region_grow.rst

{% extends "plugin_template.rst" %}

{% block title %}Region Grow{% endblock %}

{% block description %} Fast 2D segmentation by evolving the user-given mask, the initialised mask should be set in the central part of the object to be segmented. {% endblock %}

{% block parameter_yaml %}

in_datasets:

visibility: datasets dtype: "[list[],list[str]]" description:

summary: A list of the dataset(s) to process. verbose: A list of strings, where each string gives the name of a dataset that was either specified by a loader plugin or created as output to a previous plugin. The length of the list is the number of input datasets requested by the plugin. If there is only one dataset and the list is left empty it will default to that dataset.

default: "[]"

out_datasets:

visibility: datasets dtype: "[list[],list[str]]" description: The default names default: "['MASK_RG_EVOLVED']"

threshold:

visibility: basic dtype: float description: parameter to control mask propagation. default: "1.0"

method:

visibility: intermediate dtype: str description: a method to collect statistics from the given mask (mean, median, value). default: mean

iterations:

visibility: basic dtype: int description: number of iterations. default: "500"

connectivity:

visibility: intermediate dtype: int description: the connectivity of the local neighbourhood, choose 4 or 8. default: "4" options: "[4, 8]"

pattern:

visibility: basic dtype: str description: pattern to apply this to. default: VOLUME_YZ

{% endblock %}

{% block plugin_citations %}

No citations

{% endblock %}

{% block plugin_file %}../../../../plugin_api/plugins.segmentation.evolving_contours.region_grow.rst{% endblock %}