Uses of Interface
de.lmu.ifi.dbs.jfeaturelib.Descriptor

Packages that use Descriptor

Package	Description
de.lmu.ifi.dbs.jfeaturelib.edgeDetector
de.lmu.ifi.dbs.jfeaturelib.features
de.lmu.ifi.dbs.jfeaturelib.pointDetector
de.lmu.ifi.dbs.jfeaturelib.shapeFeatures

Uses of Descriptor in de.lmu.ifi.dbs.jfeaturelib.edgeDetector

Classes in de.lmu.ifi.dbs.jfeaturelib.edgeDetector that implement Descriptor

Modifier and Type	Class and Description
class	AbstractDescriptor
class	Canny A configurable implementation of the Canny edge detection algorithm.
class	DroG TODO comments This class make the edge extraction using DroG operator.
class	Kernel Performs convolution with a given Kernel directly on this image.
class	Kirsch Simple implementation of the Kirsch operator See http://en.wikipedia.org/wiki/Kirsch-Operator for more information.
class	LaplaceFilter LaplaceFilter class See http://svg.dmi.unict.it/iplab/imagej/Plugins/Forensics/Filters/PAGINE%20HTML/Laplaciano.html for more information
class	MarrHildreth The Marr Hildreth edge detector uses the Laplacian of the Gaussian function to detect edges.
class	Roberts Simple implementation of the Roberts(Cross)-Operator.
class	Susan Implementation of the SUSAN (Smallest Univalue Segment Assimilating Nucleus) edge detector.

Uses of Descriptor in de.lmu.ifi.dbs.jfeaturelib.features

Subinterfaces of Descriptor in de.lmu.ifi.dbs.jfeaturelib.features

Modifier and Type	Interface and Description
interface	FeatureDescriptor Interface for a common descriptor that returns a either a single feature vector or a set / list of feature vectors.

Classes in de.lmu.ifi.dbs.jfeaturelib.features that implement Descriptor

Modifier and Type	Class and Description
class	AbstractFeatureDescriptor This abstract class provides some convenient base functionalities for feature descriptors like the getter for the data (including null check) and the propery change support.
class	AutoColorCorrelogram VisualDescriptor for the AutoCorrelogram based on color as described in Huang, J.; Kumar, S.
class	CEDD The CEDD feature was created, implemented and provided by Savvas A.
class	ColorHistogram A RGB/HSB histogram.
class	FCTH The FCTH feature was created, implemented and provided by Savvas A.
class	FuzzyHistogram Fuzzy Color Histogram.
class	FuzzyOpponentHistogram Wrapper for the according LIRE class.
class	Gabor Implementation of a Gabor texture features This is a wrapper class for the corresponding lire class
class	Haralick Haralick texture features http://makseq.com/materials/lib/Articles-Books/Filters/Texture/Co-occurence/haralick73.pdf
class	Histogram Class that generates several types of histograms.
class	JCD A joint descriptor joining CEDD and FCTH in one histogram by Savvas A.
class	JpegCoefficientHistogram This class implements the EdgeHistogram descriptor from the MPEG-7 standard.
class	LocalBinaryPatterns Constructs a histogram of local binary patterns (LBP) for each pixel.
class	LuminanceLayout The LuminanceLayout Descriptor is intended for grayscale or B/W images.
class	MeanIntensityLocalBinaryPatterns Patch-based local binary patterns.
class	MeanPatchIntensityHistogram This descriptor calculates a histogram of mean intensities of specified neighborhood size.
class	Moments Calculates the basic statistical moments of an image like mean, std_dev, skewness and kurtosis.
class	MPEG7ColorLayout Class for extrcating & comparing MPEG-7 based CBIR descriptor ColorLayout This is a wrapper class for the corresponding lire class (ColorLayout and ColorLayoutImpl).
class	MPEG7EdgeHistogram This class implements the EdgeHistogram descriptor from the MPEG-7 standard.
class	OpponentHistogram Wrapper for the according LIRE class. 64 bin Opponent Histogram, based on the Opponent color space as described in van de Sande, Gevers & Snoek (2010) "Evaluating Color Descriptors for Object and Scene Recognition", IEEE PAMI:
class	PHOG Generates Pyramid Histograms of Oriented Gradients (PHoG).
class	ReferenceColorSimilarity Color similarity features.
class	Sift This descriptor is a wrapper class for the famous SIFT algorithm proposed by David Lowe: http://www.cs.ubc.ca/~lowe/keypoints/ Related papers: The most complete and up-to-date reference for the SIFT feature detector is given in the following journal paper: David G.
class	SURF Wrapper for the ImageJ SURF plugin (http://www.labun.com/imagej-surf/)
class	Tamura Implementation of (three) Tamura features done by Marko Keuschnig & Christian Penz This is a wrapper class for the corresponding lire class
class	Thumbnail Simple thumbnail representation that serializes the complete image to a pixel array.

Uses of Descriptor in de.lmu.ifi.dbs.jfeaturelib.pointDetector

Subinterfaces of Descriptor in de.lmu.ifi.dbs.jfeaturelib.pointDetector

Modifier and Type	Interface and Description
interface	PointDetector Interface for all intereting point detectors.

Classes in de.lmu.ifi.dbs.jfeaturelib.pointDetector that implement Descriptor

Modifier and Type	Class and Description
class	FASTCornerDetector FAST Corner Detector FAST was first published By Edward Rosten in 2005, 2006: - Fusing points and lines for high performance tracking (2005) and - Machine learning for high-speed corner detection (2006).
class	Harris Harris Corner Detection
class	Moravec Moravec Corner Detector.
class	TrajkovicHedley4N Trajkovic and Hedley Corner Detector.

Uses of Descriptor in de.lmu.ifi.dbs.jfeaturelib.shapeFeatures

Classes in de.lmu.ifi.dbs.jfeaturelib.shapeFeatures that implement Descriptor

Modifier and Type	Class and Description
class	AdaptiveGridResolution Computes a normalized distance shape feature as Array List containing the quadtree values from level 0 to the maximal level.
class	CentroidBoundaryDistance Computes a normalized distance shape feature as Array List containing the max distances measured for each angle or null if no boundary was found at that angle.
class	CentroidFeature Computes the Centroid according to "Bryan S.
class	Compactness Computes the compactness according to "Bryan S.
class	Eccentricity Computes the ratio of the length of the longest chord of the shape to the longest chord perpendicular to it according to "Bryan S.
class	ExtremalPoints Computes extremal points according to "Bryan S.
class	PolygonEvolution Computes a distance shape feature as Array List containing the x and y coordinates from the points generating the polygon.
class	Profiles Computes the horizontal, vertical and diagonal (starting top left for TLProfile analog bottom left for BLProfile) Profiles according to "Bryan S.
class	SquareModelShapeMatrix The Descriptor represents a binarized shape model by the SquareModelShapreMatrix, also known as GridDescriptor.