interfaces.slicer.segmentation.simpleregiongrowingsegmentation

SimpleRegionGrowingSegmentation

Link to code

Wraps the executable 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:

[Optional]
smoothingIterations: (an integer (int or long))
        Number of smoothing iterations
        argument: ``--smoothingIterations %d``
timestep: (a float)
        Timestep for curvature flow
        argument: ``--timestep %f``
iterations: (an integer (int or long))
        Number of iterations of region growing
        argument: ``--iterations %d``
multiplier: (a float)
        Number of standard deviations to include in intensity model
        argument: ``--multiplier %f``
neighborhood: (an integer (int or long))
        The radius of the neighborhood over which to calculate intensity
        model
        argument: ``--neighborhood %d``
labelvalue: (an integer (int or long))
        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
        argument: ``--labelvalue %d``
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
        argument: ``--seed %s...``
inputVolume: (an existing file name)
        Input volume to be filtered
        argument: ``%s``, position: -2
outputVolume: (a boolean or a file name)
        Output filtered
        argument: ``%s``, position: -1
args: (a unicode string)
        Additional parameters to the command
        argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
          of class 'str' and with values which are a bytes or None or a
          value of class 'str', nipype default value: {})
        Environment variables

Outputs:

outputVolume: (an existing file name)
        Output filtered