8.110. Replace Element Attributes with Neighbor (Threshold)

Group (Subgroup)

Processing (Cleanup)

Description

This Filter first identifies all Cells that have a value that meets the selected threshold value set by the user. Then, for each of those Cells, their neighboring Cells are checked to determine the neighbor Cell with maximum or minimum value. The attributes of the neighbor with the maximum/minimum value are then reassigned to the reference Cell.

Note: By default, the Filter will run only one iteration of the cleanup. If the user selects the Loop Until Gone option, then the Filter will run iteratively until no Cells exist that meet the users criteria. So, if a Cell meets the threshold and so are all of its neighbors, then that Cell will not be changed during that iteration and will remain unchanged until one of its neighbors gets changed by a Cell further away.

Examples

TSL Data (.ang) File

When attempting to “clean up” EBSD data generated by EDAX/TSL the Attribute Array “Confidence Index” can be used. Confidence Index is a measure of how confident in the indexing results given by the OIM Analysis software and ranges from 0.0 (No confidence) to 1.0 (Absolute confidence). More information about the Confidence Index can be found in the OIM analysis user manual. Typical inputs for TSL (.ang) Data might be the following.

Filter Parameter

Value

Threshold Value

0.1

Operator

<

Selected Array

[DataContainer] / CellData / Confidence Index

Loop Until Gone

User dependent

Using these values says that for every cell that has a confidence index < 0.1 it’s neighbor cells will be considered. If the neighbor cell has a confidence > 0.1 AND is greater than the other neighbors then this cell’s data will be copied into the original cell data location.

Example EDAX Results

Reasonable Use of the Filter

Original Data

After Running Filter

True Data

Original Data

Text

Text

Example of Too Much Replacement

Original Data

Threshold CI < 0.1

After Running Filter

True Data

Original Data

Original Data. Black pixels have Confidence Index < 0.1

Text

Text

Note how in the above use of the filter the grain morphology is substantially changed from the exemplar data. Except for very large grains being similar most of the fine grains and twins are NOT reproduced from the original.

Oxford/Bruker (.ctf) File

Oxford Instruments and Bruker CTF data files do not include a “Confidence Index” measure. There are several measures such as Mean Angular Deviation (MAD) or Bands but these values are not filled in or are defaulted to 0 (Zero) if the scan point was not indexed. By using the Error value from the data file we can get the same effect as the EDAX Confidence Index. The user would use the following input values:

Filter Parameter

Value

Threshold Value

0.0

Operator

>

Selected Array

[DataContainer] / CellData / Error

Loop Until Gone

User dependent

Example Oxford/Bruker Results

Original Data

After Running Filter

Original Data

Note the large areas of unindexed pixels in the original image (black pixels) and how they are all filled in. The filter can act much like a generic “flood fill” image processing algorithm if used improperly.

Input Parameter(s)

Parameter Name

Parameter Type

Parameter Notes

Description

Threshold Value

Scalar Value

Float32

The value to of the threshold

Comparison Operator

Choices

The operator to use for comparisons. 0=Less, 1=Greater Than

Loop Until Gone

Bool

The algorithm will keep looping until all pixels have been evaluated

Input Cell Data

Parameter Name

Parameter Type

Parameter Notes

Description

Selected Image Geometry

Geometry Selection

Image

The target geometry

Input Comparison Array

Array Selection

Allowed Types: int8, uint8, int16, uint16, int32, uint32, int64, uint64, float32, float64, boolean Comp. Shape: 1

The DataPath to the input array to use for comparison

Example Pipelines

The example pipeline (pipelines/Examples/ReplaceElementAttributesWithNeighbor.d3dpipeline) will give output similar to the following images.

Before Filter

After Filter

Original Data

Original Data

DREAM3D-NX Help

If you need help, need to file a bug report or want to request a new feature, please head over to the DREAM3DNX-Issues GitHub site where the community of DREAM3D-NX users can help answer your questions.