Warning
This module is deprecated and will be removed in the future. It is recommended to use the Segment Editor module.
Simple Region Growing Segmentation¶
Overview¶
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 sphere fiducial to enter the ‘place a new object mode’ and then use the Markups module. This module uses the Slicer Command Line Interface (CLI) and the ITK filters CurvatureFlowImageFilter and ConfidenceConnectedImageFilter.
Panels and their use¶
Smoothing Parameters: Parameters to denoise the image prior to segmenting¶
Smoothing iterations (smoothingIterations): Number of smoothing iterations
Timestep (timestep): Timestep for curvature flow
Segmentation Parameters: Parameters to prescribe the region growing¶
Number of iterations (iterations): Number of iterations of region growing
Multiplier (multiplier): Number of standard deviations to include in intensity model
Neighborhood Radius (neighborhood): The radius of the neighborhood over which to calculate intensity model
Output Label Value (labelvalue): 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
Seeds (seed): Seed point(s) for region growing
IO: Input/output parameters¶
Input Volume (inputVolume): Input volume to be filtered
Output Volume (outputVolume): Output filtered
Contributors¶
Jim Miller (GE)
Acknowledgements¶
This command module was derived from Insight/Examples (copyright) Insight Software Consortium