Uses of Class
dev.brachtendorf.jimagehash.hash.Hash

Packages that use Hash

Package	Description
dev.brachtendorf.jimagehash.datastructures	Datastructures and algorithms which are used by multiple matchers and hashing algorithms to speed up computation.
dev.brachtendorf.jimagehash.datastructures.tree	Tree like data structures
dev.brachtendorf.jimagehash.datastructures.tree.binaryTree
dev.brachtendorf.jimagehash.datastructures.tree.binaryTreeFuzzy
dev.brachtendorf.jimagehash.hash
dev.brachtendorf.jimagehash.hashAlgorithms	Hashing algorithms convert images to a hash representation enabling an approximate similarity measurement without storing much data.
dev.brachtendorf.jimagehash.matcher
dev.brachtendorf.jimagehash.matcher.categorize	The categorization package includes classes to group images into distinct groups based on their similarity.
dev.brachtendorf.jimagehash.matcher.categorize.supervised.randomForest
dev.brachtendorf.jimagehash.matcher.persistent	Persistent image matchers allow to check images against a batch of previously added images keeping only the created hashes coupled with a unique identifier of the image.
dev.brachtendorf.jimagehash.matcher.persistent.database

Uses of Hash in dev.brachtendorf.jimagehash.datastructures

Fields in dev.brachtendorf.jimagehash.datastructures with type parameters of type Hash

Modifier and Type	Field	Description
protected HashMap<Hash,Integer>	ClusterResult.entryToDataIndex

Methods in dev.brachtendorf.jimagehash.datastructures that return types with arguments of type Hash

Modifier and Type	Method	Description
List<Hash>	ClusterResult.getCluster(int cluster)
Map<Integer,List<Hash>>	ClusterResult.getClusters()

Methods in dev.brachtendorf.jimagehash.datastructures with parameters of type Hash

Modifier and Type	Method	Description
ClusterResult	KMeans.cluster(Hash[] hashes)
ClusterResult	KMeans.cluster(Hash[] hashes, int maxIter)
protected void	KMeans.computeKMeans(int[] cluster, FuzzyHash[] clusterMeans, Hash[] hashes, int maxIter)
protected FuzzyHash[]	KMeans.computeStartingClusters(Hash[] hashes)
protected FuzzyHash[]	KMeansPlusPlus.computeStartingClusters(Hash[] hashes)
int	ClusterResult.getBestFitCluster(Hash testHash)	Return the cluster index whose centeroid is most similar to the supplied hash
Map<Integer,Double>	ClusterResult.getPotentialFits(Hash testHash, double sigma)	Checks which cluster has a high chance to contain the closest neighbor to this hash
int	ClusterResult.lookupClusterIdForKnownHash(Hash testHash)	Return the cluster index for a hash which was used during the clustering.

Constructors in dev.brachtendorf.jimagehash.datastructures with parameters of type Hash

Constructor	Description
ClusterResult(int[] clusterIndex, Hash[] hashes)

Uses of Hash in dev.brachtendorf.jimagehash.datastructures.tree

Methods in dev.brachtendorf.jimagehash.datastructures.tree with parameters of type Hash

Modifier and Type	Method	Description
protected void	AbstractBinaryTree.addHash(Hash hash, T value)	Insert a value associated with the supplied hash in the binary tree (similar to a map).
abstract PriorityQueue<Result<T>>	AbstractBinaryTree.getElementsWithinHammingDistance(Hash hash, int maxDistance)	Return all elements of the tree whose hamming distance is smaller or equal than the supplied max distance.
abstract List<Result<T>>	AbstractBinaryTree.getNearestNeighbour(Hash hash)	Get the most similar to the queried argument.

Uses of Hash in dev.brachtendorf.jimagehash.datastructures.tree.binaryTree

Methods in dev.brachtendorf.jimagehash.datastructures.tree.binaryTree with parameters of type Hash

Modifier and Type	Method	Description
void	BinaryTree.addHash(Hash hash, T value)
PriorityQueue<Result<T>>	BinaryTree.getElementsWithinHammingDistance(Hash hash, int maxDistance)	Return all elements of the tree whose hamming distance is smaller or equal than the supplied max distance.
List<Result<T>>	BinaryTree.getNearestNeighbour(Hash hash)	Retrieve the hash that is the most similar to the queried hash.

Uses of Hash in dev.brachtendorf.jimagehash.datastructures.tree.binaryTreeFuzzy

Methods in dev.brachtendorf.jimagehash.datastructures.tree.binaryTreeFuzzy with parameters of type Hash

Modifier and Type	Method	Description
protected void	FuzzyBinaryTree.addHash(Hash hash, FuzzyHash value)
PriorityQueue<Result<FuzzyHash>>	FuzzyBinaryTree.getElementsWithinHammingDistance(Hash hash, int maxDistance)
List<Result<FuzzyHash>>	FuzzyBinaryTree.getNearestNeighbour(Hash hash)

Uses of Hash in dev.brachtendorf.jimagehash.hash

Subclasses of Hash in dev.brachtendorf.jimagehash.hash

Modifier and Type	Class	Description
class	FuzzyHash	A fuzzy hash is an aggregation of multiple hashes mapped to a single mean hash representing the average hash while keeping track of fractional (probability) bits.

Methods in dev.brachtendorf.jimagehash.hash that return Hash

Modifier and Type	Method	Description
static Hash	Hash.fromFile(File source)	Reads a hash from a serialization file and returns it.
Hash	FuzzyHash.getUncertaintyHash(double certainty)	Return a simple hash containing only the bits that are below the specified uncertainty.
Hash	FuzzyHash.toUncertaintyHash(Hash source, double certainty)	Escape the given hash the same way FuzzyHash.getUncertaintyHash(double) escapes this fuzzy hash.

Methods in dev.brachtendorf.jimagehash.hash with parameters of type Hash

Modifier and Type	Method	Description
static boolean	HashUtil.areCompatible(Hash h0, Hash h1)
int	FuzzyHash.hammingDistance(Hash h)
int	Hash.hammingDistance(Hash h)	Calculate the hamming distance of 2 hash values.
int	FuzzyHash.hammingDistanceFast(Hash h)
int	Hash.hammingDistanceFast(Hash h)	Calculate the hamming distance of 2 hash values.
void	FuzzyHash.merge(Hash hash)	Merge a hash into this object and lazily update the values as required.
void	FuzzyHash.merge(Hash... hash)	Merge multiple hashes into this object and lazily update the values as required.
void	FuzzyHash.mergeFast(Hash hash)	Merge a hash into this object and lazily update the values as required.
void	FuzzyHash.mergeFast(Hash... hash)	Merge multiple hashes into this object and lazily update the values as required.
double	FuzzyHash.normalizedHammingDistance(Hash h)
double	Hash.normalizedHammingDistance(Hash h)	Calculate the hamming distance of 2 hash values.
double	FuzzyHash.normalizedHammingDistanceFast(Hash h)
double	Hash.normalizedHammingDistanceFast(Hash h)	Calculate the hamming distance of 2 hash values.
double	FuzzyHash.squaredWeightedDistance(Hash h)	Calculate the squared normalized weighted distance between the supplied hash and this hash.
void	FuzzyHash.subtract(Hash hash)	Subtract a hash from this object and lazily update the values as required.
void	FuzzyHash.subtractFast(Hash hash)	Subtract a hash from this object and lazily update the values as required.
static FuzzyHash	HashUtil.toFuzzyHash(Hash... hashes)
Hash	FuzzyHash.toUncertaintyHash(Hash source, double certainty)	Escape the given hash the same way FuzzyHash.getUncertaintyHash(double) escapes this fuzzy hash.
double	FuzzyHash.weightedDistance(Hash h)	Calculate the normalized weighted distance between the supplied hash and this hash.

Constructors in dev.brachtendorf.jimagehash.hash with parameters of type Hash

Constructor	Description
FuzzyHash(Hash... hashs)	Create a fuzzy hahs by merging the supplied hashes together.

Uses of Hash in dev.brachtendorf.jimagehash.hashAlgorithms

Subclasses of Hash in dev.brachtendorf.jimagehash.hashAlgorithms

Modifier and Type	Class	Description
static class	DifferenceHash.DHash	An extended hash class allowing dhashes to be visually represented.

Methods in dev.brachtendorf.jimagehash.hashAlgorithms that return Hash

Modifier and Type	Method	Description
Hash	DifferenceHash.createAlgorithmSpecificHash(Hash original)
Hash	HashingAlgorithm.createAlgorithmSpecificHash(Hash original)	Wraps the values supplied in the argument hash into a hash object as it would be produced by this algorithm.
Hash	DifferenceHash.hash(BufferedImage image)
Hash	HashingAlgorithm.hash(BufferedImage image)	Calculate a hash for the given image.
Hash[]	HashingAlgorithm.hash(BufferedImage... images)	Calculate hashes for the given images.
Hash	HashingAlgorithm.hash(File imageFile)	Calculate a hash for the given image.
Hash[]	HashingAlgorithm.hash(File... imageFiles)	Calculate hashes for the given images.

Methods in dev.brachtendorf.jimagehash.hashAlgorithms with parameters of type Hash

Modifier and Type	Method	Description
Hash	DifferenceHash.createAlgorithmSpecificHash(Hash original)
Hash	HashingAlgorithm.createAlgorithmSpecificHash(Hash original)	Wraps the values supplied in the argument hash into a hash object as it would be produced by this algorithm.

Constructors in dev.brachtendorf.jimagehash.hashAlgorithms with parameters of type Hash

Constructor	Description
DHash(Hash h, DifferenceHash.Precision precision, int width, int height)

Uses of Hash in dev.brachtendorf.jimagehash.matcher

Methods in dev.brachtendorf.jimagehash.matcher with parameters of type Hash

Modifier and Type	Method	Description
boolean	TypedImageMatcher.AlgoSettings.apply(Hash hash, Hash hash1)

Uses of Hash in dev.brachtendorf.jimagehash.matcher.categorize

Fields in dev.brachtendorf.jimagehash.matcher.categorize with type parameters of type Hash

Modifier and Type	Field	Description
protected Map<String,Map<HashingAlgorithm,Hash>>	CategoricalMatcher.cachedHashes	Hashes of the added images

Methods in dev.brachtendorf.jimagehash.matcher.categorize with parameters of type Hash

Modifier and Type	Method	Description
protected double	CategoricalMatcher.addCategoricalImage(Hash[] hashes, int category, String uniqueId)
protected CategorizationResult	CategoricalMatcher.categorizeImage(String uniqueId, Hash[] hashes, Set<Integer> categoriesAltered)	Categorize an image on a subset of all categories with hashes present.
protected double	CategoricalMatcher.computeDistanceForCategory(Hash[] hashes, int category, double bestDistance)	Compute the distance between an image and a category cluster midpoint.
protected double	WeightedCategoricalMatcher.computeDistanceForCategory(Hash[] hashes, int category, double bestDistance)
protected double	CategoricalMatcher.computeDistanceToCluster(FuzzyHash cluster, Hash imageHash)
protected double	WeightedCategoricalMatcher.computeDistanceToCluster(FuzzyHash cluster, Hash imageHash)
protected int	CategoricalMatcher.getCategory(int iter, String uniqueId, Hash[] hashes, Set<Integer> categoriesAltered)
protected int	WeightedCategoricalMatcher.getCategory(int iter, String uniqueId, Hash[] hashes, Set<Integer> categoriesAltered)

Uses of Hash in dev.brachtendorf.jimagehash.matcher.categorize.supervised.randomForest

Method parameters in dev.brachtendorf.jimagehash.matcher.categorize.supervised.randomForest with type arguments of type Hash

Modifier and Type	Method	Description
protected Object[]	RandomForestCategorizer.createForest(int trees, int numVars, int numVarsRep, List<dev.brachtendorf.datastructures.Pair<FuzzyHash,HashingAlgorithm>> randomVariables, Map<HashingAlgorithm,Map<BufferedImage,Hash>> preComputedHashesTestAgainst, ExecutorService tPool)	Deprecated.

Uses of Hash in dev.brachtendorf.jimagehash.matcher.persistent

Fields in dev.brachtendorf.jimagehash.matcher.persistent with type parameters of type Hash

Modifier and Type	Field	Description
protected HashMap<String,Hash>	PersistentImageMatcher.addedImageMap
protected Map<HashingAlgorithm,Map<String,Hash>>	PersitentBinaryTreeMatcher.cachedHashes	Save the hashes of added images mapped to their unique id for fast retrieval.

Methods in dev.brachtendorf.jimagehash.matcher.persistent that return Hash

Modifier and Type	Method	Description
protected Hash	PersitentBinaryTreeMatcher.getHash(HashingAlgorithm algo, String uniqueId, BufferedImage bImage)

Uses of Hash in dev.brachtendorf.jimagehash.matcher.persistent.database

Methods in dev.brachtendorf.jimagehash.matcher.persistent.database that return Hash

Modifier and Type	Method	Description
protected Hash	DatabaseImageMatcher.reconstructHashFromDatabase(HashingAlgorithm hasher, byte[] bytes)	Reconstruct a hash value from the database

Methods in dev.brachtendorf.jimagehash.matcher.persistent.database with parameters of type Hash

Modifier and Type	Method	Description
protected List<Result<String>>	DatabaseImageMatcher.getSimilarImages(Hash targetHash, int maxDistance, HashingAlgorithm hasher)	Return all url descriptors which describe images within the provided hammington distance of the supplied hash