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A

AbstractBaseCluster - Class in net.sourceforge.javaocr.plugin.cluster

base cluster functionality.

AbstractBaseCluster() - Constructor for class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

AbstractBaseCluster(int) - Constructor for class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

AbstractBaseCluster(double[]) - Constructor for class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

amountSamples - Variable in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

AspectRatioExtractor - Class in net.sourceforge.javaocr.plugin.cluster.extractor

extract aspect ratio out of image

AspectRatioExtractor() - Constructor for class net.sourceforge.javaocr.plugin.cluster.extractor.AspectRatioExtractor

C

center() - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

lazily calculate and return expectation cluster

center() - Method in interface net.sourceforge.javaocr.plugin.cluster.Cluster

centroid of cluster

Cluster - Interface in net.sourceforge.javaocr.plugin.cluster

cluster represents some feature vectors belonging together.

CompositeExtractor - Class in net.sourceforge.javaocr.plugin.cluster

composite feature extractor - combines several extractors into one

CompositeExtractor(FeatureExtractor...) - Constructor for class net.sourceforge.javaocr.plugin.cluster.CompositeExtractor

computeDimension(double, int) - Method in class net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

computeDimension(double, int) - Method in class net.sourceforge.javaocr.plugin.cluster.SigmaWeightedEuclidianDistanceCluster

compute dimension normalised by sigma

currentSpaceNumber - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

D

dimensions - Variable in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

distance(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

distance(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

calculate mahalanubis distance

E

EuclidianDistanceCluster - Class in net.sourceforge.javaocr.plugin.cluster

cluster calculating euclidian distance

EuclidianDistanceCluster() - Constructor for class net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

EuclidianDistanceCluster(int) - Constructor for class net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

create cluster calculating euclidian distance between center and feature vector

EuclidianDistanceCluster(double[]) - Constructor for class net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

extract(Image) - Method in class net.sourceforge.javaocr.plugin.cluster.CompositeExtractor

delegate feature extraction from multiple backend extractors

extract(Image) - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.AspectRatioExtractor

extract(Image) - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

extractors - Variable in class net.sourceforge.javaocr.plugin.cluster.CompositeExtractor

F

free - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

FreeSpacesExtractor - Class in net.sourceforge.javaocr.plugin.cluster.extractor

extracts amount of contiguous free spaces in a glyph.

FreeSpacesExtractor() - Constructor for class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

G

getAmountSamples() - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

getDimensions() - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

getInvcov() - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

getMx() - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

getQuads() - Method in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

getSize() - Method in class net.sourceforge.javaocr.plugin.cluster.CompositeExtractor

getSize() - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.AspectRatioExtractor

getSize() - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

getSum() - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

getVar() - Method in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

lazily calculate and return variance cluster

I

index - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

invcov - Variable in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

M

MahalanobisClusterContainer - Class in net.sourceforge.javaocr.plugin.cluster

container class to serialize and deserialize cluster data to external storage.

MahalanobisClusterContainer() - Constructor for class net.sourceforge.javaocr.plugin.cluster.MahalanobisClusterContainer

MahalanobisDistanceCluster - Class in net.sourceforge.javaocr.plugin.cluster

cluster providing Mahalanobis distance meassure ( do not ask me to pronounce this )

MahalanobisDistanceCluster() - Constructor for class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

default constructor for sake of serialisation frameworks

MahalanobisDistanceCluster(int) - Constructor for class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

constructs mahalanobis distance cluster

MahalanobisDistanceCluster(double[], double[][]) - Constructor for class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

convenience constructor to instantiate trained distance cluster

matrix() - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

calculate covariance matrix and invert it

mx - Variable in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

N

net.sourceforge.javaocr.plugin.cluster - package net.sourceforge.javaocr.plugin.cluster

net.sourceforge.javaocr.plugin.cluster.extractor - package net.sourceforge.javaocr.plugin.cluster.extractor

NormalDistributionCluster - Class in net.sourceforge.javaocr.plugin.cluster

cluster with normally distributed features.

NormalDistributionCluster() - Constructor for class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

default constructor for sake of serialisation frameworks

NormalDistributionCluster(int) - Constructor for class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

constructs

NormalDistributionCluster(double[], double[]) - Constructor for class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

convenience constructor to create already trained distribution cluster

P

process(Image) - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

prepare image processing

processPixel(Image) - Method in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

process single pixel.

Q

quads - Variable in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

R

radius(List<double[]>) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

calculate maximal distance for group from center

radius(List<double[]>) - Method in interface net.sourceforge.javaocr.plugin.cluster.Cluster

computes maximal distance of sample from center of cluster

reductionFactor - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

S

setAmountSamples(int) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

setDimensions(int) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

setInvcov(double[][]) - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

setMetric(MahalanobisDistanceCluster) - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisClusterContainer

setMx(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

setQuads(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

setSum(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

setVar(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

SigmaWeightedEuclidianDistanceCluster - Class in net.sourceforge.javaocr.plugin.cluster

normalise dimenstion by sigma

SigmaWeightedEuclidianDistanceCluster(int) - Constructor for class net.sourceforge.javaocr.plugin.cluster.SigmaWeightedEuclidianDistanceCluster

create cluster calculating euclidian distance between center and feature vector

size - Variable in class net.sourceforge.javaocr.plugin.cluster.CompositeExtractor

spaceCount - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

sum - Variable in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

sumxy - Variable in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

T

train(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

training means coputing sum of values.

train(double[]) - Method in interface net.sourceforge.javaocr.plugin.cluster.Cluster

train cluster with feature vector

train(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.MahalanobisDistanceCluster

gather sampler - sum of x*y into matrix

train(double[]) - Method in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

perform sample image training - cumulate values and compute moments

V

var - Variable in class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

W

workingScan - Variable in class net.sourceforge.javaocr.plugin.cluster.extractor.FreeSpacesExtractor

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