Native Measurements
Measurements natively available in ImageDev.
- Geometry: Contains measurements expressing shape attributes.
- Feret: Contains measurements based on Feret diameter, which is a one-dimensional measurement that estimates how "wide" an object is when projected in a given direction.
- Intensity: Contains measurements expressing color or gray level statistical attributes, using the label input image as a mask.
- Histogram: Contains measurements expressing color or gray level statistical attributes extracted from the intensity image histogram and using the label input image as a mask.
- Inertia: Contains measurements derived from the variance-covariance matrix extracted from the intensity image values, and using the label input image as a mask.
- Locate: Contains measurements that return information that can be used to spot the associated object in the input image.
- Segment: Contains geometric measurements based on a polygonal approximation of the 2D object boundaries.
- Cooccurrence: Contains measurements based on the computation of co-occurrence matrices.
They can be accessed with the NativeMeasurements object and added to a
MeasurementGroup or an
AnalysisMsr object.
In C# and C++, all measurements inherit from the class Measurement.
In python, all measurements follow the protocol described here.
Note: All subsections describe available native measurements using a table. The column indexing describes the indexes used to read a particular measurement; the column Element type gives the data type of the measurement. For instance, for IntensityMinimum, the indexing is [label, channel] and the Element type is Floating point, it implicitly means that one can read the result using the method double value(label, channel)
Note: All subsections describe available native measurements using a table. The column indexing describes the indexes used to read a particular measurement; the column Element type gives the data type of the measurement. For instance, for IntensityMinimum, the indexing is [label, channel] and the Element type is Floating point, it implicitly means that one can read the result using the method double value(label, channel)