Package | Description |
---|---|
org.anchoranalysis.feature.bean.list |
A feature-list (custom list type for features) and associated providers.
|
org.anchoranalysis.feature.bean.provider |
Provider of a single feature.
|
org.anchoranalysis.plugin.image.feature.bean.list |
Implementations of
FeatureListProvider . |
org.anchoranalysis.plugin.image.feature.bean.list.pair |
Implementations of
FeatureListProvider with
input-type FeatureInputPairObjects . |
org.anchoranalysis.plugin.image.feature.bean.list.permute |
Implementations of
FeatureListProvider that derive
new features with permuted property-values. |
org.anchoranalysis.plugin.ml.bean.classifier |
Beans that perform classification in some way.
|
org.anchoranalysis.plugin.opencv.bean.feature |
Extracting features using OpenCV.
|
Modifier and Type | Class and Description |
---|---|
class |
Define<T extends FeatureInput>
Specifies a list of features directly without assigning any custom-naming.
|
class |
DefinedNamed<T extends FeatureInput>
Specifies features via a list of names and associated with features.
|
class |
DefineSingle<T extends FeatureInput>
Specifies a single feature directly without assigning any custom-naming.
|
class |
FeatureListProvider<T extends FeatureInput>
Provides a list of
Feature s with identical input-type. |
class |
PrependName
Prepends a string to the custom-name of each feature in a list.
|
class |
ReferencingFeatureListProvider<T extends FeatureInput>
A base class for implementations of
FeatureListProvider that may reference features
created elsewhere. |
Modifier and Type | Class and Description |
---|---|
class |
FeatureProvider<T extends FeatureInput>
Provides a single
Feature . |
class |
FeatureProviderDefine<T extends FeatureInput>
Defines a single
Feature to provide via a bean property. |
class |
FeatureProviderReference
Provides an existing
Feature identified by its name and optionally a feature-list in
which is resides. |
Modifier and Type | Class and Description |
---|---|
class |
IntensityMoments
Calculate various moment-related statistics about the intensity of each channel of an image.
|
Modifier and Type | Class and Description |
---|---|
class |
DeriveFromPair
Embeds each feature in a
FeatureDeriveFromPair feature (first, second or
merge) and prepends with a string. |
class |
FeatureListProviderAggregatePair
Calculates features on each part of a pair (first, second, merged etc.) and then reduces the
calculation to a single number.
|
class |
ReduceFirstAndSecond
Calculates the aggregate of a feature applied to both the first and second objects in a
FeatureInputPairObjects . |
class |
ReduceRatioFirstAndSecond
Calculates the aggregate of the ratio of
first :second and second
:first for a FeatureInputPairObjects |
class |
SubtractReducedFromMerged
Calculates
merged - reduce(first,second) for a FeatureInputPairObjects |
Modifier and Type | Class and Description |
---|---|
class |
PermuteDivideByParam<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
class |
PermuteFeature<S,T extends FeatureInput>
Permutes one or more properties of a Feature, so as to create a set of Features
|
class |
PermuteFeatureBase<T extends FeatureInput>
Creates permutations of a feature by modifying a particular property of it in different ways.
|
class |
PermuteFeatureSequenceInteger<T extends FeatureInputDictionary>
Permutes a property on a feature with a sequence of integers.
|
class |
PermuteFirstSecondOrder<T extends FeatureInputDictionary> |
class |
PermuteGaussianScore<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
class |
PermuteZScore<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
Modifier and Type | Class and Description |
---|---|
class |
FeatureListProviderLDAClassifier<T extends FeatureInput> |
class |
FeatureListProviderSVMClassifier |
Modifier and Type | Class and Description |
---|---|
class |
HOGDescriptor
Creates the entire HOG descriptor for an image.
|
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.