Index (The OpenIMAJ Image Feature Extraction Library 1.3.9 API)

A B C D E F G H I K L M N O P R S T U V W X Y

A

AbstractDenseSIFT<IMAGE extends org.openimaj.image.Image<?,IMAGE>> - Class in org.openimaj.image.feature.dense.gradient.dsift: Base class for implementations of a dense SIFT feature extractors.
AbstractDenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
AbstractPixelStatisticsModel - Class in org.openimaj.image.pixel.statistics: Abstract base class for models based on pixel statistics of an image.
AbstractPixelStatisticsModel(int) - Constructor for class org.openimaj.image.pixel.statistics.AbstractPixelStatisticsModel: Construct the model with the given number of dimensions
accum(MBFImage, int, int) - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
accum(MBFImage) - Method in class org.openimaj.image.pixel.statistics.HistogramModel
accum(MBFImage, int, int) - Method in class org.openimaj.image.pixel.statistics.MaskingBlockHistogramModel
accum(MBFImage) - Method in class org.openimaj.image.pixel.statistics.MaskingHistogramModel
AchantaSaliency - Class in org.openimaj.image.saliency: Implementation of the saliency map algorithm described in: R.
AchantaSaliency(float) - Constructor for class org.openimaj.image.saliency.AchantaSaliency: Construct with the given amount of smoothing.
AchantaSaliency() - Constructor for class org.openimaj.image.saliency.AchantaSaliency: Construct with a smoothing of 1 pixel standard deviation.
ActiveShapeModel> - Class in org.openimaj.image.model.asm: Implementation of a basic Active Shape Model.
ActiveShapeModel(PointDistributionModel, LandmarkModel[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel: Construct an ActiveShapeModel from a pre-trained PointDistributionModel and set of LandmarkModels.
ActiveShapeModel.IterationResult - Class in org.openimaj.image.model.asm: Class to hold the response of a single iteration of model fitting.
Aestheticode - Class in org.openimaj.image.feature.astheticode: A detected Aestheticode
Aestheticode(int[]) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode: Construct with a code
Aestheticode(Aestheticode) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode: Construct with another Aestheticode
Aestheticode(Contour) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode: Construct with a border
AestheticodeDetector - Class in org.openimaj.image.feature.astheticode: Aestheticode detection algorithm.
AestheticodeDetector() - Constructor for class org.openimaj.image.feature.astheticode.AestheticodeDetector: Constructs with the min and max children to the default (both are 5) and max childless children to 0
AestheticodeDetector(int, int, int) - Constructor for class org.openimaj.image.feature.astheticode.AestheticodeDetector: Construct with the given parameters
AffineInvariantMoments - Class in org.openimaj.image.connectedcomponent.proc: Affine-invariant moment descriptor for the shape of a connected component.
AffineInvariantMoments() - Constructor for class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
algorithm - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
alpha - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
alpha - Variable in class org.openimaj.image.feature.global.ROIProportion
AMToolsSampleDataset - Class in org.openimaj.image.model.asm.datasets: Tim Cootes's sample appearance modelling data
AMToolsSampleDataset() - Constructor for class org.openimaj.image.model.asm.datasets.AMToolsSampleDataset
analyseImage(FImage) - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
analyseImage(FImage) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
analyseImage(FImage) - Method in class org.openimaj.image.contour.SuzukiContourProcessor
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
analyseImage(IMAGE, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Compute the dense sift descriptors inside the bounds rectangle of the given image.
analyseImage(IMAGE) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Compute the dense sift descriptors of the given image.
analyseImage(MBFImage, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
analyseImage(FImage, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
analyseImage(IMAGE, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.gradient.HOG
analyseImage(FImage, FImage) - Method in class org.openimaj.image.feature.dense.gradient.HOG: Analyse the given image, but construct the internal data such that the gradient magnitudes are multiplied by the given edge map before being accumulated.
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.gradient.PHOG
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.AvgBrightness
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ColourContrast
analyseImage(IMAGE) - Method in class org.openimaj.image.feature.global.Gist
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.HorizontalIntensityDistribution
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.HueStats
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.LRIntensityBalance
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.LuoSimplicity
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.Naturalness
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.RGBRMSContrast
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.RMSContrast
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ROIProportion
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.RuleOfThirds
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.Saturation
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.SaturationVariation
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.Sharpness
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.SharpnessVariation
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.SharpPixelProportion
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.WeberContrast
analyseImage(FImage) - Method in class org.openimaj.image.feature.global.YehBokehEstimator
analyseImage(MBFImage) - Method in class org.openimaj.image.saliency.AchantaSaliency
analyseImage(FImage) - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
analyseImage(FImage) - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
analyseImage(MBFImage) - Method in class org.openimaj.image.saliency.YehSaliency
analyseImage(FImage) - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
analyseImage(FImage, FImage) - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
analysePixel(Float[]) - Method in class org.openimaj.image.feature.global.Colorfulness
apply(Contour) - Method in class org.openimaj.image.feature.astheticode.AestheticodeDetector
ApproximateDenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift: Implementation of an approximate dense SIFT feature extractor.
ApproximateDenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT: Construct with the default configuration: standard SIFT geometry (4x4x8), 5px x 5px spatial bins, 5px step size, gaussian window size of 2 and value threshold of 0.2.
ApproximateDenseSIFT(int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT: Construct with the given step size (for both x and y) and binSize.
ApproximateDenseSIFT(int, int, int, int, int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT: Construct with the given configuration.
ApproximateDenseSIFT(int, int, int, int, int, int, int, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT: Construct with the given configuration.
ApproximateDenseSIFT(int, int, int, int, int, int, int, float, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT: Construct with the given configuration.
area - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The area of the component
averageBrightness - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
AvgBrightness - Class in org.openimaj.image.feature.global: Extract the average brightness of an image.
AvgBrightness() - Constructor for class org.openimaj.image.feature.global.AvgBrightness: Construct with the NTSC_LUMINANCE mode and no mask set
AvgBrightness(AvgBrightness.Mode) - Constructor for class org.openimaj.image.feature.global.AvgBrightness: Construct with the given mode and no mask set
AvgBrightness(AvgBrightness.Mode, FImage) - Constructor for class org.openimaj.image.feature.global.AvgBrightness: Construct with the given mode and a mask.
AvgBrightness.Mode - Enum in org.openimaj.image.feature.global: Modes for computing brightness.

B

BasicDescriptiveStatisticsModel - Class in org.openimaj.image.pixel.statistics: A model of the all the values of the pixels in an image or set of images, using basic descriptive statistics (mean, mode, median, range, variance).
BasicDescriptiveStatisticsModel(int) - Constructor for class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: Construct a BasicDescriptiveStatisticsModel with the given number of dimensions.
BasicLocalBinaryPattern - Class in org.openimaj.image.feature.dense.binarypattern: Implementation of the original 3x3 form of a local binary pattern.
BasicLocalBinaryPattern() - Constructor for class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
BasicShapeDescriptor - Class in org.openimaj.image.connectedcomponent.proc: Basic descriptors of the shape of a connected component.
BasicShapeDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
BasicShapeDescriptor.BasicShapeDescriptorType - Enum in org.openimaj.image.connectedcomponent.proc: An enum of all the different basic shape descriptors.
bgThreshold - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
binaryHeader() - Method in class org.openimaj.image.model.EigenImages
binaryHeader() - Method in class org.openimaj.image.model.FisherImages
binHeight - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Height of a single bin of the sampling window (in pixels).
binsPerBand - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
binWidth - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Width of a single bin of the sampling window (in pixels).
BlockHistogramModel - Class in org.openimaj.image.pixel.statistics: An array of multidimensional histograms calculated from image pixels (assumes image is in 0-1 range)
BlockHistogramModel(int, int, int...) - Constructor for class org.openimaj.image.pixel.statistics.BlockHistogramModel: Construct with the given parameters
blocksize_x - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
blocksize_y - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
BoundaryDistanceDescriptor - Class in org.openimaj.image.connectedcomponent.proc: Distance-from-centroid descriptor for convex shapes.
BoundaryDistanceDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor: Construct the BoundaryDistanceDescriptor with both scale and orientation normalisation enabled
BoundaryDistanceDescriptor(boolean, boolean) - Constructor for class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor: Construct the BoundaryDistanceDescriptor with optional scale and orientation invariance.
boundaryExtension - Variable in class org.openimaj.image.feature.global.Gist: The amount of padding to add before convolving with the Gabor functions
boxMode - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
ByteDSIFTKeypoint - Class in org.openimaj.image.feature.dense.gradient.dsift: Dense SIFT keypoint with a location and byte feature vector.
ByteDSIFTKeypoint() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint: Construct with the default feature vector length for SIFT (128).
ByteDSIFTKeypoint(int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint: Construct with the given feature vector length.
ByteDSIFTKeypoint(float, float, byte[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint: Construct with the given parameters.
ByteDSIFTKeypoint(float, float, float[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint: Construct with the given parameters.

C

calculateHistograms(int[][], int) - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram: Compute the histograms for the given pattern image, encoded with the given number of bits.
calculateHomography(Polygon) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Calculates the point pairing for a given distorted polygon into orthogonal space.
calculateLBP(FImage) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern: Calculate the LBP for every pixel in the image.
calculateLBP(FImage, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern: Calculate the basic LBP for a single point.
calculateLBP(FImage, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern: Calculate the basic LBP for a single point.
calculateLBP(FImage, float, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern: Calculate the LBP for every pixel in the image.
calculateLBP(FImage, float, int, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern: Calculate the extended LBP for a single point.
calculateLBP(FImage, float, int, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern: Calculate the extended LBP for a single point.
calculateLTP(FImage, float, int, float) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Calculate the LBP for every pixel in the image.
calculateLTP(FImage, float, int, float, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Calculate the LTP for a single point.
calculateLTP(FImage, float, int, float, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Calculate the LTP for a single point.
calculateROI() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
calculateUniformPatterns(int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
canny - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: The canny edge detector to use for the SWT.
cc - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
centroid - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
chfit - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The ratio of the area of the component to the area of its convex hull
children - Variable in class org.openimaj.image.contour.Contour: sub contours
classifyImage(T) - Method in interface org.openimaj.image.model.ImageClassificationModel: Classify the given image and return the corresponding probability map
classifyImage(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
classifyImage(T) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
classifyPatch(MBFImage) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
classifyPatch(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel: Classify a patch, returning the probability of the central pixel belonging to the class.
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
classifyPixel(Q) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
clearHistograms() - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
clone() - Method in interface org.openimaj.image.model.ImageClassificationModel
clone() - Method in class org.openimaj.image.model.patch.HistogramPatchModel
clone() - Method in class org.openimaj.image.model.patch.PatchClassificationModel
clone() - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
clone() - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
clone() - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
clone() - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
clone() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
clone() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
code - Variable in class org.openimaj.image.feature.astheticode.Aestheticode: The actual code
colmodel - Variable in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
Colorfulness - Class in org.openimaj.image.feature.global: Implementation of Hasler and Susstruck's Colorfulness metric http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf?version=1
Colorfulness() - Constructor for class org.openimaj.image.feature.global.Colorfulness
Colorfulness.ColorfulnessAttr - Enum in org.openimaj.image.feature.global: Classes of colourfulness
colourAverage(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel: For a given index, get the average colour which would map to it
ColourContrast - Class in org.openimaj.image.feature.global: Implementation of a color contrast feature.
ColourContrast() - Constructor for class org.openimaj.image.feature.global.ColourContrast: Construct the ColourContrast feature extractor using the default settings for the FelzenszwalbHuttenlocherSegmenter.
ColourContrast(float, float, int) - Constructor for class org.openimaj.image.feature.global.ColourContrast: Construct the ColourContrast feature extractor with the given parameters for the underlying FelzenszwalbHuttenlocherSegmenter.
ColourDenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift: Implementation of colour dense-sift.
ColourDenseSIFT(DenseSIFT, ColourSpace) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT: Construct with the given internal DenseSIFT extractor to apply to each band of the image created by converting the input to #analyseImage(MBFImage) or ColourDenseSIFT.analyseImage(MBFImage, Rectangle) to the given ColourSpace.
ColourDescriptor - Class in org.openimaj.image.connectedcomponent.proc: Descriptors based on the first-order statistics of the colour of pixel values in an image.
ColourDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor: Construct with no image.
ColourDescriptor(MBFImage) - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor: Construct with the given image.
ColourDescriptor.ColourDescriptorType - Enum in org.openimaj.image.connectedcomponent.proc: The different types of statistic available.
colourRange(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel: For a given index, map to the range of colours which could map to it
colourSpace - Variable in class org.openimaj.image.segmentation.KMColourSegmenter
compactness - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The compactness of the component.
compare - Variable in class org.openimaj.image.model.patch.HistogramPatchModel
componentMap - Variable in class org.openimaj.image.saliency.YehSaliency
components - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
computeBounds(List<LetterCandidate>) - Static method in class org.openimaj.image.text.extraction.swt.LetterCandidate: Compute the regular bounding rectangle of the given list of letter candidates
computeBrightness(MBFImage, FImage) - Method in enum org.openimaj.image.feature.global.AvgBrightness.Mode: Compute the average brightness of the given image (applying the mask if it's not null).
computeCost(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel
computeCost(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
computeCost(I, Point2d, PointList) - Method in interface org.openimaj.image.model.landmark.LandmarkModel: Evaluate the cost function using the given image and point.
computeCost(FImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
computeCost(MBFImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
computeCost(I, Line2d) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel: Compute the cost of a vector of samples extracted along a line in the given image to the internal model.
computeMahalanobis(float[]) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel: Compute the Mahalanobis distance of the given vector to the internal model.
computeMahalanobis(FImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel: Compute the Mahalanobis distance of a vector of samples extracted along a line in the given image to the internal model.
computeMahalanobis(float[]) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel: Compute the Mahalanobis distance of the given vector to the internal model.
computeMahalanobis(MBFImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel: Compute the Mahalanobis distance of a vector of samples extracted along a line in the given image to the internal model.
computeMahalanobisWindowed(FImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel: Extract numSamples samples from the line in the image and then compare this model at each overlapping position starting from the first sample at the beginning of the line.
computeMahalanobisWindowed(float[]) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel: Compare this model at each overlapping position of the given vector starting from the first sample and return the distance for each overlap.
computeMahalanobisWindowed(MBFImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel: Extract numSamples samples from the line in the image and then compare this model at each overlapping position starting from the first sample at the beginning of the line.
computeMahalanobisWindowed(float[][]) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel: Compare this model at each overlapping position of the given vector starting from the first sample and return the distance for each overlap.
computeMovementDistance(FImage, Line2d, int, Point2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
computeMovementDistance(MBFImage, Line2d, int, Point2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
computeMovementDistance(I, Line2d, int, Point2d) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel: Compute the distance between the centre of the given line and the given point, normalised as a function of the length of the sampling line.
computeNewBest(FImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
computeNewBest(MBFImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
computeNewBest(I, Line2d, int) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel: Extract numSamples samples from the line in the image and then compare this model at each overlapping position starting from the first sample at the beginning of the line.
computeNumberOfSamplingBlocks() - Method in class org.openimaj.image.feature.global.Gist: Compute the number of sampling blocks that are used for every filter.
ConnectedComponentLabeler - Class in org.openimaj.image.connectedcomponent: A connected component labeler.
ConnectedComponentLabeler(ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler: Construct using the default (two-pass) algorithm, background pixels having a value of 0 or less, and the given ConnectedComponent.ConnectMode.
ConnectedComponentLabeler(ConnectedComponentLabeler.Algorithm, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler: Construct using the given algorithm, background pixels having a value of 0 or less, and the given ConnectedComponent.ConnectMode.
ConnectedComponentLabeler(ConnectedComponentLabeler.Algorithm, float, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler: Construct using the given algorithm, background pixel threshold, and the given ConnectedComponent.ConnectMode.
ConnectedComponentLabeler.Algorithm - Enum in org.openimaj.image.connectedcomponent: Different algorithms for finding ConnectedComponents.
ConnectedThresholdSegmenter - Class in org.openimaj.image.segmentation: Simple wrapper to make thresholding algorithms into Segmenters by applying the thresholding operation and then applying connected component labeling.
ConnectedThresholdSegmenter(Processor<FImage>, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.segmentation.ConnectedThresholdSegmenter: Construct with the given thresholding algorithm implementation and connection mode.
ConnectedThresholdSegmenter(Processor<FImage>, ConnectedComponentLabeler.Algorithm, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.segmentation.ConnectedThresholdSegmenter: Construct with the given thresholding algorithm implementation.
Contour - Class in org.openimaj.image.contour: A contour or hierarchical set of contours within an image.
Contour(ContourType) - Constructor for class org.openimaj.image.contour.Contour: Construct a contour with the given type and start at the origin
Contour(ContourType, int, int) - Constructor for class org.openimaj.image.contour.Contour: Construct a contour with the given type and start pixel
Contour(ContourType, Pixel) - Constructor for class org.openimaj.image.contour.Contour: Construct a contour with the given type and start pixel
Contour(int, int) - Constructor for class org.openimaj.image.contour.Contour: Construct a contour with the given starting coordinate and a null type.
contour(FImage, Pixel, Pixel) - Method in class org.openimaj.image.contour.ContourFollowingStrategy: Follow the contour, adding each pixel to a list.
contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.ContourFollowingStrategy: Given some starting pixel in an image on a contour and the direction of a non starting image, return each pixel on a contour from the start pixel in the image.
contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.MooreNeighborStrategy
contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.SuzukiNeighborStrategy
ContourFollowingStrategy - Class in org.openimaj.image.contour: A contour Following strategy implements a Contour Tracing algorithm that extracts a boundary from an image
ContourFollowingStrategy() - Constructor for class org.openimaj.image.contour.ContourFollowingStrategy
contourIterable() - Method in class org.openimaj.image.contour.Contour: Get an Iterable over all the contours belonging to this root (including the root itself)
contourIterator() - Method in class org.openimaj.image.contour.Contour: Get an iterator over the complete set of contours (including the root itself)
ContourRenderer - Class in org.openimaj.image.contour: MBFImageRenderer for drawing Contours.
ContourRenderer(MBFImage) - Constructor for class org.openimaj.image.contour.ContourRenderer: Construct with the given target image.
ContourType - Enum in org.openimaj.image.contour: The contour type
cornerEst - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The estimated number of corners of the component
create(List<IndependentPair<PointList, IMAGE>>, PointListConnections) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets: Create a dataset with the given data.
createLandmarkModel() - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory
createLandmarkModel(float) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory
createLandmarkModel() - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
createLandmarkModel(float) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
createLandmarkModel() - Method in interface org.openimaj.image.model.landmark.LandmarkModelFactory: Create a new pre-configured LandmarkModel.
createLandmarkModel(float) - Method in interface org.openimaj.image.model.landmark.LandmarkModelFactory: Create a new pre-configured LandmarkModel.
cx - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The x coordinate of the component centroid
cy - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The y coordinate of the component centroid

D

data - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
DEBUG - Static variable in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Whether to debug the text extractor - displaying images as it goes
DEFAULT_BOUNDARY_EXTENSION - Static variable in class org.openimaj.image.feature.global.Gist: The default amount of padding to apply before convolving with the Gabor filters
DEFAULT_NUMBER_OF_BLOCKS - Static variable in class org.openimaj.image.feature.global.Gist: The default number spatial blocks
DEFAULT_ORIENTATIONS_PER_SCALE - Static variable in class org.openimaj.image.feature.global.Gist: The default number of filter orientations per scale (from HF to LF)
DEFAULT_PREFILTER_FC - Static variable in class org.openimaj.image.feature.global.Gist: The default number of cycles per image for the pre-filter Gaussian
DEFAULT_SIZE - Static variable in class org.openimaj.image.feature.global.Gist: Default image size (both height and width) for fixed size Gist
DenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift: Implementation of a dense SIFT feature extractor for FImages.
DenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Construct with the default configuration: standard SIFT geometry (4x4x8), 5px x 5px spatial bins, 5px step size, gaussian window size of 2 and value threshold of 0.2.
DenseSIFT(int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Construct with the given step size (for both x and y) and binSize.
DenseSIFT(int, int, int, int, int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Construct with the given configuration.
DenseSIFT(int, int, int, int, int, int, int, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Construct with the given configuration.
DenseSIFT(int, int, int, int, int, int, int, float, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Construct with the given configuration.
DepthOfFieldEstimator - Class in org.openimaj.image.saliency: Construct a map that shows the "focus" of each pixel.
DepthOfFieldEstimator(int, int, int, int) - Constructor for class org.openimaj.image.saliency.DepthOfFieldEstimator: Construct with the given parameters.
DepthOfFieldEstimator() - Constructor for class org.openimaj.image.saliency.DepthOfFieldEstimator: Construct with the default values (max kernel size = 50, step size = 1, 41 bins, window size of 3).
descriptor - Variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor: The descriptor vector, measusring distance from centroid per degree
DESCRIPTOR_LENGTH - Static variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor: The number of samples
descriptors - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Extracted descriptors
detect(FImage, SWTTextDetector) - Method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction
directedContour(FImage, Pixel, Pixel, Operation<IndependentPair<Pixel, Direction>>) - Method in class org.openimaj.image.contour.MooreNeighborStrategy: Directed contour following.
directedContour(FImage, Pixel, Pixel, Operation<IndependentPair<Pixel, boolean[]>>) - Method in class org.openimaj.image.contour.SuzukiNeighborStrategy: Directed contour following.
direction - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The primary orientation of the component
direction - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: The "direction" to perform the SWT
DoubleFV2FImage - Class in org.openimaj.image.feature: Transform a DoubleFV into an FImage.
DoubleFV2FImage(int, int) - Constructor for class org.openimaj.image.feature.DoubleFV2FImage: Construct the converter with the given image size
doubleSize - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Upscale the image to double size before applying the SWT.
drawContours(MBFImage, Contour) - Static method in class org.openimaj.image.contour.ContourRenderer: Utility function to quickly draw the contour to the image.
drawContours(Contour) - Method in class org.openimaj.image.contour.ContourRenderer: Draw the given contour.

E

EigenImages - Class in org.openimaj.image.model: Implementation of EigenImages.
EigenImages() - Constructor for class org.openimaj.image.model.EigenImages: For serialisation
EigenImages(int) - Constructor for class org.openimaj.image.model.EigenImages: Construct with the given number of principal components.
elongatedness - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The elongatedness of the component.
energies - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Descriptor energies
equals(Object) - Method in class org.openimaj.image.feature.astheticode.Aestheticode
estimate(List<? extends IndependentPair<T, FImage>>) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
estimate(List<? extends IndependentPair<T, FImage>>) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
estimateModel(MBFImage...) - Method in class org.openimaj.image.pixel.statistics.AbstractPixelStatisticsModel: Estimate the model parameters from the given image(s).
estimateModel(FImage...) - Method in class org.openimaj.image.pixel.statistics.AbstractPixelStatisticsModel: Estimate the model parameters from the given image(s).
estimateModel(MBFImage...) - Method in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
estimateModel(MBFImage...) - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
estimateModel(MBFImage...) - Method in class org.openimaj.image.pixel.statistics.HistogramModel
ExtendedLocalBinaryPattern - Class in org.openimaj.image.feature.dense.binarypattern: Implementation of an extended local binary pattern which has a variable number of samples taken from a variable sized circle about a point.
ExtendedLocalBinaryPattern(float, int) - Constructor for class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern: Construct an extended LBP extractor with the given parameters.
extract(WindowedHistogramExtractor, Rectangle, Histogram) - Method in class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy
extract(WindowedHistogramExtractor, Rectangle, Histogram) - Method in class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy
extractBlock(FImage, Point2d, int) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
extractFeature(DoubleFV) - Method in class org.openimaj.image.feature.DoubleFV2FImage
extractFeature(DoubleFV, int, int) - Static method in class org.openimaj.image.feature.DoubleFV2FImage: Transform a DoubleFV into an FImage.
extractFeature(FImage) - Method in class org.openimaj.image.feature.FImage2DoubleFV
extractFeature(FImage) - Method in class org.openimaj.image.feature.FImage2FloatFV
extractFeature(FloatFV) - Method in class org.openimaj.image.feature.FloatFV2FImage
extractFeature(FloatFV, int, int) - Static method in class org.openimaj.image.feature.FloatFV2FImage: Transform a FloatFV into an FImage.
extractFeature(IMAGE) - Method in class org.openimaj.image.feature.ImageAnalyserFVFeatureExtractor
extractFeature(FImage) - Method in class org.openimaj.image.model.EigenImages
extractFeature(FImage) - Method in class org.openimaj.image.model.FisherImages
extractFeatures() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
extractFeatures() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Extract the DSIFT features
extractGist(IMAGE) - Method in class org.openimaj.image.feature.global.Gist
extractLines(List<LetterCandidate>, SWTTextDetector.Options) - Static method in class org.openimaj.image.text.extraction.swt.LineCandidate: Computes lines of text by merging pairs of characters that have similar directions.
extractor - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
extractPatternImage(int[][], int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Compute a binary map showing the locations of the specified pattern code.
extractPatternImages(int[][], int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Compute all binary maps for each possible pattern code given the number of bits used to encode patterns.
extractPatternMaps(int[][], int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Compute all binary maps for each possible pattern code given the number of bits used to encode patterns.
extractPatternPixels(int[][], int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Compute all pixels matching each possible pattern code given the number of bits used to encode patterns.
extractWords(LineCandidate, SWTTextDetector.Options) - Static method in class org.openimaj.image.text.extraction.swt.WordCandidate

F

Factory(PointListConnections, FLineSampler, int, int, float) - Constructor for class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory: Default constructor.
Factory() - Constructor for class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
FelzenszwalbHuttenlocherSegmenter & org.openimaj.image.processor.SinglebandImageProcessor.Processable<Float,org.openimaj.image.FImage,I>> - Class in org.openimaj.image.segmentation: Implementation of the segmentation algorithm described in: Efficient Graph-Based Image Segmentation Pedro F.
FelzenszwalbHuttenlocherSegmenter() - Constructor for class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter: Default constructor
FelzenszwalbHuttenlocherSegmenter(float, float, int) - Constructor for class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter: Construct with the given parameters
FImage2DoubleFV - Class in org.openimaj.image.feature: Transform an FImage into a DoubleFV.
FImage2DoubleFV() - Constructor for class org.openimaj.image.feature.FImage2DoubleFV
FImage2FloatFV - Class in org.openimaj.image.feature: Transform an FImage into a FloatFV.
FImage2FloatFV() - Constructor for class org.openimaj.image.feature.FImage2FloatFV
findComponents(FImage, float, ConnectedComponent.ConnectMode) - Method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm: Find the connected components in an image.
findComponents(FImage) - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler: Syntactic sugar for calling ConnectedComponentLabeler.analyseImage(FImage) followed by ConnectedComponentLabeler.getComponents();
findComponents(FImage) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler: Syntactic sugar for calling GreyscaleConnectedComponentLabeler.analyseImage(FImage) followed by GreyscaleConnectedComponentLabeler.getComponents();
findContours(FImage) - Static method in class org.openimaj.image.contour.SuzukiContourProcessor: Find contours in the given image and return the border
findContours(FImage, SuzukiContourProcessor) - Static method in class org.openimaj.image.contour.SuzukiContourProcessor: Detect borders hierarchically in this binary image.
findLetters(List<ConnectedComponent>, FImage, FImage, SWTTextDetector.Options) - Static method in class org.openimaj.image.text.extraction.swt.LetterCandidate: Filter the components to find likely letter candidates.
finish() - Method in class org.openimaj.image.contour.Contour: Complete this contour by computing it's bounding box
FisherImages - Class in org.openimaj.image.model: Implementation of Fisher Images (aka "FisherFaces").
FisherImages(int) - Constructor for class org.openimaj.image.model.FisherImages: Construct with the given number of components.
fit(I, PointList) - Method in class org.openimaj.image.model.asm.ActiveShapeModel: Iteratively apply ActiveShapeModel.performIteration(Image, PointList) until the maximum number of iterations is exceeded, or the number of points that moved less than 0.5 of their maximum distance in an iteration is less than the target inlier percentage.
fit - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult: The percentage of points that moved less than 50% of their allowed distance
fit(I, PointList) - Method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel: Perform multi-resolution fitting of the initial shape to the initial image.
FixedHOGStrategy - Class in org.openimaj.image.feature.dense.gradient.binning: Implementation of an SpatialBinningStrategy that extracts normalised HOG features in the style defined by Dalal and Triggs.
FixedHOGStrategy(int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy: Construct with square cells of the given size (in pixels).
FixedHOGStrategy(int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy: Construct with square cells of the given size (in pixels).
FixedHOGStrategy(int, int, int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy: Construct with square cells of the given size (in pixels).
FixedHOGStrategy.BlockNormalisation - Enum in org.openimaj.image.feature.dense.gradient.binning: Block normalisation schemes
fixedSize - Variable in class org.openimaj.image.feature.global.Gist
FlexibleHOGStrategy - Class in org.openimaj.image.feature.dense.gradient.binning: A SpatialBinningStrategy very much like the FixedHOGStrategy, but with flexibly sized cells that grow/shrink such that the number of cells in any given window is constant.
FlexibleHOGStrategy(int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy: Construct with the given number of cells per window (or image).
FlexibleHOGStrategy(int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy: Construct with the given number of cells per window (or image).
FlexibleHOGStrategy(int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy: Construct with the given number of cells per window (or image).
FlexibleHOGStrategy(int, int, int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy: Construct with the given number of cells per window (or image).
FloatDSIFTKeypoint - Class in org.openimaj.image.feature.dense.gradient.dsift: Dense SIFT keypoint with a location and float feature vector.
FloatDSIFTKeypoint() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint: Construct with the default feature vector length for SIFT (128).
FloatDSIFTKeypoint(int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint: Construct with the given feature vector length.
FloatDSIFTKeypoint(float, float, float[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint: Construct with the given parameters.
FloatFV2FImage - Class in org.openimaj.image.feature: Transform a FloatFV into an FImage.
FloatFV2FImage(int, int) - Constructor for class org.openimaj.image.feature.FloatFV2FImage: Construct the converter with the given image size
floodFill(FImage, Pixel, int[][], int) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
FNormalLandmarkModel - Class in org.openimaj.image.model.landmark: An FNormalLandmarkModel is a landmark represented by the surface normal line of a point (which is usually part of a PointList in an FImage connected by PointListConnections).
FNormalLandmarkModel(PointListConnections, FLineSampler, int, int, float) - Constructor for class org.openimaj.image.model.landmark.FNormalLandmarkModel: Default constructor.
FNormalLandmarkModel.Factory - Class in org.openimaj.image.model.landmark: A factory for producing FNormalLandmarkModels
forceWait() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale: Helper method for debugging when viewing images
FPatchLandmarkModel - Class in org.openimaj.image.model.landmark: An FPatchLandmarkModel is a landmark represented by the local patch of pixels around of a point in an FImage.
FPatchLandmarkModel() - Constructor for class org.openimaj.image.model.landmark.FPatchLandmarkModel
FPatchLandmarkModel.Factory - Class in org.openimaj.image.model.landmark: A factory for producing FPatchLandmarkModels
FStatisticalPixelProfileModel - Class in org.openimaj.image.pixel.statistics: An FStatisticalPixelProfileModel is a statistical model of pixels from an FImage sampled along a line.
FStatisticalPixelProfileModel(int, FLineSampler) - Constructor for class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel: Construct a new FStatisticalPixelProfileModel with the given number of samples per line, and the given sampling strategy.

G

gaborFilters - Variable in class org.openimaj.image.feature.global.Gist
gamma - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
gauss - Variable in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
gaussianWindowSize - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Size of the Gaussian window (in relative to of the size of a bin)
getArray(int) - Method in class org.openimaj.image.model.patch.MBFPatchClassificationModel
getArray(int) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
getArray(int) - Method in class org.openimaj.image.model.pixel.MBFPixelClassificationModel
getArray(int) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
getAttr(double) - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr: Get the colourfulness class for a given colourfulness value.
getAttr(double, double) - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr: Estimate the tone from the given mean and variance of the hue.
getBasisVector(int) - Method in class org.openimaj.image.model.FisherImages: Get a specific basis vector as a double array.
getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: (Optional operation) Get the height of a single bin of the sampling window (in pixels).
getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: This returns the bin size of the zeroth level only.
getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: (Optional operation) Get the width of a single bin of the sampling window (in pixels).
getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: This returns the bin size of the zeroth level only.
getBlurredPixelProportion() - Method in class org.openimaj.image.feature.global.SharpPixelProportion
getBoundingBoxPaddingPc() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Get the expansion value of the bounding boxes that are generated for the text regions.
getBrightness() - Method in class org.openimaj.image.feature.global.AvgBrightness: Get the brightness.
getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getByteKeypointsGrouped() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
getByteKeypointsGrouped(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
getColorfulness() - Method in class org.openimaj.image.feature.global.Colorfulness
getColorfulnessAttribute() - Method in class org.openimaj.image.feature.global.Colorfulness
getComparisonMeasure() - Method in class org.openimaj.image.model.patch.HistogramPatchModel
getComponents() - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
getComponents() - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
getConnections() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset: Get the connections between the points
getContrast() - Method in class org.openimaj.image.feature.global.RGBRMSContrast: Get the contrast of the last image analysed with RGBRMSContrast.analyseImage(MBFImage)
getContrast() - Method in class org.openimaj.image.feature.global.RMSContrast: Get the contrast of the last image analysed with RMSContrast.analyseImage(FImage)
getContrast() - Method in class org.openimaj.image.feature.global.WeberContrast: Get the contrast of the last image analysed with WeberContrast.analyseImage(FImage)
getCovariance() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
getCovariance() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the computed raw dense SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) .
getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Get the computed raw dense SIFT descriptors from the previous call to #analyseImage(FImage) or DenseSIFT.analyseImage(FImage, Rectangle) .
getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getFeatureMap() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor: Get the feature map for the image.
getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
getFeatureVector(BasicShapeDescriptor) - Method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType: Create a @link{FeatureVector} representation of the specified description
getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
getFeatureVector(ColourDescriptor) - Method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType: Extract the feature for the given descriptor.
getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
getFeatureVector(Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.HOG: Compute the HOG feature for the given window.
getFeatureVector(Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.PHOG: Extract the PHOG feature for the specified region of the image last analysed with PHOG.analyseImage(FImage).
getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.PHOG: Extract the PHOG feature for the whole of the image last analysed with PHOG.analyseImage(FImage).
getFeatureVector() - Method in class org.openimaj.image.feature.global.AvgBrightness
getFeatureVector() - Method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr
getFeatureVector() - Method in class org.openimaj.image.feature.global.Colorfulness
getFeatureVector() - Method in class org.openimaj.image.feature.global.ColourContrast
getFeatureVector() - Method in class org.openimaj.image.feature.global.HorizontalIntensityDistribution
getFeatureVector() - Method in class org.openimaj.image.feature.global.HueStats
getFeatureVector() - Method in class org.openimaj.image.feature.global.LRIntensityBalance
getFeatureVector() - Method in class org.openimaj.image.feature.global.LuoSimplicity
getFeatureVector() - Method in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
getFeatureVector() - Method in class org.openimaj.image.feature.global.Naturalness
getFeatureVector() - Method in class org.openimaj.image.feature.global.RGBRMSContrast
getFeatureVector() - Method in class org.openimaj.image.feature.global.RMSContrast
getFeatureVector() - Method in class org.openimaj.image.feature.global.ROIProportion
getFeatureVector() - Method in class org.openimaj.image.feature.global.RuleOfThirds
getFeatureVector() - Method in class org.openimaj.image.feature.global.Saturation
getFeatureVector() - Method in class org.openimaj.image.feature.global.SaturationVariation
getFeatureVector() - Method in class org.openimaj.image.feature.global.Sharpness
getFeatureVector() - Method in class org.openimaj.image.feature.global.SharpnessVariation
getFeatureVector() - Method in class org.openimaj.image.feature.global.SharpPixelProportion
getFeatureVector() - Method in class org.openimaj.image.feature.global.WeberContrast
getFeatureVector() - Method in class org.openimaj.image.feature.global.YehBokehEstimator
getFeatureVector() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
getFeatureVector() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments: Get all the values of the descriptor as an array.
getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: Get all the values of the descriptor as an array in the order area, centroid_x, centroid_y, direction, elongatedness, compactness convex_hull_fit, corner_count
getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor: Get the feature vector as a double array
getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments: Get all the values of the descriptor as an array.
getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with float vectors.
getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with float vectors.
getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getFloatKeypointsGrouped() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with float vectors.
getFloatKeypointsGrouped(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with float vectors.
getHistogram() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram: Get the histograms as a single FloatFV.
getHistograms() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram: Get the histograms
getHueVariance() - Method in class org.openimaj.image.feature.global.HueStats: Get the variance in hue value.
getImages() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset: Get the image for each instance
getInlierPercentage() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
getInverseCovariance() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
getInverseCovariance() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
getLandmarkModels() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
getLetters() - Method in class org.openimaj.image.text.extraction.swt.LineCandidate: Get the letters corresponding to this line.
getLetters() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector: Get the unfiltered detected characters.
getLetters() - Method in class org.openimaj.image.text.extraction.swt.WordCandidate: Get the letters within this word.
getLevelDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the computed raw dense SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) .
getLine() - Method in class org.openimaj.image.text.extraction.swt.WordCandidate: Get the line containing this word.
getLines() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector: Get the detected candidate lines of text
getMaxIterations() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
getMean() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
getMean() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
getMeanHue() - Method in class org.openimaj.image.feature.global.HueStats: Get the mean hue value.
getModel() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
getNaturalness() - Method in class org.openimaj.image.feature.global.Naturalness: Get the naturalness value for the image previously analysed with Naturalness.analyseImage(MBFImage).
getNegativePattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Get the negative pattern created during the last call to LocalTernaryPattern.analyseImage(FImage).
getNumberSamples() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
getNumberSamples() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the number of spatial bins in the X direction
getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the number of spatial bins in the Y direction
getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getNumComponents() - Method in class org.openimaj.image.model.EigenImages: Get the number of PCA components selected by this EigenImages object.
getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: Get the number of orientation bins
getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
getOCRProcessor() - Method in class org.openimaj.image.text.extraction.TextExtractor: Return the OCR processor being used to extract text from the image.
getOptions() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector: Get the current options.
getPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern: Get the pattern created during the last call to BasicLocalBinaryPattern.analyseImage(FImage).
getPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern: Get the pattern created during the last call to ExtendedLocalBinaryPattern.analyseImage(FImage).
getPDM() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
getPDM() - Method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel
getPointLists() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset: Get the points for each instance
getPositivePattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Get the positive pattern created during the last call to LocalTernaryPattern.analyseImage(FImage).
getResponse() - Method in class org.openimaj.image.feature.global.Gist: Get the response vector from the previous call to Gist.analyseImage(Image).
getROI(int, int, int, int) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
getROIMap() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
getSaliencyComponents() - Method in class org.openimaj.image.saliency.YehSaliency: Get a map of component->saliency for all the components in the image
getSaliencyMap() - Method in class org.openimaj.image.saliency.AchantaSaliency
getSaliencyMap() - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
getSaliencyMap() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
getSaliencyMap() - Method in interface org.openimaj.image.saliency.SaliencyMapGenerator: Get the generated saliency map
getSaliencyMap() - Method in class org.openimaj.image.saliency.YehSaliency
getSampler() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
getSampler() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
getSaturation() - Method in class org.openimaj.image.feature.global.Saturation: Get the average saturation of the last image processed with Saturation.analyseImage(MBFImage).
getSaturationVariation() - Method in class org.openimaj.image.feature.global.SaturationVariation: Get the variation in saturation of the last image processed with SaturationVariation.analyseImage(MBFImage).
getSharpness() - Method in class org.openimaj.image.feature.global.Sharpness: Get the sharpness of the last image processed with Sharpness.analyseImage(FImage).
getSharpnessVariation() - Method in class org.openimaj.image.feature.global.SharpnessVariation: Get the variation in sharpness of the last image processed with SharpnessVariation.analyseImage(FImage).
getSizes() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Get the bin sizes
getTernaryPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Get the ternary pattern created during the last call to LocalTernaryPattern.analyseImage(FImage).
getText() - Method in class org.openimaj.image.text.extraction.TextExtractor: Get text that can be extracted from an image.
getText() - Method in class org.openimaj.image.text.ocr.OCRProcessor: After processing, this method should return a set of bounding boxes of regions within the image mapped to a String that contains the recognised text.
getTextRegions() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Returns a map of bounding box to image and textual string.
getTextRegions() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale: Get the text regions that can be extracted from an image.
getTextRegions() - Method in class org.openimaj.image.text.extraction.TextExtractor: Get the text regions that can be extracted from an image.
getTextStrings() - Method in class org.openimaj.image.text.extraction.TextExtractor: If you're not interested in where the strings are located in the image you can use this method to simply get a list of extracted strings.
getTone() - Method in class org.openimaj.image.feature.global.HueStats: Estimate the tone of the image.
getUniformPatterns(int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Get a list of all the binary patterns of a given length that are "uniform".
getWords() - Method in class org.openimaj.image.text.extraction.swt.LineCandidate: Get the words corresponding to this line
Gist<IMAGE extends org.openimaj.image.Image<?,IMAGE> & org.openimaj.image.processor.SinglebandImageProcessor.Processable<Float,org.openimaj.image.FImage,IMAGE>> - Class in org.openimaj.image.feature.global: Implementation of the "Gist" spatial envelope feature.
Gist() - Constructor for class org.openimaj.image.feature.global.Gist: Construct a fixed size Gist extractor using the default values.
Gist(boolean) - Constructor for class org.openimaj.image.feature.global.Gist: Construct a variable or fixed size Gist extractor using the default values.
Gist(int, int) - Constructor for class org.openimaj.image.feature.global.Gist: Construct a fixed-size Gist extractor, with the given image size and the default number of orientations per scale for the Gabor jet.
Gist(int, int, int[]) - Constructor for class org.openimaj.image.feature.global.Gist: Construct a fixed-size Gist extractor, with the given image size and number of orientations per scale for the Gabor jet.
Gist(int[], boolean) - Constructor for class org.openimaj.image.feature.global.Gist: Construct a variable or fixed size Gist extractor with the given number of orientations per scale for the Gabor jet.
Gist(int, int, int[], boolean) - Constructor for class org.openimaj.image.feature.global.Gist: Construct a variable or fixed size Gist extractor with the given number of orientations per scale for the Gabor jet.
Gist(int[]) - Constructor for class org.openimaj.image.feature.global.Gist
GreyscaleConnectedComponentLabeler - Class in org.openimaj.image.connectedcomponent: A Connected Component Labeler for grey-level images.
GreyscaleConnectedComponentLabeler() - Constructor for class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler

H

h1 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The first Hu moment
h2 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The second Hu moment
h3 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The third Hu moment
h4 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The forth Hu moment
h5 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The fifth Hu moment
h6 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The sixth Hu moment
h7 - Variable in class org.openimaj.image.connectedcomponent.proc.HuMoments: The seventh Hu moment
hashCode() - Method in class org.openimaj.image.feature.astheticode.Aestheticode
height - Variable in class org.openimaj.image.feature.DoubleFV2FImage: the image height
height - Variable in class org.openimaj.image.feature.FloatFV2FImage: the image height
histogram - Variable in class org.openimaj.image.pixel.statistics.HistogramModel: The histogram data
HistogramModel - Class in org.openimaj.image.pixel.statistics: A multidimensional histogram calculated from image pixels (assumes image is in 0-1 range)
HistogramModel(int...) - Constructor for class org.openimaj.image.pixel.statistics.HistogramModel: Construct with the given number of bins per dimension
HistogramPatchModel - Class in org.openimaj.image.model.patch: A MBFPatchClassificationModel that performs classification based on the joint (colour) histogram of the patch by comparing the patch histogram to a model histogram with a given comparison measure.
HistogramPatchModel(int, int, int...) - Constructor for class org.openimaj.image.model.patch.HistogramPatchModel: Construct with the given patch size and number of histogram bins per dimension.
HistogramPatchModel(int, int, DoubleFVComparison, int...) - Constructor for class org.openimaj.image.model.patch.HistogramPatchModel: Construct with the given patch size, comparison measure and ] number of histogram bins per dimension.
HistogramPixelModel - Class in org.openimaj.image.model.pixel: An MBFPixelClassificationModel that classifies an individual pixel by comparing it to a joint (colour) histogram.
HistogramPixelModel(int...) - Constructor for class org.openimaj.image.model.pixel.HistogramPixelModel: Construct with the given number of histogram bins per dimension.
histograms - Variable in class org.openimaj.image.pixel.statistics.BlockHistogramModel: The histogram data
HOG - Class in org.openimaj.image.feature.dense.gradient: Implementation of an extractor for the Histogram of Oriented Gradients (HOG) feature for object detection.
HOG(SpatialBinningStrategy) - Constructor for class org.openimaj.image.feature.dense.gradient.HOG: Construct a new HOG with the 9 bins, using histogram interpolation and unsigned gradients.
HOG(int, boolean, FImageGradients.Mode, SpatialBinningStrategy) - Constructor for class org.openimaj.image.feature.dense.gradient.HOG: Construct a new HOG with the given number of bins.
HorizontalIntensityDistribution - Class in org.openimaj.image.feature.global: Produce a feature vector that describes the average intensity distribution across the from left to right.
HorizontalIntensityDistribution() - Constructor for class org.openimaj.image.feature.global.HorizontalIntensityDistribution: Construct the HorizontalIntensityDistribution feature extractor using the default of 10 equally spaced bins.
HorizontalIntensityDistribution(int) - Constructor for class org.openimaj.image.feature.global.HorizontalIntensityDistribution: Construct the HorizontalIntensityDistribution feature extractor using the given number of equally spaced bins.
HueStats - Class in org.openimaj.image.feature.global: A two-valued summary representing mean hue (in radians) and variance of hue respectively.
HueStats() - Constructor for class org.openimaj.image.feature.global.HueStats: Construct with no mask set
HueStats(FImage) - Constructor for class org.openimaj.image.feature.global.HueStats: Construct with a mask.
HueStats.ToneAttr - Enum in org.openimaj.image.feature.global: Tonal attributes for images based on the mean hue and variance.
HuMoments - Class in org.openimaj.image.connectedcomponent.proc: Implementation of the 7 Hu moments for describing connected component shape.
HuMoments() - Constructor for class org.openimaj.image.connectedcomponent.proc.HuMoments

I

I1 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments: The first affine-invariant moment
I2 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments: The second affine-invariant moment
I3 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments: The third affine-invariant moment
I4 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments: The forth affine-invariant moment
image - Variable in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
ImageAnalyserFVFeatureExtractor<ANALYSER extends org.openimaj.image.analyser.ImageAnalyser<IMAGE> & FeatureVectorProvider<FEATURE>,IMAGE extends org.openimaj.image.Image<?,IMAGE>,FEATURE extends FeatureVector> - Class in org.openimaj.image.feature: A FeatureExtractor that wraps ImageAnalysers that can provide FeatureVectors through FeatureVectorProvider.
ImageAnalyserFVFeatureExtractor(ANALYSER) - Constructor for class org.openimaj.image.feature.ImageAnalyserFVFeatureExtractor: Construct with the given analyser
ImageClassificationModel<T extends org.openimaj.image.Image<?,T>> - Interface in org.openimaj.image.model: An ImageClassificationModel is a EstimatableModel constructed between an generic image and a probability map in the form of an FImage.
imageHeight - Variable in class org.openimaj.image.feature.global.Gist
imageToVector(MBFImage) - Method in class org.openimaj.image.segmentation.KMColourSegmenter
imageToVector(MBFImage) - Method in class org.openimaj.image.segmentation.KMSpatialColourSegmenter
imageWidth - Variable in class org.openimaj.image.feature.global.Gist
IMMFaceDatabase - Class in org.openimaj.image.model.asm.datasets: The IMM Face Database (a set of labelled faces with connected points).
IMMFaceDatabase() - Constructor for class org.openimaj.image.model.asm.datasets.IMMFaceDatabase
INSTANCE - Static variable in class org.openimaj.image.feature.FImage2DoubleFV: Static instance that can be used instead of creating new objects
INSTANCE - Static variable in class org.openimaj.image.feature.FImage2FloatFV: Static instance that can be used instead of creating new objects
intensityThreshold - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum difference in intensity for two letters to be considered to be related
intersectRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Ratio of vertical intersection for character pairing.
isDoubleSizePyramid() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale: Whether the initial image in the pyramid is being double sized.
isHole() - Method in class org.openimaj.image.contour.Contour
isPatternUniform(int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern: Check whether the given nbits pattern is uniform.
isUniform(boolean[]) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
IterationResult(Matrix, PointList, double, double[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult

K

k - Variable in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
kernelSizeStep - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator
KMColourSegmenter - Class in org.openimaj.image.segmentation: Simple image segmentation from grouping colours with k-means.
KMColourSegmenter(ColourSpace, int) - Constructor for class org.openimaj.image.segmentation.KMColourSegmenter: Construct using the given colour space and number of segments.
KMColourSegmenter(ColourSpace, int, FloatFVComparator) - Constructor for class org.openimaj.image.segmentation.KMColourSegmenter: Construct using the given colour space, number of segments, and distance measure.
KMColourSegmenter(ColourSpace, float[], int, FloatFVComparator) - Constructor for class org.openimaj.image.segmentation.KMColourSegmenter: Construct using the given colour space, number of segments, and distance measure.
KMColourSegmenter(ColourSpace, float[], int, FloatFVComparator, int) - Constructor for class org.openimaj.image.segmentation.KMColourSegmenter: Construct using the given colour space, number of segments, and distance measure.
kmeans - Variable in class org.openimaj.image.segmentation.KMColourSegmenter
KMSpatialColourSegmenter - Class in org.openimaj.image.segmentation: Simple image segmentation from grouping colours with k-means, and also incorporating a spatial aspect based on pixel location.
KMSpatialColourSegmenter(ColourSpace, int) - Constructor for class org.openimaj.image.segmentation.KMSpatialColourSegmenter: Construct using the given colour space and number of segments.
KMSpatialColourSegmenter(ColourSpace, int, FloatFVComparator) - Constructor for class org.openimaj.image.segmentation.KMSpatialColourSegmenter: Construct using the given colour space, number of segments, and distance measure.
KMSpatialColourSegmenter(ColourSpace, float[], int, FloatFVComparator) - Constructor for class org.openimaj.image.segmentation.KMSpatialColourSegmenter: Construct using the given colour space, number of segments, and distance measure.
KMSpatialColourSegmenter(ColourSpace, float[], int, FloatFVComparator, int) - Constructor for class org.openimaj.image.segmentation.KMSpatialColourSegmenter: Construct using the given colour space, number of segments, and distance measure.

L

LandmarkModel> - Interface in org.openimaj.image.model.landmark: A LandmarkModel models local image content and provides functionality to move a point in an image to a nearby point with a lower cost than at the initial point.
LandmarkModelFactory> - Interface in org.openimaj.image.model.landmark: LandmarkModelFactorys are used to construct pre-configured LandmarkModels on demand.
learnModel(T...) - Method in interface org.openimaj.image.model.ImageClassificationModel: Learn the model from the given MBFImages.
learnModel(MBFImage...) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
LetterCandidate - Class in org.openimaj.image.text.extraction.swt: This class models a candidate textual letter/character from the SWTTextDetector.
LetterCandidate(PixelSet, float, FImage) - Constructor for class org.openimaj.image.text.extraction.swt.LetterCandidate
letterHeightRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum ratio of height for two letters to be considered to be related
letters - Variable in class org.openimaj.image.text.extraction.swt.LineCandidate
letters - Variable in class org.openimaj.image.text.extraction.swt.WordCandidate: The letters in this word
letterVarianceMean - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed variance of stroke width in a single character as a percentage of the mean.
line - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
line - Variable in class org.openimaj.image.text.extraction.swt.WordCandidate: The line to which this word belongs
LineCandidate - Class in org.openimaj.image.text.extraction.swt: This class models a candidate line of text, with one of more word candidates within it, from the SWTTextDetector.
LineCandidate() - Constructor for class org.openimaj.image.text.extraction.swt.LineCandidate
LiuSamarabanduTextExtractorBasic - Class in org.openimaj.image.text.extraction: A processor that attempts to extract text from an image.
LiuSamarabanduTextExtractorBasic() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
LiuSamarabanduTextExtractorMultiscale - Class in org.openimaj.image.text.extraction: An implementation of the multiscale text extractor from MULTISCALE EDGE-BASED TEXT EXTRACTION FROM COMPLEX IMAGES; Xiaoqing Liu and Jagath Samarabandu The University of Western Ontario http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4036951.
LiuSamarabanduTextExtractorMultiscale() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor - Class in org.openimaj.image.text.extraction: This is the main processor for this text extractor.
load(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.AMToolsSampleDataset: Get a dataset of the IMM images and points.
load(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.IMMFaceDatabase: Get a dataset of the IMM images and points.
loadASFDataset(String, InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets: Load a dataset from ASF format files as used by the IMM dataset.
loadPTSDataset(String, String, String, InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets: Load a dataset from PTS format files as used by Tim Cootes's ASM/AAM tools.
LocalTernaryPattern - Class in org.openimaj.image.feature.dense.binarypattern: Implementation of a Local Ternary Pattern.
LocalTernaryPattern(float, int, float) - Constructor for class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern: Construct an LTP extractor with the given parameters.
LocalUniformBinaryPatternHistogram - Class in org.openimaj.image.feature.dense.binarypattern: Class for extracting histograms of Local Uniform Binary Patterns.
LocalUniformBinaryPatternHistogram(int, int) - Constructor for class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram: Construct the extractor with the given block size for each local patch.
LRIntensityBalance - Class in org.openimaj.image.feature.global: Implementation of the intensity balance algorithm described by Yeh et al.
LRIntensityBalance() - Constructor for class org.openimaj.image.feature.global.LRIntensityBalance: Construct with the default 64 intensity histogram bins.
LRIntensityBalance(int) - Constructor for class org.openimaj.image.feature.global.LRIntensityBalance: Construct with the given number of intensity histogram bins.
LuoSimplicity - Class in org.openimaj.image.feature.global: Estimate the simplicity of an image by looking at the colour distribution of the background using the algorithm defined by Yiwen Luo and Xiaoou Tang.
LuoSimplicity() - Constructor for class org.openimaj.image.feature.global.LuoSimplicity: Construct with the defaults of 16 histograms per image band and a gamma value of 0.01.
LuoSimplicity(int, float, float, int, int, int, int) - Constructor for class org.openimaj.image.feature.global.LuoSimplicity: Construct with the given parameters.
LuoTangSubjectRegion - Class in org.openimaj.image.saliency: Extract the subject region of an image based on the part that is least blurred (most in-focus).
LuoTangSubjectRegion() - Constructor for class org.openimaj.image.saliency.LuoTangSubjectRegion: Construct with default values for the DepthOfFieldEstimator and an alpha parameter of 0.9.
LuoTangSubjectRegion(float, int, int, int, int) - Constructor for class org.openimaj.image.saliency.LuoTangSubjectRegion: Construct with the given parameters.
lut - Static variable in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern

M

map - Variable in class org.openimaj.image.saliency.AchantaSaliency
map - Variable in class org.openimaj.image.saliency.YehSaliency
MaskingBlockHistogramModel - Class in org.openimaj.image.pixel.statistics: An array of multidimensional histograms calculated from image pixels using a mask (assumes image is in 0-1 range)
MaskingBlockHistogramModel(FImage, int, int, int...) - Constructor for class org.openimaj.image.pixel.statistics.MaskingBlockHistogramModel: Construct with the given parameters
MaskingHistogramModel - Class in org.openimaj.image.pixel.statistics: A multidimensional histogram calculated from image pixels selected through a mask (assumes image is in 0-1 range)
MaskingHistogramModel(FImage, int...) - Constructor for class org.openimaj.image.pixel.statistics.MaskingHistogramModel: Construct with the given parameters
max - Variable in class org.openimaj.image.model.pixel.OrthotopePixelModel
maxAspectRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed aspect ratio for a single letter
maxDiameterStrokeRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed ratio of diameter to stroke width for a single character.
maxHeight - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum character height
maxKernelSize - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator
maxNumOverlappingBoxes - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed number of overlapping characters
maxStrokeWidth - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed stroke width
MBFPatchClassificationModel - Class in org.openimaj.image.model.patch: A base implementation of a PatchClassificationModel for MBFImages.
MBFPatchClassificationModel(int, int, int) - Constructor for class org.openimaj.image.model.patch.MBFPatchClassificationModel: Construct the model with the specified dimensionality and patch size.
MBFPixelClassificationModel - Class in org.openimaj.image.model.pixel: An abstract PixelClassificationModel for MBFImages.
MBFPixelClassificationModel(int) - Constructor for class org.openimaj.image.model.pixel.MBFPixelClassificationModel: Construct the model with the specified dimensionality.
MBFStatisticalPixelProfileModel - Class in org.openimaj.image.pixel.statistics: An MBFStatisticalPixelProfileModel is a statistical model of pixels from an MBFImage sampled along a line.
MBFStatisticalPixelProfileModel(int, FLineSampler) - Constructor for class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel: Construct a new MBFStatisticalPixelProfileModel with the given number of samples per line, and the given sampling strategy.
mean - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: The mean pixel value
median - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: The median of pixel values
medianStrokeWidth - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
medianStrokeWidthRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum ratio of stroke width for two letters to be considered to be related
min - Variable in class org.openimaj.image.model.pixel.OrthotopePixelModel
minArea - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Minimum allowed component size; used to quickly filter out small components.
minHeight - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Minimum character height
minLettersPerLine - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Minimum number of allowed letters on a line
minSize - Variable in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
mode - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
mode - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: The mode of pixel values
model - Variable in class org.openimaj.image.model.patch.HistogramPatchModel: The model histogram; public for speed.
model - Variable in class org.openimaj.image.model.pixel.HistogramPixelModel: The model histogram; public for speed.
ModifiedLuoSimplicity - Class in org.openimaj.image.feature.global: Estimate the simplicity of an image by looking at the colour distribution of the background.
ModifiedLuoSimplicity() - Constructor for class org.openimaj.image.feature.global.ModifiedLuoSimplicity: Construct with the default values
ModifiedLuoSimplicity(int, float, boolean, float, float, float, float, int) - Constructor for class org.openimaj.image.feature.global.ModifiedLuoSimplicity: Construct with the given values
MooreNeighborStrategy - Class in org.openimaj.image.contour: The Moore Neighborhood contour tracing strategy as described by this tutorial.
MooreNeighborStrategy() - Constructor for class org.openimaj.image.contour.MooreNeighborStrategy
MultiResolutionActiveShapeModel & org.openimaj.image.processor.SinglebandImageProcessor.Processable<Float,org.openimaj.image.FImage,I>> - Class in org.openimaj.image.model.asm: Implementation of a basic Multi-resolution Active Shape Model.
MultiResolutionActiveShapeModel(ActiveShapeModel[]) - Constructor for class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel: Construct a MultiResolutionActiveShapeModel from the stack of provided ActiveShapeModels.

N

Naturalness - Class in org.openimaj.image.feature.global: Implementation of the Naturalness index (CNI) defined by Huang, Qiao & Wu.
Naturalness() - Constructor for class org.openimaj.image.feature.global.Naturalness: Construct with no mask set
Naturalness(FImage) - Constructor for class org.openimaj.image.feature.global.Naturalness: Construct with a mask.
nbins - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator
ndims - Variable in class org.openimaj.image.model.patch.MBFPatchClassificationModel
ndims - Variable in class org.openimaj.image.model.pixel.MBFPixelClassificationModel
ndims - Variable in class org.openimaj.image.pixel.statistics.AbstractPixelStatisticsModel
negativeBinaryPattern - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
normaliseAngle - Variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
normaliseScale - Variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
numberOfBlocks - Variable in class org.openimaj.image.feature.global.Gist: The number of blocks in each direction
numBinsX - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Number of spatial bins in the X direction
numBinsY - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Number of spatial bins in the Y direction
numItemsToEstimate() - Method in class org.openimaj.image.model.patch.PatchClassificationModel
numItemsToEstimate() - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
numOriBins - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: The number of orientation bins

O

OCRProcessor<T extends org.openimaj.image.Image<?,T>> - Class in org.openimaj.image.text.ocr: Top-level class for classes that are able to process images to extract textual content by performing OCR.
OCRProcessor() - Constructor for class org.openimaj.image.text.ocr.OCRProcessor
options - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector: The parameters of the algorithm
Options() - Constructor for class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
org.openimaj.image.connectedcomponent - package org.openimaj.image.connectedcomponent
org.openimaj.image.connectedcomponent.proc - package org.openimaj.image.connectedcomponent.proc
org.openimaj.image.contour - package org.openimaj.image.contour
org.openimaj.image.feature - package org.openimaj.image.feature
org.openimaj.image.feature.astheticode - package org.openimaj.image.feature.astheticode
org.openimaj.image.feature.dense.binarypattern - package org.openimaj.image.feature.dense.binarypattern
org.openimaj.image.feature.dense.gradient - package org.openimaj.image.feature.dense.gradient
org.openimaj.image.feature.dense.gradient.binning - package org.openimaj.image.feature.dense.gradient.binning
org.openimaj.image.feature.dense.gradient.dsift - package org.openimaj.image.feature.dense.gradient.dsift
org.openimaj.image.feature.global - package org.openimaj.image.feature.global
org.openimaj.image.model - package org.openimaj.image.model
org.openimaj.image.model.asm - package org.openimaj.image.model.asm
org.openimaj.image.model.asm.datasets - package org.openimaj.image.model.asm.datasets
org.openimaj.image.model.landmark - package org.openimaj.image.model.landmark
org.openimaj.image.model.patch - package org.openimaj.image.model.patch
org.openimaj.image.model.pixel - package org.openimaj.image.model.pixel
org.openimaj.image.pixel.statistics - package org.openimaj.image.pixel.statistics
org.openimaj.image.saliency - package org.openimaj.image.saliency
org.openimaj.image.segmentation - package org.openimaj.image.segmentation
org.openimaj.image.text.extraction - package org.openimaj.image.text.extraction
org.openimaj.image.text.extraction.swt - package org.openimaj.image.text.extraction.swt
org.openimaj.image.text.ocr - package org.openimaj.image.text.ocr
orientationsPerScale - Variable in class org.openimaj.image.feature.global.Gist
OrthotopePixelModel - Class in org.openimaj.image.model.pixel: Model of an orthotope/hyperrectangle/box in space.
OrthotopePixelModel(int) - Constructor for class org.openimaj.image.model.pixel.OrthotopePixelModel: Construct with the given number of dimensions.
OrthotopePixelModel(float[], float[]) - Constructor for class org.openimaj.image.model.pixel.OrthotopePixelModel: Construct with the given number box.

P

parameters - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult: The model weight parameters
parent - Variable in class org.openimaj.image.contour.Contour: The parent contour, might be null
PatchClassificationModel<Q,T extends org.openimaj.image.Image<Q,T>> - Class in org.openimaj.image.model.patch: An ImageClassificationModel based on the idea of determining the probability of a class of a pixel given the local patch of pixels surrounding the pixel in question.
PatchClassificationModel(int, int) - Constructor for class org.openimaj.image.model.patch.PatchClassificationModel: Construct with the given dimensions for the sampling patch.
patchHeight - Variable in class org.openimaj.image.model.patch.PatchClassificationModel
patchWidth - Variable in class org.openimaj.image.model.patch.PatchClassificationModel
pattern - Variable in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
pattern - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
performIteration(I, PointList) - Method in class org.openimaj.image.model.asm.ActiveShapeModel: Perform a single iteration of model fitting.
PHOG - Class in org.openimaj.image.feature.dense.gradient: This class is an implementation of an extractor for the PHOG (Pyramid Histograms of Orientation Gradients) feature described by Bosch et al.
PHOG() - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG: Construct with the values used in the paper: 4 levels (corresponds to l=3 in the paper), 40 orientation bins (interpolated), signed gradients (called "shape360" in the original paper) and Canny edge detection.
PHOG(int, int, FImageGradients.Mode) - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG: Construct with the given values, using Canny edge detection and gradient histogram interpolation.
PHOG(int, int, boolean, FImageGradients.Mode, ImageProcessor<FImage>) - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG: Construct with the given parameters.
PixelClassificationModel<Q,T extends org.openimaj.image.Image<Q,T>> - Class in org.openimaj.image.model.pixel: Simple model for classifying pixels.
PixelClassificationModel() - Constructor for class org.openimaj.image.model.pixel.PixelClassificationModel
PixelProfileModel> - Interface in org.openimaj.image.pixel.statistics: Interface for classes capable of building "models" of pixels along a line.
pose - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult: The model pose from model coordinates to image coordinates
positiveBinaryPattern - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
predict(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
predict(T) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
prefilterFC - Variable in class org.openimaj.image.feature.global.Gist: The number of cycles per image for the pre-filter Gaussian
process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
process(GaussianPyramid<FImage>) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor
processFeatureMap(FImage, FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Process a feature map.
processImage(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
processImage(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
PyramidDenseSIFT<IMAGE extends org.openimaj.image.Image<?,IMAGE> & org.openimaj.image.processor.SinglebandImageProcessor.Processable<Float,org.openimaj.image.FImage,IMAGE>> - Class in org.openimaj.image.feature.dense.gradient.dsift: A scale-space pyramid of dense SIFT for FImages.
PyramidDenseSIFT(AbstractDenseSIFT<IMAGE>, float, int...) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Construct the pyramid dense sift extractor.
PyramidTextExtractor() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor

R

radius - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
radius - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
range - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: The range of pixel values
readASCII(Scanner) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
readASCII(Scanner) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
readBinary(DataInput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
readBinary(DataInput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
readBinary(DataInput) - Method in class org.openimaj.image.model.EigenImages
readBinary(DataInput) - Method in class org.openimaj.image.model.FisherImages
reconstruct(DoubleFV) - Method in class org.openimaj.image.model.EigenImages: Reconstruct an image from a weight vector
reconstruct(double[]) - Method in class org.openimaj.image.model.EigenImages: Reconstruct an image from a weight vector
renderSegments(MBFImage, List<? extends PixelSet>) - Static method in class org.openimaj.image.segmentation.SegmentationUtilities: Render the components to the image with randomly assigned colours.
renderSegments(int, int, List<? extends PixelSet>) - Static method in class org.openimaj.image.segmentation.SegmentationUtilities: Render the components to an image with randomly assigned colours.
reset() - Method in class org.openimaj.image.feature.global.Colorfulness
reset(MultidimensionalHistogram) - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
reset() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
response - Variable in class org.openimaj.image.feature.global.Gist
RGBRMSContrast - Class in org.openimaj.image.feature.global: Implementation of the RGB RMS contrast feature.
RGBRMSContrast() - Constructor for class org.openimaj.image.feature.global.RGBRMSContrast
RMSContrast - Class in org.openimaj.image.feature.global: Implementation of the RMS contrast feature.
RMSContrast() - Constructor for class org.openimaj.image.feature.global.RMSContrast
ROIProportion - Class in org.openimaj.image.feature.global: Implementation of the region of interest based image simplicity measure described by Yeh et al.
ROIProportion() - Constructor for class org.openimaj.image.feature.global.ROIProportion: Construct with the default values
ROIProportion(float) - Constructor for class org.openimaj.image.feature.global.ROIProportion: Construct with the given alpha value, but use the defaults for the YehSaliency estimator.
ROIProportion(float, float, float, int, float) - Constructor for class org.openimaj.image.feature.global.ROIProportion: Construct with the given parameters.
roiProportion - Variable in class org.openimaj.image.feature.global.ROIProportion
root - Variable in class org.openimaj.image.contour.SuzukiContourProcessor: the root border detected
root - Variable in class org.openimaj.image.feature.astheticode.Aestheticode: The border object describing the shape of the code
RuleOfThirds - Class in org.openimaj.image.feature.global: Implementation of the rule-of-thirds algorithm described by Yeh et al.
RuleOfThirds() - Constructor for class org.openimaj.image.feature.global.RuleOfThirds: Construct a new RuleOfThirds with the default settings for the YehSaliency algorithm.
RuleOfThirds(float, float, float, int) - Constructor for class org.openimaj.image.feature.global.RuleOfThirds: Construct a new RuleOfThirds with the given values for the YehSaliency algorithm.

S

saliencyGenerator - Variable in class org.openimaj.image.feature.global.ROIProportion
SaliencyMapGenerator> - Interface in org.openimaj.image.saliency: Interface for classes capable of processing images (as an image processor) to generate saliency maps.
sampleResponses(FImage, float[], int) - Method in class org.openimaj.image.feature.global.Gist: Sample the average response from each of the blocks in the image and insert into the vector.
samples - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
samples - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
Saturation - Class in org.openimaj.image.feature.global: Estimate the saturation of an image using the RGB approximation of avg(max(R,G,B) - min(R,G,B)).
Saturation() - Constructor for class org.openimaj.image.feature.global.Saturation
SaturationVariation - Class in org.openimaj.image.feature.global: Estimate the variation in saturation of an image using the RGB approximation of avg(max(R,G,B) - min(R,G,B)).
SaturationVariation() - Constructor for class org.openimaj.image.feature.global.SaturationVariation
scaling - Variable in class org.openimaj.image.segmentation.KMColourSegmenter
segment(FImage) - Method in class org.openimaj.image.segmentation.ConnectedThresholdSegmenter
segment(I) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
segment(MBFImage) - Method in class org.openimaj.image.segmentation.KMColourSegmenter
segment(I) - Method in interface org.openimaj.image.segmentation.Segmenter: Segment an image into ConnectedComponents.
segment(FImage) - Method in class org.openimaj.image.segmentation.ThresholdSegmenter
SegmentationUtilities - Class in org.openimaj.image.segmentation: Some utility functions for dealing with segmented output
Segmenter> - Interface in org.openimaj.image.segmentation: The Segmenter interface defines an object capable of segmenting an image into PixelSets (or subclasses thereof).
segmentGraph(int, List<SimpleWeightedEdge<Pixel>>) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
segmentImage(MBFImage) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: (Optional operation) Set the height of a single bin of the sampling window (in pixels).
setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Not supported.
setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT: (Optional operation) Set the width of a single bin of the sampling window (in pixels).
setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT: Not supported.
setBoundingBoxPaddingPc(float) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Set the expansion value for the subimage extraction.
setComparisonMeasure(DoubleFVComparison) - Method in class org.openimaj.image.model.patch.HistogramPatchModel: Set the comparison measure used.
setDoubleSizePyramid(boolean) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale: Set whether to double the size of the pyramid
setImage(MBFImage) - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor: Set the image to extract pixels from.
setInlierPercentage(double) - Method in class org.openimaj.image.model.asm.ActiveShapeModel: Set the target percentage of the number of points that move less than 0.5 of their total possible distance within an iteration to stop fitting.
setMaxIterations(int) - Method in class org.openimaj.image.model.asm.ActiveShapeModel: Set the maximum allowed number of iterations in fitting the model
setMinRelativeChildProp(double) - Method in class org.openimaj.image.contour.SuzukiContourProcessor: Set the threshold at which small children (measured relative to their parent area) are removed.
setOCRProcessor(OCRProcessor<T>) - Method in class org.openimaj.image.text.extraction.TextExtractor: For the text regions that are extracted to be associated with textual representations of the text regions, an OCR processor must be used.
setParent(Contour) - Method in class org.openimaj.image.contour.Contour
shape - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult: The updated shape in image coordinates
ShapeModelDataset<IMAGE extends org.openimaj.image.Image<?,IMAGE>> - Interface in org.openimaj.image.model.asm.datasets: Dataset representing pairs of images and fixed size sets of points, together with a set of connections between points which are valid across all instances.
ShapeModelDatasets - Class in org.openimaj.image.model.asm.datasets: Utilities for creating with ShapeModelDataset instances.
Sharpness - Class in org.openimaj.image.feature.global: Sharpness measures the clarity and level of detail of an image.
Sharpness() - Constructor for class org.openimaj.image.feature.global.Sharpness: Construct with no mask set
Sharpness(FImage) - Constructor for class org.openimaj.image.feature.global.Sharpness: Construct with a mask.
sharpness - Variable in class org.openimaj.image.feature.global.Sharpness
SharpnessVariation - Class in org.openimaj.image.feature.global: Sharpness measures the clarity and level of detail of an image.
SharpnessVariation() - Constructor for class org.openimaj.image.feature.global.SharpnessVariation: Construct with no mask set
SharpnessVariation(FImage) - Constructor for class org.openimaj.image.feature.global.SharpnessVariation: Construct with a mask.
sharpnessVariation - Variable in class org.openimaj.image.feature.global.SharpnessVariation
SharpPixelProportion - Class in org.openimaj.image.feature.global: Implementation of the blur estimation feature described by Ke, Tang and Jing, and Yeh et al.
SharpPixelProportion() - Constructor for class org.openimaj.image.feature.global.SharpPixelProportion: Construct with a default threshold on Fourier magnitude of 2.0.
SharpPixelProportion(float) - Constructor for class org.openimaj.image.feature.global.SharpPixelProportion: Construct with the given threshold on Fourier magnitude.
sigma - Variable in class org.openimaj.image.saliency.AchantaSaliency
sigma - Variable in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
simplicity - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
SingleGaussianPixelModel - Class in org.openimaj.image.model.pixel: An MBFPixelClassificationModel that classifies an individual pixel by comparing it to a CachingMultivariateGaussian.
SingleGaussianPixelModel(int) - Constructor for class org.openimaj.image.model.pixel.SingleGaussianPixelModel: Construct with the given number of dimensions.
start - Variable in class org.openimaj.image.contour.Contour: where the contour starts
stepX - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Step size of sampling window in x-direction (in pixels)
stepY - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Step size of sampling window in y-direction (in pixels)
strategy - Variable in class org.openimaj.image.feature.dense.gradient.HOG
strokeWidthRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Maximum allowed ratio of a pair of stroke widths for them to be considered part of the same connected component.
SuzukiContourProcessor - Class in org.openimaj.image.contour: Given a binary image (1-connected and 0-connected regions) detect contours and provide both the contours and a hierarchy of contour membership.
SuzukiContourProcessor() - Constructor for class org.openimaj.image.contour.SuzukiContourProcessor
SuzukiNeighborStrategy - Class in org.openimaj.image.contour: The neighbourhood border/contour tracing algorithm described in Appendix 1 of the Suzuki contour detection algorithm
SuzukiNeighborStrategy() - Constructor for class org.openimaj.image.contour.SuzukiNeighborStrategy
SWTTextDetector - Class in org.openimaj.image.text.extraction.swt: Implementation of the Stroke Width Transform text detection algorithm by Epshtein et al.
SWTTextDetector() - Constructor for class org.openimaj.image.text.extraction.swt.SWTTextDetector: Construct the SWTTextDetector with the default parameters.
SWTTextDetector(SWTTextDetector.Options) - Constructor for class org.openimaj.image.text.extraction.swt.SWTTextDetector: Construct the SWTTextDetector with the given parameters.
SWTTextDetector.Direction - Enum in org.openimaj.image.text.extraction.swt: Text search "directions": Dark text on a lighter background, light text on a dark background and both.
SWTTextDetector.Options - Class in org.openimaj.image.text.extraction.swt: Options for controlling the SWTTextDetector.

T

ternaryPattern - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
test(Contour) - Method in class org.openimaj.image.feature.astheticode.AestheticodeDetector
TextExtractor<T extends org.openimaj.image.Image<?,T>> - Class in org.openimaj.image.text.extraction: An interface for classes that are able to extract text from images.
TextExtractor() - Constructor for class org.openimaj.image.text.extraction.TextExtractor
textRegionDetection(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Calculate the feature map that give the approximate localisation of candidate text regions.
textRegionLocalisation(FImage, FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic: Extract the regions that probably contain text (as given by the feature map)
threshold - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
ThresholdSegmenter - Class in org.openimaj.image.segmentation: Simple wrapper to make thresholding algorithms into Segmenters by applying the thresholding operation and then gathering the pixel sets belonging to each segment.
ThresholdSegmenter(Processor<FImage>) - Constructor for class org.openimaj.image.segmentation.ThresholdSegmenter: Construct with the given thresholding algorithm implementation.
toSingleHistogram() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
toString() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
toString() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
toString() - Method in class org.openimaj.image.contour.Contour
toString() - Method in class org.openimaj.image.feature.astheticode.Aestheticode
toString() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
toString() - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
toString() - Method in class org.openimaj.image.model.EigenImages
toString() - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
toString() - Method in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
toString() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
toString() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
toString() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
toString() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
toString() - Method in class org.openimaj.image.text.extraction.swt.LetterCandidate
train(List<? extends FImage>) - Method in class org.openimaj.image.model.EigenImages
train(Map<?, ? extends List<FImage>>) - Method in class org.openimaj.image.model.FisherImages: Train on a map of data.
train(GroupedDataset<KEY, ? extends ListDataset<FImage>, FImage>) - Method in class org.openimaj.image.model.FisherImages: Train on a grouped dataset.
train(List<? extends IndependentPair<?, FImage>>) - Method in class org.openimaj.image.model.FisherImages
trainModel(PrincipalComponentAnalysis.ComponentSelector, List<IndependentPair<PointList, I>>, PointDistributionModel.Constraint, LandmarkModelFactory) - Static method in class org.openimaj.image.model.asm.ActiveShapeModel: Train a new ActiveShapeModel using the given data and parameters.
trainModel(int, PrincipalComponentAnalysis.ComponentSelector, List<IndependentPair<PointList, I>>, PointDistributionModel.Constraint, LandmarkModelFactory) - Static method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel: Train a new MultiResolutionActiveShapeModel from the given data.
type - Variable in class org.openimaj.image.contour.Contour: The type of contour

U

UniformBinaryPattern - Class in org.openimaj.image.feature.dense.binarypattern: Class for determining whether specific binary patterns are "uniform".
UniformBinaryPattern() - Constructor for class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
updateModel(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel
updateModel(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
updateModel(I, Point2d, PointList) - Method in interface org.openimaj.image.model.landmark.LandmarkModel: Update the internal model of local image content by adding information from the provided image.
updateModel(FImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
updateModel(MBFImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
updateModel(I, Line2d) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel: Update the model with a new sample.
updatePosition(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel
updatePosition(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
updatePosition(I, Point2d, PointList) - Method in interface org.openimaj.image.model.landmark.LandmarkModel: Estimate an improved fit based on a local neighbourhood search.

V

valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.contour.ContourType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy.BlockNormalisation: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.feature.global.AvgBrightness.Mode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.contour.ContourType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy.BlockNormalisation: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.feature.global.AvgBrightness.Mode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction: Returns an array containing the constants of this enum type, in the order they are declared.
valueThreshold - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT: Threshold for clipping the SIFT features
variance - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel: The variance of pixel values
visualise(int) - Method in class org.openimaj.image.model.FisherImages: Draw an eigenvector as an image
visualiseDescriptor(int) - Method in class org.openimaj.image.feature.global.Gist: Compute the descriptor visualisation in the same form as the original matlab code.
visualisePC(int) - Method in class org.openimaj.image.model.EigenImages: Draw a principal component as an image.

W

WeberContrast - Class in org.openimaj.image.feature.global: Implementation of the Weber contrast feature.
WeberContrast() - Constructor for class org.openimaj.image.feature.global.WeberContrast
width - Variable in class org.openimaj.image.feature.DoubleFV2FImage: the image width
width - Variable in class org.openimaj.image.feature.FloatFV2FImage: the image width
widthMultiplier - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: The width multiplier for two letters to be considered to be related.
windowSize - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator
word - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
wordBreakdownRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options: Ratio of the interclass std dev of the letter spacings to the mean to suggest a word break.
WordCandidate - Class in org.openimaj.image.text.extraction.swt: This class models a candidate word (a collection of letter candidates with a consistent inter-character spacing) from the SWTTextDetector.
WordCandidate() - Constructor for class org.openimaj.image.text.extraction.swt.WordCandidate
words - Variable in class org.openimaj.image.text.extraction.swt.LineCandidate
writeASCII(PrintWriter) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
writeASCII(PrintWriter) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
writeBinary(DataOutput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
writeBinary(DataOutput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
writeBinary(DataOutput) - Method in class org.openimaj.image.model.EigenImages
writeBinary(DataOutput) - Method in class org.openimaj.image.model.FisherImages

X

xHistograms - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator

Y

YehBokehEstimator - Class in org.openimaj.image.feature.global: Implementation of the Bokeh estimation feature described by Yeh et al.
YehBokehEstimator() - Constructor for class org.openimaj.image.feature.global.YehBokehEstimator: Construct with defaults: 5x5 blocks, variance threshold of 0.1, sharpness threshold of 0.5, lower bound of 0.3, upper bound of 0.7
YehBokehEstimator(int, int, float, float, float, float) - Constructor for class org.openimaj.image.feature.global.YehBokehEstimator: Construct with the given parameters.
YehSaliency - Class in org.openimaj.image.saliency: Implementation of the region-based saliency algorithm described in: Che-Hua Yeh, Yuan-Chen Ho, Brian A.
YehSaliency() - Constructor for class org.openimaj.image.saliency.YehSaliency: Construct with default settings for the AchantaSaliency and FelzenszwalbHuttenlocherSegmenter.
YehSaliency(float, float, float, int) - Constructor for class org.openimaj.image.saliency.YehSaliency: Construct with custom parameters.
yHistograms - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator

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