ImageDev

CoocurrrenceMsr

Contains the 13 Haralick indicators given by co-occurrence matrix analysis.

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
pixelCount The number of processed pixels. Unsigned integer [time] COUNT
ASM The angular second moment indicator. Floating point [time] COEFFICIENT
contrast The contrast indicator. Floating point [time] SQUARE_INTENSITY
correlation The correlation indicator. Floating point [time] COEFFICIENT
SSV The sum of the square variance indicator. Floating point [time] SQUARE_INTENSITY
IDM The inverse difference moment (homogeneity). Floating point [time] COEFFICIENT
sumAverage The sum average indicator. Floating point [time] INTENSITY
sumVariance The sum variance indicator. Floating point [time] INTENSITY
sumEntropy The sum entropy indicator. Floating point [time] COEFFICIENT
entropy The entropy indicator. Floating point [time] COEFFICIENT
differenceVariance The difference variance indicator. Floating point [time] COEFFICIENT
differenceEntropy The difference entropy indicator. Floating point [time] COEFFICIENT
correlationInfo1 The correlation information measure 1. Floating point [time] COEFFICIENT
correlationInfo2 The correlation information measure 2. Floating point [time] 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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