Package qupath.opencv.ml.objects.features

Class FeatureExtractors

java.lang.Object

qupath.opencv.ml.objects.features.FeatureExtractors

public class FeatureExtractors
extends Object

Helper class for extracting features from objects, used along with ObjectClassifiers.

Author:

Pete Bankhead

Constructor Summary

Constructors

Constructor	Description
FeatureExtractors()

Method Summary

Modifier and Type	Method	Description
static <T> FeatureExtractor<T>	createMeasurementListFeatureExtractor(List<String> measurements)	Create a FeatureExtractor that determines features for the MeasurementList of the PathObject.
static <T> FeatureExtractor<T>	createNormalizingFeatureExtractor(FeatureExtractor<T> extractor, Normalizer normalizer)	Wrap an existing FeatureExtractor to apply normalization prior to returning the values.
static <T> FeatureExtractor<T>	createPCAProjectFeatureExtractor(FeatureExtractor<T> extractor, Preprocessing.PCAProjector pca)	Wrap an existing FeatureExtractor to apply PCA projection prior to returning the values.
static TypeAdapterFactory	getTypeAdapterFactory()	Get the TypeAdapterFactory default used for FeatureExtractor objects.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

FeatureExtractors

public FeatureExtractors()

Method Details

getTypeAdapterFactory

public static TypeAdapterFactory getTypeAdapterFactory()

Get the TypeAdapterFactory default used for FeatureExtractor objects. This is intended for internal use by QuPath, and should be registered with GsonTools.

Returns:

createMeasurementListFeatureExtractor

public static <T> FeatureExtractor<T> createMeasurementListFeatureExtractor(List<String> measurements)

Create a FeatureExtractor that determines features for the MeasurementList of the PathObject.

Parameters:

measurements - list containing the measurement names

Returns:

the new FeatureExtractor

createNormalizingFeatureExtractor

public static <T> FeatureExtractor<T> createNormalizingFeatureExtractor(FeatureExtractor<T> extractor,
 Normalizer normalizer)

Wrap an existing FeatureExtractor to apply normalization prior to returning the values.

Parameters:

extractor - original (base) feature extractor

normalizer - Normalizer to apply to initial features

Returns:

the new FeatureExtractor

createPCAProjectFeatureExtractor

public static <T> FeatureExtractor<T> createPCAProjectFeatureExtractor(FeatureExtractor<T> extractor,
 Preprocessing.PCAProjector pca)

Wrap an existing FeatureExtractor to apply PCA projection prior to returning the values.

Parameters:

extractor - original (base) feature extractor

pca - Preprocessing.PCAProjector to apply to initial features

Returns:

the new FeatureExtractor