Uses of Class
at.mug.iqm.api.operator.AbstractOperator

Packages that use AbstractOperator

Package	Description
at.mug.iqm.commons.util
at.mug.iqm.commons.util.plot
at.mug.iqm.img.bundle.op
at.mug.iqm.plot.bundle.op

Uses of AbstractOperator in at.mug.iqm.commons.util

Fields in at.mug.iqm.commons.util declared as AbstractOperator

Modifier and Type	Field and Description
private AbstractOperator	Higuchi.operator
private AbstractOperator	AllometricScaling.operator

Constructors in at.mug.iqm.commons.util with parameters of type AbstractOperator

Constructor and Description
AllometricScaling(AbstractOperator operator) This is the standard constructor with the possibility to import calling class This is useful for progress bar and canceling functionality
Higuchi(AbstractOperator operator) This is the standard constructor with the possibility to import calling class This is useful for progress bar and canceling functionality

Uses of AbstractOperator in at.mug.iqm.commons.util.plot

Fields in at.mug.iqm.commons.util.plot declared as AbstractOperator

Modifier and Type	Field and Description
private AbstractOperator	Surrogate.operator

Constructors in at.mug.iqm.commons.util.plot with parameters of type AbstractOperator

Constructor and Description
Surrogate(AbstractOperator operator) This is the standard constructor with the possibility to import calling class This is useful for progress bar and canceling functionality

Uses of AbstractOperator in at.mug.iqm.img.bundle.op

Subclasses of AbstractOperator in at.mug.iqm.img.bundle.op

Modifier and Type	Class and Description
class	IqmOpACF This is the main image processing class There exist two approaches: A user defined JAI operator is just called or: The actual processing is implemented in this class
class	IqmOpAffine
class	IqmOpAlign
class	IqmOpBorder
class	IqmOpBUnwarpJ
class	IqmOpCalcImage
class	IqmOpCalcValue
class	IqmOpCoGReg
class	IqmOpColDecon This is an implementation of an ImageJ plugin by G.Landini http://www.dentistry.bham.ac.uk/landinig/software/cdeconv/cdeconv.html
class	IqmOpComplexLogDepth Logical depth (Physical depth) is calculated according to: Zenil et al Image Characterization and Classification by Physical Complexity, Complexity 2011 Vol17 No3 26-42
class	IqmOpConvert
class	IqmOpCreateFracSurf The implemented method uses IFR Inverse Fourier Reconstruction with 1/(f^(b/2)), filtering and b = (8-2D) see book: Turner, Blackledge, Andrews, Fractal Geometry in Digital imaging, S.172 see also Anguiano etal.
class	IqmOpCreateImage
class	IqmOpCrop
class	IqmOpDFT
class	IqmOpDirLocal
class	IqmOpDistMap 2010 09 erode of a constant image did not change the image any more therefore, sometimes images did not converge to totally black now it stops eroding if the image is constant 2011 12 29 added 4SED and 8SED method according to Danielsson P.E.
class	IqmOpEdge
class	IqmOpFracBox 2010 03 added grey value images support DBC (Differential Box Counting), see Sarker Chauduri, IEEE Trans Syst Man Cyb 1994 RDBC Relative DBC, see Jin Ong Jayasooriah, Patt Rec Lett 16 1995
class	IqmOpFracFFT
class	IqmOpFracGenDim Generalized Correlations method, Multifractal Analysis, Dq Vicsek Fractal Growth Phenomena World Scientific Pawelzik K.
class	IqmOpFracHiguchi
class	IqmOpFracHRM HRM Hierarchical random maps in order to get images with distinct lacunarities Plotnick et al 1993 Lacunarity indices as measures of landscape texture
class	IqmOpFracIFS Some code is adapted from: THE NONLINEAR WORKBOOK Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs(4th Edition) by Willi-Hans Steeb (University of Johannesburg, South Africa) see http://www.worldscibooks.com/chaos/6883.html
class	IqmOpFracLac Allain C, Cloitre M, Characterizing the lacunarity of random and deterministic fractal sets.
class	IqmOpFracMinkowski 2010 01 added progress bar support 2010 04 added grey image support, "Blanket Dimension" Peleg S., Naor J., Hartley R., Avnir D.
class	IqmOpFracPyramid 2010 03 added grey value image support, Surface is calculated according to Chinga etal.
class	IqmOpFracScan Extension of nexel scan.
class	IqmOpFracSurrogate This class calculates surrogate images according to see e.g.
class	IqmOpHistoModify
class	IqmOpImgStabilizer This is an implementation of the ImageJ ImageStabilizer plugin by Kang Li K.
class	IqmOpInvert
class	IqmOpKMeans This an implementation of a JAISTUFF algorithm by R.Santos https://jaistuff.dev.java.net/algorithms.html
class	IqmOpKMeansFuzzy This an implementation of a JAISTUFF algorithm by R.Santos https://jaistuff.dev.java.net/algorithms.html
class	IqmOpMorph The Skeleton and the Fill Holes options are carried out by launching ImageJ and by using the corresponding plugins.
class	IqmOpNexelScan
class	IqmOpRank Known issue: 2011 01: MinFilterDescriptor.MIN_MASK_SQUARE_SEPARABLE does not work properly at the image borders
class	IqmOpRegGrow
class	IqmOpResize
class	IqmOpRGBRelative
class	IqmOpROISegment
class	IqmOpSmooth
class	IqmOpStackStat
class	IqmOpStatistics Changes 2014 04 03 HA bugfix column 0 and row 0 was not calculated for 2nd order statistics, many thanks to Martin Reiss
class	IqmOpStatRegMerge This uses an ImageJ algorithm by Johannes Schindelin http://fiji.sc/wiki/index.php/Statistical_Region_Merging#cite_note-0 based on following algorithm: R.
class	IqmOpTempMatch This an implementation of a JAISTUFF algorithm by R.Santos https://jaistuff.dev.java.net/algorithms.html
class	IqmOpThreshold
class	IqmOpTurboReg This is an implementation of an ImageJ plugin by P.
class	IqmOpUnsharpMask
class	IqmOpWatershed This is an implementation of an ImageJ plugin by Daniel Sage Biomecial Imaging Group (BIG) Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland http://bigwww.epfl.ch/sage/soft/watershed/ note: the algorithm searches for dark objects in bright background
class	IqmOpWhiteBalance

Uses of AbstractOperator in at.mug.iqm.plot.bundle.op

Subclasses of AbstractOperator in at.mug.iqm.plot.bundle.op

Modifier and Type	Class and Description
class	PlotOpAutoCorrelation
class	PlotOpComplLogDepth 2015 01 according to image implementation (Zenil et al)
class	PlotOpCut
class	PlotOpDCMGenerator DCM discrete chaotic map According to L.Eduardo V.Silva L.O.Murta Jr Evaluation of physiologic complexity in time series using generalized sample entropy and surrogate data analysis.
class	PlotOpEntropy 2012 11 QSE quadratic sample entropy according to Lake Moormann Am J Physiol Circ Physiol 300 H319-H325 2011 2012 11 COSEn coefficient of sample entropy according to Lake Moormann Am J Physiol Circ Physiol 300 H319-H325 2011 2012 02 Permutation entropy according to Bandt C and Pompe B.
class	PlotOpFFT
class	PlotOpFilter
class	PlotOpFracAllomScale
class	PlotOpFracHiguchi
class	PlotOpFracHurst Eke Herman Bassingthwaighte Raymond Percival Cannon Balla Ikrenyi "Physiological time series: distinguishing fractal noises from motion" Eur.J.Physiol.
class	PlotOpFracSurrogate
class	PlotOpFractalGenerator Analyzing exact fractal time series: evaluation dispersional analysis and rescaled range methods.
class	PlotOpMath
class	PlotOpPointFinder
class	PlotOpSignalGenerator
class	PlotOpStatistics
class	PlotOpSymbolicAggregation