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Expert| Module: | FoundationBasic |
|---|
Approximates points with a segment using Least Trimmed Error algorithm.
Applications
Brute-force finding of a segment that best matches a subset of the input points. Very efficient against outliers, but possibly slow for bigger subsets.
| Name | Type | Range | Description | |
|---|---|---|---|---|
 |
inPoints | Point2DArray | Input points | |
|
inRange | Range* | Determines which array points take part in fitting process | |
|
inSeedSubsetSize | Integer | 2 - 10 | Number of points in one combination for getting a sample segment |
|
inEvalSubsetSize | Integer* | 3 -  |
Number of closest points used for evaluation of a sample segment, or Auto if seed points are to be used |
 |
outSegment | Segment2D | Fitted segment | |
|
outLTInliers | Point2DArray | Inlying points of the best LTE segment | |
|
outLTError | Real | The Least Trimmed Error | |
 |
diagIterationCount | Integer | Number of combinations considered | |
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
| Error type | Description |
|---|---|
| DomainError | Empty array of points in FitSegmentToPoints_LTE. |
| DomainError | Range exceeds the input point array in FitSegmentToPoints_LTE. |
Complexity Level
This filter is available on Expert Complexity Level.
Filter Group
This filter is member of FitSegmentToPoints filter group.
