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Segment Features (Scalar)

Group (Subgroup)

Reconstruction (Segmentation)

Description

This Filter segments the Features by grouping neighboring Cells that satisfy the scalar tolerance, i.e., have a scalar difference less than the value set by the user. The process by which the Features are identified is given below and is a standard burn algorithm.

  1. Randomly select a Cell, add it to an empty list and set its FeatureId to the current Feature
  2. Compare the Cell to each of its six (6) face-sharing neighbors (i.e., calculate the scalar difference with each neighbor)
  3. Add each neighbor Cell that has a scalar difference below the user defined tolerance to the list created in 1) and set the FeatureId of the neighbor Cell to the current Feature
  4. Remove the current Cell from the list and move to the next Cell and repeat 2. and 3.; continue until no Cells are left in the list
  5. Increment the current Feature counter and repeat steps 1. through 4.; continue until no Cells remain unassigned in the dataset

The user has the option to Use Mask Array, which allows the user to set a boolean array for the Cells that remove Cells with a value of false from consideration in the above algorithm. This option is useful if the user has an array that either specifies the domain of the "sample" in the "image" or specifies if the orientation on the Cell is trusted/correct.

After all the Features have been identified, an Attribute Matrix is created for the Features and each Feature is flagged as Active in a boolean array in the matrix.

Parameters

Name Type Description
Scalar Tolerance float Tolerance used to determine if neighboring Cells belong to the same Feature
Use Mask Array bool Specifies whether to use a boolean array to exclude some Cells from the Feature identification process

Required Geometry

Image

Required Objects

Kind Default Name Type Component Dimensions Description
Cell Attribute Array None Any (1) Scalar array used during segmentation
Cell Attribute Array Mask bool (1) Specifies if the Cell is to be counted in the algorithm. Only required if Use Mask Array is checked

Created Objects

Kind Default Name Type Component Dimensions Description
Cell Attribute Array FeatureIds int32_t (1) Specifies to which Feature each Cell belongs.
Attribute Matrix CellFeatureData Cell Feature N/A Created Feature Attribute Matrix name
Feature Attribute Array Active bool (1) Specifies if the Feature is still in the sample (true if the Feature is in the sample and false if it is not). At the end of the Filter, all Features will be Active

Example Pipelines

  • (09) Image Segmentation

Please see the description file distributed with this Plugin

DREAM.3D Mailing Lists

If you need more help with a Filter, please consider asking your question on the DREAM.3D Users Google group!