DREAM.3D v6 User Manual
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Statistics (Morphological)
This Filter determines the radial distribution function (RDF), as a histogram, of a given set of Features. Currently, the Features need to be of the same Ensemble (specified by the user), and the resulting RDF is stored as Ensemble data. This Filter also returns the clustering list (the list of all the inter-**Feature** distances) and the minimum and maximum separation distances. The algorithm proceeds as follows:
Note: Because the algorithm iterates over all the Features, each distance will be double counted. For example, the distance from Feature 1 to Feature 2 will be counted along with the distance from Feature 2 to Feature 1, which will be identical.
Name | Type | Description |
---|---|---|
Number of Bins for RDF | int32_t | Number of bins to split the RDF |
Phase Index | int32_t | Ensemble number for which to calculate the RDF and clustering list |
Image
Kind | Default Name | Type | Component Dimensions | Description |
---|---|---|---|---|
Feature Attribute Array | EquivalentDiameters | float | (1) | Diameter of a sphere with the same volume as the Feature |
Feature Attribute Array | Phases | int32_t | (1) | Specifies to which Ensemble each Feature belongs |
Feature Attribute Array | Centroids | float | (3) | X, Y, Z coordinates of Feature center of mass |
Kind | Default Name | Type | Component Dimensions | Description |
---|---|---|---|---|
Feature Attribute Array | ClusteringList | float | (1) | Distance of each Features's centroid to ever other Features's centroid |
Ensemble Attribute Array | RDF | float | (Number of Bins) | A histogram of the normalized frequency at each bin |
Ensemble Attribute Array | RDFMaxMinDistances | float | (2) | The max and min distance found between Features |
Please see the description file distributed with this Plugin
If you need more help with a Filter, please consider asking your question on the DREAM.3D Users Google group!