Contains all the information necessary to run a trained machine learning model for performing a texture-based segmentation.
The object publicly exposes only the most relevant information of the model. Other important information is
stored in this model, such as the classification weights, but is not accessible.
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
Description
Element type
Indexing
Physical Information
computeMode
The type of dimensional image to process with the model (2D or 3D).
String
None
UNKNOWN
coocRadius
The radius, in pixels, of the circular neighborhood used by the co-occurrence features.
Unsigned integer
None
UNKNOWN
coocTextonShape
The shape of the co-occurrence texton; that is, the pattern defined by the set of co-occurrence vectors.
String
None
UNKNOWN
listOfRadius
The list of radius, in pixels, of the circular neighborhoods used for computing textural features.
Unsigned integer
[radiusIndex]
UNKNOWN
numOfClasses
The number of classes learned by the model.
Unsigned integer
None
UNKNOWN
selectedFeature
The list of features retained by the training to discrimate the textures.
String
[featureIndex]
UNKNOWN
separationPower
The parameter controlling the rejection criteria of the feature selection algorithm.
Floating point
None
UNKNOWN
featureGroup
The feature groups selected when initializing the model.