McMMFeature Class |
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Class for Manual Measurement feature
Inheritance HierarchySystemObject
MediaCy.Addins.MeasurementsMcMMFeature
MediaCy.Addins.MeasurementsMcMMFeature
Namespace: MediaCy.Addins.Measurements
Assembly: MediaCy.Addins.Measurements (in MediaCy.Addins.Measurements.dll) Version: 3.1.0.0
SyntaxVB
Public Class McMMFeature
The McMMFeature type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | FeatureType |
Type of the manual measurements feature.
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| IsDerived |
Shows whether the feature is derived from other features (e.g. Angle between lines)
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| IsLargeBlob |
Determines if the feature is Large Blob (blob with more than 10000 objects)
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| Key |
Key string of the feature in the main collection (McMMData.Features).
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| MainSubFeature |
Returns main sub-feature
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| MainSubFeatures |
Returns the main sub-feature of the feature or a list of sub-features.
In case of Pitch with line, a list of Pitch lines is returned.
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| Name |
Name of the feature.
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| Parents |
Returns collection of feature parents. The parent 's type is McMMSubFeature.
The collection is not empty only for derived measurements.
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| pfOptions | |
| Rows |
Returns number of sub-features/rows in data table corresponded to the feature.
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| Selected |
Sets/resets selection to all graphic elements of the feature.
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 | SubFeature |
Return sub-feature by index.
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Methods| Name | Description | |
|---|---|---|
 | ApplyFilters | |
| CreateListOfLocalSubFeatures | |
| DeleteSubFeature |
Deletes sub-feature from feature
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| FeatureDisplayedObjects |
Returns list of displayed objects for the given McFeatures container.
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| FeaturesDuplicates | |
| GetPrefix |
Returns name prefix of sub-features
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| GetTypeName |
Returns the type name of the feature.
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| Rebuild |
Rebuilds the feature.
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| Refresh |
Refreshes feature graphics.
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| Reset |
Resets the feature deleting all sub-features.
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RemarksManual measurement feature defines one measurement object that can include one or more sub-features.
For example a Best-Fit Circle or Pitch with line are features that include best-fit points, lines and region objects.
The count operation also produce one feature per segmentation class which includes multiple regions, lines or points.
See Also