ImageDev

Eccentricity2dMsr

Contains the eccentricity computed from objects of a two-dimensional binary image.

Information about the measurement named measurement can be accessed by using the method measurementInformation() which returns a FieldInformation
Information about the measurement named measurement can be accessed by using the property measurementInformation which returns a FieldInformation
Information about the measurement named measurement can be accessed by using the property measurement_information which returns a FieldInformation

Object members

Measurement name DescriptionElement typeIndexingPhysical Information
eccentricity The eccentricity factor, value with no dimension. Floating point None COEFFICIENT

Object methods

Method Description
void toDataFrame() Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify the different elements. For instance:
  • index [label]: The index of the label. This index systematically starts from 0 and is the label value minus 1 when all label values are represented. When there are some missing label values, the corresponding label value cannot be directly deduced from this index.
  • index [time]: The sequence index of a time series or of an image stack.
Method Description
void ToDataFrame() Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify the different elements. For instance:
  • index [label]: The index of the label. This index systematically starts from 0 and is the label value minus 1 when all label values are represented. When there are some missing label values, the corresponding label value cannot be directly deduced from this index.
  • index [time]: The sequence index of a time series or of an image stack.
Method Description
void to_data_frame() Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify the different elements. For instance:
  • index [label]: The index of the label. This index systematically starts from 0 and is the label value minus 1 when all label values are represented. When there are some missing label values, the corresponding label value cannot be directly deduced from this index.
  • index [time]: The sequence index of a time series or of an image stack.

Related algorithms




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