filtered
                flag: %s, position: -2
        iterations: (an integer)
                Number of iterations of region growing
                flag: --iterations %d
        labelvalue: (an integer)
                The integer value (0-255) to use for the segmentation results. This
                will determine the color of the segmentation that will be generated
                by the Region growing algorithm
                flag: --labelvalue %d
        multiplier: (a float)
                Number of standard deviations to include in intensity model
                flag: --multiplier %f
        neighborhood: (an integer)
                The radius of the neighborhood over which to calculate intensity
                model
                flag: --neighborhood %d
        outputVolume: (a boolean or a file name)
                Output filtered
                flag: %s, position: -1
        seed: (a list of items which are a list of from 3 to 3 items which
                 are a float)
                Seed point(s) for region growing
                flag: --seed %s...
        smoothingIterations: (an integer)
                Number of smoothing iterations
                flag: --smoothingIterations %d
        terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
                Control terminal output: `stream` - displays to terminal immediately
                (default), `allatonce` - waits till command is finished to display
                output, `file` - writes output to file, `none` - output is ignored
        timestep: (a float)
                Timestep for curvature flow
                flag: --timestep %f

Outputs::

        outputVolume: (an existing file name)
                Output filtered
