Region Grow3D¶
Description¶
Fast 3D segmentation by evolving the user-given mask, the initialised mask should be set in the central part of the object to be segmented.
Parameters
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, 6, 8 or 26.
default: "6"
options: "[4, 6, 8, 26]"
Key
visibility: The visibility level of the parameter
dtype: The type of data
description: A short explanation of the parameter
default: The default value
options: A list of permitted values
dependency: The name of the parameter and value which this parameter depends upon
range: A guide for the range of the parameter
Citations
No citations
API
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class
RegionGrow3d
[source] -
nInput_datasets
()[source] The number of datasets required as input to the plugin
- Returns
Number of input datasets
-
nOutput_datasets
()[source] The number of datasets created by the plugin
- Returns
Number of output datasets
-
pre_process
()[source] This method is called immediately after base_pre_process().
-
process_frames
(data)[source] This method is called after the plugin has been created by the pipeline framework and forms the main processing step
- Parameters
data (list(np.array)) – A list of numpy arrays for each input dataset.
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setup
()[source] This method is first to be called after the plugin has been created. It determines input/output datasets and plugin specific dataset information such as the pattern (e.g. sinogram/projection).
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