LTI-Lib latest version v1.9 - last update 10 Apr 2010

lti Namespace Reference

namespace lti More...

Namespaces

namespace  fft

Classes

class  boxSide
 Policy class to compute the size of a box's side and the inverse transformation. More...
class  tbox
 Class to describe a 3D box aligned with the coordinate system. More...
class  className
 Provides methods for getting the class names of lti::objects. More...
class  cmykColor
 A little class for defining points in the CMYK color space. More...
class  rgbColor
 An alias for the rgbPixel type. More...
class  distanceType
 This class defines the appropriate return types when calculating the distance between to values of type T. More...
class  exception
 Base class for all lti-library exceptions. More...
class  allocException
 allocException is thrown if a memory allocation problem occurs More...
class  functor
 Base class for all lti functors. More...
class  object
 Base class for all lti objects. More...
class  objectFactory
 This class defines a factory for objects. More...
class  tpoint
 Two dimensional point, containing the coordinates x, y. More...
class  tpoint3D
 Three dimensional point, containing the coordinates x, y and z. More...
class  rectSide
 Policy class to compute the size of a rectangle's side and the inverse transformation. More...
class  trectangle
 Rectangle representation class. More...
class  rgbPixel
 Color pixel representation in RGB color space. More...
class  trgbPixel
 Template to use RGB pixel representations of types other than ubyte. More...
class  status
 Base class for all lti objects that can have a status text. More...
class  typeInfo
 This class allows to ask some information required in the LTI-Lib for some types. More...
class  adaptiveKMeans
 this class implements a k-means clustering that determines the number of clusters by itself More...
class  bagging
 Implementation of bagging classification. More...
class  bhattacharyyaDistOfSubset
 The class implements the bhattacharyya distance as cost function. More...
class  centroidClustering
 Base class for all clustering methods that use centroids or prototypes for describing individual clusters. More...
class  classificationStatistics
 This class allows the generation of classification statistics. More...
class  classifier
 Abstract parent class for all classifiers. More...
class  classifier2DVisualizer
 This functor creates beautiful pictures. More...
class  clustering
 Base class for all clustering algorithms. More...
class  clusteringValidity
 Parent class for all clustering validity measures. More...
class  dunnIndex
 computes the Dunn Index and its generalisations described in Bezdek, J.C.,Pal,N.R., 1998. More...
class  modHubertStat
 Calculates the modified Hubert statistic of the given clustering. More...
class  normModHubertStat
 Calculates the normalized version of the modified Hubert statistic The index is between -1 and 1. More...
class  daviesBouldinIndex
 Calculates the Davies Bouldin Index of the given clustering. More...
class  combination
 This class is used to combine several results of different classifier::output objects. More...
class  competitiveAgglomeration
 This class implements the centroid clustering algorithm presented in "Clustering by Competitive Agglomeration" from Frigui and Krishnapuram, Pattern Recognition, Vol. More...
class  costFunction
 Base class for all cost functions. More...
class  crispDecisionTree
 Base class for all crisp decision trees. More...
class  crossValidator
 This class does a cross validation on the given dataset and returns the average recognition rates. More...
class  DBScan
 A class providing the DBScan for clustering. More...
class  decisionTree
 This is the base class for all decision trees in the LTI-Lib. More...
class  featureSelector
 Abstract base class for all feature selectors. More...
class  fuzzyCMeans
 this class implements the fuzzy C Means clustering algorithm. More...
class  hmmClassifier
 This class defines training and classification methods for Hidden Markov Models (HMM) using observation sequences. More...
class  hmmOnlineClassifier
 This class allows online classification of word chains. More...
class  kernelFunctor
 This class defines a kernel functor. More...
class  kMeansClustering
 This class implements two versions of k-means-clustering: batch and sequential. More...
class  kNNClassifier
 Implements a k nearest neighbors search based classifier. More...
class  linearKernel
 This class defines a linear kernel functor. More...
class  lvq
 LVQ-Net. More...
class  mahalanobisDistOfSubset
 This class implements a cost function for evaluating a subset of features based on the mahalanobis distance. More...
class  manualCrispDecisionTree
 This class serves the manual construction of a crisp decision tree with crispNodes that have univariate decision functions. More...
class  MLP
 Multi-layer perceptrons. More...
class  MSTClustering
 This class implements a minimum spanning tree clustering. More...
class  plusLTakeAwayR
 This class implements the plus l - take away r algorithm descripted in: P. More...
class  polynomialKernel
 This class defines a polynomial kernel functor. More...
class  progressInfo
 Progress information interface. More...
class  streamProgressInfo
 Progress Information to stream. More...
class  radialKernel
 This class defines a radial kernel functor. More...
class  rbf
 class which implements RBF networks. More...
class  recognitionRateOfSubset
 Computes the average recognition rate of a given subset of features from a data set. More...
class  sammonsMapping
 Performs Sammon's Mapping. More...
class  sequentialBackwardSearch
 This class implements the sequential backward search algorithm for feature selection. More...
class  sequentialForwardSearch
 This class implements the sequential forward search algorithm for feature selection. More...
class  sffs
 Implemantation of the sequential floating forward search algorithm to select the best features from a data set. More...
class  shClassifier
 Implements a sparse histogram-based classifier, such as the one described in B. More...
class  sigmoidKernel
 This class defines a "sigmoid" kernel functor. More...
class  SOFM
 This is the base class for all Self Organizing Feature Maps. More...
class  SOFM2D
 This is a Self-Organizing Feature Map with a 2-D grid of neurons. More...
class  SOFM2DVisualizer
 This class provides some possibilites to visualize the given SOFM. More...
class  stdLayer
 This abstract class implements a standard neural network layer. More...
class  supervisedInstanceClassifier
 Abstract class, parent of all supervised instance classifiers. More...
class  supervisedInstanceClassifierFactory
 This class defines a factory for classifiers. More...
class  supervisedSequenceClassifier
 Abstract class, parent of all supervised classifiers for sequences. More...
class  svm
 Implements a support vector machine (SVM). More...
class  unsupervisedClassifier
 Abstract class, parent of all unsupervised classifiers. More...
class  activeShapeModel
 This is the base class for active shape models (ASM). More...
class  axLocalRegions
 This functor is based on concepts described in Lowe, D.G. More...
class  axOGDFeature
 OGD based texture feature. More...
class  backgroundModel
 Implementation of an part of the paper 'Pfinder: Real-Time Tracking of the Human Body' from Wren, Azarbayejani, Darrell and Pentland published in IEEE PAMI July 1997, vol 19, no 7, pp. More...
class  bayerDemosaicing
 This functor makes a color interpolation of common BAYER Patterns used in digital cameras. More...
class  bicubicInterpolator
 This functor use bicubic interpolation to approximate values between the pixels or elements of vectors and matrices. More...
class  bilinearInterpolator
 This functor use bilinear interpolation to approximate values between the pixels or elements of vectors and matrices. More...
class  cityBlockKernel
 cityBlock filter kernel More...
class  chessBoardKernel
 chessboard filter kernel or square filter kernel More...
class  octagonalKernel
 octagonal filter kernel More...
class  euclideanKernel
 euclidean filter kernel More...
class  biquadraticInterpolator
 This functor use biquadratic interpolation to approximate values between the pixels or elements of vectors and matrices. More...
class  blobEM
 Estimates the position of M overlapping blobs by applying the EM-algorithm and estimating the parameters of a gaussian mixture model that fits the blobs. More...
class  blueScreen
 This functor replaces a specified background color of an image with another color or another image ("Bluescreen Technique"). More...
class  borderExtrema
 This functor extracts minimum and maximum positions along a border in terms of distance to a given center point. More...
class  borderSignature
 This functor extracts a functional border description from a borderPoint list. More...
class  boundingBox
 Generate an image containing a region of another one specified through a contour-instance, or compute the "best" rectLocation that contains the specified region. More...
class  brightRGB
 This functor splits an image into its three channels (R.G,b) and then calculates the Minimum, Maximum, Average, Median or Average and Variance over their values, depending on the parameter type. More...
class  calibrationBlobFeatures
 To calibrate the camera optic feature points of an calibration pattern must be extracted. More...
class  camshiftTracker
 This is the implementation of the CAMSHIFT (Continuously Adaptive Mean Shift) Tracking algorithm as described in: G.Bradski, "Computer Vision Face Tracking For Use in a Perceptual User Interface", IEEE Workshop on Applic.Comp.Vis.,1998. More...
class  cannyEdges
 The Canny Edge Detector is a standard algorithm, designed to detect "optimal" edges. More...
class  cartesianToPolar
 Computes the elements of the polar coordinate system (value,phase) based on the parameters of the cartesian coordinate system (x,y). More...
class  channelStatistics
 This functor splits an image into three channels of a color space set in the parameters (see parameters::setSplitter() ). More...
class  chromaticityHistogram
 Create a chromaticity histrogram feature vector. More...
class  chrominanceMapEstimator
 This class computes a map between the chrominances and the most likely object based on chrominance histograms and the Bayes Theorem. More...
class  chrominanceMapMasking
 This class performs color segmentation in the chrominance plane using a chrominance map which may be drawn manually or computed by the chrominance map estimator class. More...
class  chrominanceModelEstimator
 This class stores a 2d histogram containing all chrominances which have been seen on a specific object. More...
class  classicEdgeDetector
 This class implements simple standard edgedectors like Sobel. More...
class  coilBackgroundSegmentation
 The coilBackgroundSegmentation functor tries to detect which pixels belong to the background and which not. More...
class  colorACASegmentation
 Color Adaptive Clustering Algorithm. More...
class  colorContrastGradient
 The contrast gradient is used in color or multi-spectral image as a replacement of the gray-value gradient in gray images. More...
class  colorEdgesGS
 Gevers and Stokman color edges. More...
class  colorModelEstimator
 This functor is used to create three-dimensional histograms for the colors of images. More...
class  colorModelSelector
 This functor selects one color model from a set, which elements were given by addColorModel. More...
class  colorNormalizationBase
 Parent class for color normalization methods usually used to eliminate the effects of illumination changes. More...
class  colorQuantization
 Abstract parent class for all color quantization algorithms All color quantization functors must overload the apply-member defined here. More...
class  comprehensiveColourNormalization
 This class implements the algorithm described in the paper "Comprehensive Colour Image Normalization" by Finlayson, Schiele and Crowley. More...
class  computePalette
 This class is used to compute a palette given a color image and an index mask. More...
class  chainCode
 Elements of a Chaincode. More...
class  ioPoints
 Contour classes: IO-Points. More...
class  borderPoints
 Contour classes: Border-Points. More...
class  areaPoints
 Contour classes: Area-Points. More...
class  convexHull
 Computes the convex hull of a set of points. More...
class  convolution
 Convolution functor. More...
class  convHelper1D
 pre-convolution algorithm for a vector * kernel1D The type T is the type of the elements of the vector and kernel1D The class A determines how the values should be accumulated. More...
class  convHelper2D
 pre-convolution algorithm for a matrix * kernel2D The type T is the type of the elements of the vector an kernel1D The class A determines how the values should be accumulated. More...
class  cornerDetector
 Parent class for all corner detectors. More...
class  cornerDetectorFactory
 This class defines a factory for corner detector functors. More...
class  correlation
 Correlation functor. More...
class  crossCorrelationCoefficient
 This class computes the normalized cross correlation coefficient between two matrices or vectors. More...
class  csPresegmentation
 The csPresegmentation functor (states for color space presegmentation) tries to detect which pixels belong to the background and which not. More...
class  curvatureFeature
 The curvature feature is similar to the lti::orientationFeature, but instead of creating a histogram of the pixel orientations, a histogram of the curvature of a pixel will be done, considering also the "relevance" channel when constructing it. More...
class  curvatureScaleSpace
 Curvature Scale Space Representation (CSS). More...
class  cwagmSegmentation
 CWAGM Segmentation. More...
class  decimation
 Decimation. More...
class  dilation
 Dilation functor. More...
class  distanceTransform
 This simple morphological operator assumes that the input data is a binary image, i.e. More...
class  downsampling
 This functor is used to downsample images. More...
class  draw
 Object for drawing a number of geometric figures and lists thereof, simple texts and a few other types with graphic representation in a lti::matrix. More...
class  draw2DDistribution
 This class draws a 2-D distribution into an image or a channel. More...
class  draw3D
 Tool for drawing 3D points and lines in a lti::matrix. More...
class  rayTraceObject
 abstract class parent for all objects that can be ray-traced. More...
class  rayTraceEllipsoid
 Ray tracing object for ellipsoids. More...
class  draw3DDistribution
 Draws a three dimensional distribution. More...
class  drawBase
 Abstract parent class for draw and epsDraw. More...
class  drawFlowField
 Draws the visualization of a two dimensional flowfield. More...
class  edgeDetector
 Parent abstract class for all edge detectors. More...
class  edgeDetectorFactory
 This class defines a factory for edge detector functors. More...
class  edgeSaliency
 A class for edge based strcutural saliency calculations. More...
class  epsDraw
 Object for drawing lines and points and geometric objects to an (E)PS file. More...
class  erosion
 Erosion functor. More...
class  expandVector
 This class is used to map a function f(x) represented by a vector into another scale f(g(x)), where g(x) can be given. More...
class  faceThreshold
 The ltiFaceThreshold-class calculates for a given skin probability mask of an image an extraction-threshold that allows to 'cut-out' the face (blob) of the shown person. More...
class  fastCircleExtraction
 This functor implements a fast circle extraction using the line segments found in digital images. More...
class  fastEllipseExtraction
 This functor implements a fast ellipse extraction using the line segments found in digital images. More...
class  fastLineExtraction
 This functor implements a fast line extraction using the line segments found in digital images. More...
class  fastRelabeling
 This functor takes a mask (labeled or not), where it is assumed that a region must be connected or not and reassignes labels to them in a way that each connected region gets its own label. More...
class  featureExtractor
 The feature extractors are functors which extract information from the given images or channels, and leave this information in the form of vectors of doubles. More...
class  featureSaliencyAx
 Feature saliency map for AXIOM. More...
class  featureSaliencyIK
 Feature Saliency for color images. More...
class  filledUpsampling
 Filled Upsampling. More...
class  filter
 Base class for all filters. More...
class  flipImage
 Flips an image horizontally or vertically. More...
class  fMatrixEstimator
 A class for estimating the fundamental matrix with a least squares approach. More...
class  fMatrixEstimatorBase
 A base class for estimating the fundamental matrix with a least squares approach. More...
class  fundamentalMatrixSolverLMS
 This Algorithm determines the fundamental matrix from point correnspondences in two images. More...
class  fourierDescriptor
 This class generates fourier descriptors. More...
class  frankotChellapa
 The Francot-Chellapa argorithm extracts a depth image from an intensity image. More...
class  gaborKernel
 two-dimensional gabor filter kernel More...
class  gaborKernelSep
 two-dimensional separable gabor filter kernel More...
class  gaborPyramid
 GaborPyramid class. More...
class  gaussianPyramid
 GaussianPyramid class. More...
class  gaussKernel1D
 one-dimensional filter kernel More...
class  gaussKernel2D
 Two-dimensional Gaussian filter kernel. More...
class  genericInterpolator
 This functor use a generic interpolation concept based on look-up-tables for the interpolation kernels. More...
class  geometricFeatureGroup0
 Description of the simpliest geometric features given by the rectangle surrounding the object, the object's area and the center of gravity. More...
class  geometricFeatures
 Computes features, which describe some geometric properties of a 2D shape. More...
class  geometricFeaturesFromMask
 This functor takes a mask (labeled or not), where it is assumed that a region must be connected or not and reassigned labels to them in a way that each connected region gets its own label. More...
class  geometricTransform
 This functor implements an generic geometric transform based on a homogeneous matrix, which is able to represent rotations, translations scalings and all other possibilites of homographies. More...
class  gHoughTransform
 The Generalized-Hough-Transform. More...
class  globalFeatureExtractor
 The feature extractors are functors which extract information from the given images or channels, and leave this information in the form of vectors of doubles. More...
class  gradientASM
 This class implements an alignment strategy for activeShapeModel (ASM). More...
class  gradientFunctor
 The gradient is a simple wrapper for the convolution functor with some convenience parameterization to choose between different common gradient kernels. More...
class  gradientKernelX
 Two-dimensional separable filter kernels for the gradient approximation. More...
class  gradientKernelY
 Two-dimensional separable filter kernels for the gradient approximation. More...
class  sobelKernelX
 Sobel Kernel X. More...
class  sobelKernelY
 Sobel Kernel Y. More...
class  prewittKernelX
 Prewitt Kernel X. More...
class  prewittKernelY
 Prewitt Kernel Y. More...
class  harrisKernelX
 Harris Kernel X. More...
class  harrisKernelY
 Harris Kernel Y. More...
class  robinsonKernelX
 Robinson Kernel X. More...
class  robinsonKernelY
 Robinson Kernel Y. More...
class  kirschKernelX
 Kirsch Kernel X. More...
class  kirschKernelY
 Kirsch Kernel Y. More...
class  graphicsPattern
 graphicsPattern template class. More...
class  linePattern
 Line pattern class. More...
class  fillPattern
 Fill pattern class. More...
class  grayWorldNormalization
 Performs a color normalization on an lti::image using a gray world approach, in order to eliminate effects of illumination colour. More...
class  guyMedioniSaliency
 The Guy-Medioni saliency is a procedure for perceptual grouping of low level features like points and edges. More...
class  harrisCorners
 Harris Corner Detector. More...
class  hessianFunctor
 The hessianFunctor calculates three channels from an input channel L:. More...
class  hessianKernelXX
 Two-dimensional kernels to compute the Hessian coefficients. More...
class  hessianKernelYY
 Two-dimensional kernels to compute the Hessian coefficients. More...
class  hessianKernelXY
 Two-dimensional kernels to compute the Hessian coefficients. More...
class  histogramEqualization
 HistogramEqualization equalizes the values of the given channel, channel8, vector<ubyte> or fvector within the given input range and maps these equalized values to the given output range. More...
class  histograming1D
 This class extracts a 1D histogram from a channel or channel8. More...
class  histogramRGBL
 This simple feature consists on four independently calculated histograms, one for each color component R, G and B and the luminance L, defined as L = (min(R,G,B) + max(R,G,B))/2. More...
class  hmmTrellisDiagram
 Draws the trellis diagram for visualizing the viterbi path selection given by lti::hmmViterbiPathSearch for a lti::hiddenMarkovModel! More...
class  homography8DofEstimator
 This class computes the parameters of the perspective transformation between two images using a non-homogenous approach and least squares. More...
class  homography9DofEstimator
 This class computes the parameters of the perspective transformation between two images using an homogenous approach and least squares. More...
class  homographyEstimatorBase
 A parent class for estimating a transform that can be converted to a homography. More...
class  homographyEstimatorFactory
 This class defines a factory for homography estimator functors. More...
class  hPoint2D
 Homogeneous point in two dimensions Note that an homogeneous two-dimensional point has three elements: x,y and h. More...
class  hPoint3D
 Homogeneous point in three dimensions. More...
class  hMatrix
 Homogeneous matrix for projective space transformations. More...
class  hMatrix2D
 Homogeneous matrix to represent linear transformations in a two-dimensional projective space. More...
class  hMatrix3D
 Homogeneous matrix in 3D projective space. More...
class  huMoments
 Extracts the 7 moment invariants as described in "Visual Pattern Recognition by Moment Invariants" by Ming-Kuei Hu (IRE Transactions on Information Theory, 1962). More...
class  image
 The one and only RGB-image format. More...
class  channel
 a format for float channels. More...
class  channel8
 a format for 8-bit-channels. More...
class  channel32
 a format for signed 32-bit-channels. More...
class  isotropicNormalization
 A class for isotropic normalizations of point sets. More...
class  kalmanFilter
 A discrete linear Kalman filter implementation. More...
class  kalmanTracker
 A tracker implementation making use of the class kalmanFilter. More...
class  kMColorQuantization
 k-Means based color quantization. More...
class  kMeansSegmentation
 A segmentation algorithm which is based on a color-quantization algorithm followed by a smoothing filter. More...
class  kNearestNeighFilter
 A smoothness filter for label images (channel8,matrix<int>) which uses the idea of the k-Nearest Neighbour concept. More...
class  kullbackContrast
 Calculate the Kullback-Constrast for a channel, as described in: Jagersand, Martin. More...
class  labelAdjacencyMap
 Visualize a label mask in a color image. More...
class  laplacianKernel
 Two-dimensional kernels to compute the Laplacian. More...
class  laplacianPyramid
 LaplacianPyramid class. More...
class  kernel1D
 one-dimensional filter kernel More...
class  kernel2D
 two-dimensional filter kernel More...
class  sepKernel
 Separable Kernel. More...
class  linearRegressionTracking
 With this tracking algorithm it is possible to track the movement of an object together with scaling and rotation in the image plane. More...
class  lkmColorQuantization
 Color quantization functor based on the local k-Means algorithm of O. More...
class  lkTracker
 This functor implements a hierachical Lucas Kanade optical flow. More...
class  localColorFeature
 This functor calculates for each location in a given list color-features. More...
class  localFeatureExtractor
 The local feature extractors are functors which extract information from the given images or channels at the given locations. More...
class  localMaxima
 This simple functor tries to find the local maxima at a given window and suppresses all other values, setting them the "nonMaxValue" given in the parameters (usually 0). More...
class  localMoments
 This local feature extractor can be used to estimate the standardized moments (Mean, Variance, Skew and Kurtosis) of a certain circular area around the given location. More...
class  location
 The location class specifies a small region in an image or channel. More...
class  rectLocation
 The rectLocation class specifies a small region in an image or channel. More...
class  locationSelector
 This functor adjust the given list of locations by a given mask. More...
class  loweGradientFeature
 Local feature based on the gradient distribution at the level of the location. More...
class  maskImage
 This functor is used to mask color images with labeled or unlabeled masks. More...
class  maximumFilter
 This is an efficient implementation of the non-linear maximum filter. More...
class  meanShiftSegmentation
 This is the implementation of the mean shift segmentation algorithm. More...
class  meanshiftTracker
 This is the implementation of the MEANSHIFT Tracking algorithm as described in: Comaniciu, Ramesh and Meer, "Real-Time Tracking of Non-Rigid Objects using the Mean Shift", IEEE Workshop on Applic.Comp.Vis.,2000. More...
class  medianCut
 This class does color quantization with median-cut-algorithm (Heckbert, MIT 1980). More...
class  medianFilter
 This class implements the median filter. More...
class  mergeCIELuvToImage
 Merge CIE Luv channel into an color image. More...
class  mergeHLSToImage
 Merge HLS channels (Hue, Luminance, Saturation). More...
class  mergeHSIToImage
 Merge HSI (Hue Saturation Intensity) channels. More...
class  mergeHSVToImage
 Merge HSV channels (Hue, Saturation, Value). More...
class  mergeImage
 Base class for all merge image functor-classes. More...
class  mergeOCPToImage
 Merge linear opponent color channels OCP. More...
class  mergeRGBToImage
 Merge RGB channels. More...
class  mergergIToImage
 Merge chromaticity channels rgI. More...
class  mergexyYToImage
 Merge chromaticity xyY channels. More...
class  mergeXYZToImage
 Merge XYZ channels. More...
class  mergeYCbCrToImage
 Creates RGB values from given YCbCr values by merging float or ubyte values to an rgbPixel, merging channels(floats) or channel8s(ubytes) to an Image. More...
class  mergeYIQToImage
 Merge YIQ channels (Luminance, Inphase, Quadrature). More...
class  mergeYPbPrToImage
 Creates RGB values from given YPbPr values by merging float or ubyte values to an rgbPixel, merging channels(floats) or channel8s(ubytes) to an Image. More...
class  mergeYUVToImage
 Compute RGB values from given YUV values by merging float or ubyte values to an rgbPixel, merging channels(floats) or channel8s(ubytes) to an Image. More...
class  modifier
 Base class for all filters and other functors, which transform an image or channel in another image of the same type. More...
class  monteCarloEstimator
 A parent class for estimating a transform from point sets while detecting and discarding outliers. More...
class  morphology
 Base class for all morphological operators. More...
class  multiclassNormalizedCuts
 Multiclass normalized cuts. More...
class  multiGeometricFeaturesFromMask
 This functor takes a mask (labeled or not), where it is assumed that a region must be connected or not and reassigns labels to them in a way that each connected region gets its own label. More...
class  nearestNeighborInterpolator
 This functor use nearestNeighbor interpolation to approximate values between the pixels or elements of vectors and matrices. More...
class  nonMaximaSuppression
 The non-maxima suppression is usually the last stage of edge detectors (the most prominent example is the Canny Edge Detector, see lti::cannyEdges), but it can also be employed in other similar tasks, like detection of saliency edges from "structural" saliency maps (see for example lti::guyMedioniSaliency). More...
class  objectsFromMask
 This class works on channel8/imatrix to extract connected components and describes them as the topological order of "objects" and "holes". More...
class  ogdFilter
 oriented gaussian derivatives steerable filters More...
class  ogd1Kernel
 First order Oriented Gaussian Derivative. More...
class  ogd2Kernel
 Second order Oriented Gaussian Derivative. More...
class  opponentColor
 This functor generates an "opponent color" channel from the given two channels, one representing the center, the other representing the surround. More...
class  opticalFlowHS
 Computes the optical flow between two consecutive images according to Horn-Schunks gradient based method. More...
class  opticalFlowLK
 This class computes the optical flow between two consecutive images according to the gradient based method of Lucas+Kanade. More...
class  optimalThresholding
 Threshold segmentation of a single channel with the optimal threshold value. More...
class  orientationFeature
 The orientation feature takes two channels: a "relevance" channel and an "orientation" channel, and with them it creates an orientation histogram with the given number of cells. More...
class  orientationMap
 Generate an orientation map of a given channel. More...
class  orientedHLTransform
 This functor is used to make a fast Hough Line Transform and creates a channel32 transformation accumulator. More...
class  overlappingSets2D
 Considering 2d sets, which may overlap, one might ask in which sets a particular 2d point is contained. More...
class  patternDraw
 Object for drawing lines and points in a lti::matrix with support for line and fill patterns. More...
class  pdmGenerator
 This class creates a pointDistributionModel (PDM) given a set of shapes of type pointDistributionModel::shape. More...
class  pointDistributionModel
 This class is the data structure for a Point Distribution Model (PDM). More...
class  tpointList
 tpointList template class. More...
class  pointSetNormalization
 A parent class for normalizations of point sets. More...
class  polarToCartesian
 Computes the elements of the cartesian coordinate system (real,imaginary) based on the parameters of the polar coordinate system (absolute value, phase). More...
class  polygonApproximation
 Computes a polygon approximation for a given border point list. More...
class  tpolygonPoints
 Contour classes: polygonPoints. More...
class  polygonPoints
 Polygon Points of Integer Points. More...
class  probabilityMap
 Probability Map based on 3D non-parametric (color) models. More...
class  probabilityMap2D
 Probability Map based on 2D non-parametric (color) models. More...
class  probabilityMapBase
 base class for all probability map classes, e.g. More...
class  pyramid
 Pyramid class. More...
class  pyramidLocationSearch
 Search for salient locations in the scale space of a channel. More...
class  qmf
 This class implements dyadic wavelet-transform as quadrature mirror filters. More...
class  qmfEnergy
 The qmfEnergy is a functor for extraction of texture features. More...
class  qmfInverse
 This class allows the reconstruction of channels which were wavelet- transformed by the functor lti::qmf. More...
class  haarKernel
 the Haar filter kernel More...
class  daubechies16Kernel
 16 tap Daubechies filter kernel More...
class  battleLemarieKernel
 Battle-Lemariè filter kernel. More...
class  tap9Symmetric
 9 tap symmetric filter kernel More...
class  quadTreeSegmentation
 Quad-Tree based color image segmentation method. More...
class  ransacEstimator
 This class estimates a transform using the Ransac algorithm. More...
class  realFFT
 A class for FFT. More...
class  realInvFFT
 A class for inverse FFT. More...
class  regionGraphFunctor
 Functor to manipulate graphs of adjacent image regions. More...
class  regionGraphMeansNode
 Type for adjacency graph nodes containing the mean values of each region. More...
class  regionGraphScalarMeanDistance
 Compute the weight between two scalar nodes as the absolute value of the difference. More...
class  regionGraphScalarHarisDistance
 Compute the weight between two scalar nodes as the absolute value of the difference. More...
class  regionGraphColorMeanDistance
 Compute the weight between two color point nodes as the euclidean distance between both points. More...
class  regionGraphColorHarisDistance
 Compute the weight between two color point nodes as the euclidean distance between both points. More...
class  regionGraphColor
 Functor to manipulate graphs of adjacent image regions, where the nodes of the graphs contain the mean value of the region represented by the node. More...
class  regionGraphGray
 Functor to manipulate graphs of adjacent image regions, where the nodes of the graphs contain the mean value of the region represented by the node. More...
class  regionGrowing
 This class is used to segmentate an image with a regular background. More...
class  regionMerge
 This functor uses a similarity matrix (see lti::similarityMatrix) and a threshold value given in the parameters to decide if two objects in a mask (also returned by lti::similarityMatrix or by lti::objectsFromMask) should be merged or not. More...
class  regionShapeFeatures
 This functor computes descriptors for shapes, decomposing a binary mask as a sum of some basis functions. More...
class  regionsPolygonizer
 This functor takes a labeled mask and for each region therein it computes a polygon approximation of its contour. More...
class  relativeThresholding
 This class implements percentual Thresholding. More...
class  robustEstimator
 A parent class for estimating a transform from sets of points in a robust manner. More...
class  rotation
 Rotation implements a rotation functor. More...
class  saliency
 base class for all saliency modifiers. More...
class  scalarValuedInterpolatorFactory
 This class defines a factory for interpolator functors derived from lti::scalarValuedInterpolation<T>. More...
class  scaleSpacePyramid
 Image pyramid to represent the scale space. More...
class  scaling
 Scaling implements a functor to rescale an image using a real valued scaling factor. More...
class  scene3D
 Tool for creating three dimensional scenes. More...
class  schieleCrowley6DFeature
 This functor create huge lists of local features, that can be used to train the multidimensional receptive field histograms of Schiele and Crowley (see lti::shClassifier). More...
class  andoKernelXX
 Two-dimensional separable filter kernels for the second derivative approximation. More...
class  andoKernelXY
 Two-dimensional separable filter kernels for the second derivative approximation. More...
class  andoKernelYY
 Two-dimensional separable filter kernels for the second derivative approximation. More...
class  sobelKernelXX
 Sobel Kernel XX. More...
class  sobelKernelXY
 Sobel Kernel XY. More...
class  sobelKernelYY
 Sobel Kernel YY. More...
class  prewittKernelXX
 Prewitt Kernel XX. More...
class  prewittKernelXY
 Prewitt Kernel XY. More...
class  prewittKernelYY
 Prewitt Kernel YY. More...
class  harrisKernelXX
 Harris Kernel XX. More...
class  harrisKernelXY
 Harris Kernel XY. More...
class  harrisKernelYY
 Harris Kernel YY. More...
class  robinsonKernelXX
 Robinson Kernel XX. More...
class  robinsonKernelXY
 Robinson Kernel XY. More...
class  robinsonKernelYY
 Robinson Kernel YY. More...
class  kirschKernelXX
 Kirsch Kernel XX. More...
class  kirschKernelXY
 Kirsch Kernel XY. More...
class  kirschKernelYY
 Kirsch Kernel YY. More...
class  segmentation
 Base class for all segmentation algorithms. More...
class  selective2DConvolution
 This modifier is used to convolve individual points of a given channel with a arbitrary kernel2D<float> (e.g. More...
class  shapeFeatureExtractor
 Base class for all clases which extract features from shapes displayed with pointLists. More...
class  shiftInvariance
 This functor takes a vector, which is supposed to be periodic, and generates a second "normalized" shifted one. More...
class  similarityMatrix
 Given a set of connected image regions (coded in a labeled mask or std::list of area point lists) and the original color image, this functor will compute a similarity measure between the objects, and will code them in a similarity matrix. More...
class  skeleton
 Homotopy preserving Skeleton. More...
class  skinASM
 This is an alignment strategy for activeShapeModels (ASM), that works on a gradient channel and a skin probability channel, to trace skin colored objects. More...
class  skinProbabilityMap
 creates a skin probability map. More...
class  snake
 Snake segmentation. More...
class  splitImage
 Parent for all classes that split image into differen color spaces components (color channels). More...
class  splitImageFactory
 This class defines a factory for functors that split color images in their color components. More...
class  splitImageToCIELuv
 Split image in its L$^*$u$^*$v$^*$ channels. More...
class  splitImageToGSC
 Split image in its c1, c2 and c3 components, as described in T. More...
class  splitImageToGSL
 Split image in its l1, l2 and l3 components, as described in T. More...
class  splitImageToHLS
 Split image in its Hue - Luminance - Saturation channels. More...
class  splitImageToHSI
 Split image in its Hue - Saturation - Intensity channels. More...
class  splitImageToHSV
 Split image in its Hue - Saturation - Value channels. More...
class  splitImageToOCP
 Split image in an oponent colour system. More...
class  splitImageToRGB
 Split image in its Red - Green - Blue channels. More...
class  splitImageTorgI
 Split image in its chromaticity channels. More...
class  splitImageToxyY
 Split image in its xyY norm chromaticity channels. More...
class  splitImageToXYZ
 Split image in its XYZ norm channels. More...
class  splitImageToYCbCr
 Computes the YCbCr values from a given RGB color representation (rgbPixel). More...
class  splitImageToYIQ
 Split image in its Luminance Inphase Quadrature channels. More...
class  splitImageToYPbPr
 Computes the YPbPr values from a given RGB color representation (rgbPixel). More...
class  splitImageToYUV
 Computes the YUV values from a given RGB color representation (rgbPixel). More...
class  squareConvolution
 This is an efficient implementation of the convolution with a square or rectangular kernel. More...
class  susan
 A class for SUSAN image Processing. More...
class  susanCorners
 Corner finder with the Susan low level image processing algorithm. More...
class  susanDenoise
 The susan denoiser enhances pictures by removing the noise from any colour channel. More...
class  susanEdges
 The Susan Edge Detector. More...
class  temporalTemplate
 This functor implements temporal templates, as described by James Davis and Aaron Bobick in "The Representation and Recognition of Action Using Temporal Templates", MIT Media Lab, Tech. More...
class  thresholding
 Threshold segmentation of a single channel (monochrom) image or a contour. More...
class  thresholdSegmentation
 Threshold segmentation of a single channel (monochrom) image or a contour. More...
class  transform
 A base class for integral transformations. More...
class  transformEstimator
 A parent class for estimating a transform from sets of points. More...
class  transformEstimatorFactory
 This class defines a factory for transform estimator functors. More...
class  translationScaleEstimator
 This class estimates a translation and common scale for the x and y coordinates, i.e. More...
class  triangularKernel1D
 one-dimensional filter kernel More...
class  upsampling
 Upsampling is the complementary functor to lti::downsampling. More...
class  usePalette
 Use color or gray-valued palette. More...
class  watershedSegmentation
 Watershed segmentation of a channel8. More...
class  whiteningSegmentation
 The whitening segmentation is an extention of the k-Means based segmentation (see lti::kMeansSegmentation). More...
class  ioImage
 Base class to functors which load and save images in all formats. More...
class  loadImage
 Functor to read an image file. More...
class  saveImage
 This class is used to save lti::image or lti::channel objects in files of one of the formats supported by the LTI-Lib. More...
class  ascii85Codec
 Encodes a byte array to an array of hexadecimal digits or performs the corresponding decoding method, depending on the parameters. More...
class  asciiHexCodec
 Encodes a byte array to an array of hexadecimal digits or performs the corresponding decoding method, depending on the parameters. More...
class  binarizationCodec
 Encodes a byte array to an array of bits. More...
class  ioBMP
 Base class to functors which load and save images in BMP format. More...
class  loadBMP
 Functor to read a bitmap (BMP) file. More...
class  saveBMP
 Functor to save a bitmap (BMP) file. More...
class  camera
 Parent class for all cameras with control over the lens system, including zooming. More...
class  combinedCodec
 This is the base class for data encoding and decoding. More...
class  configFileHandler
 Write and read config files, similar to windows ini files. More...
class  dataCodec
 This is the base class for data encoding and decoding. More...
class  dataTransformer
 This is the low-level base class for data transformers. More...
class  directedPerceptionPTU
 This class performs handling of the pan-tilt unit PTU-D46-17 from the manufactor DirectedPerception. More...
class  fireWireDCAM
 Grab imags from FireWire Cameras. More...
class  frameGrabber
 frame grabber class. More...
class  identityCodec
 This is a dummy codec that does absolutely nothing. More...
class  ioFunctor
 Base class to all io functors. More...
class  endianness
 Endianness This class is used to read data from a file with a known endianness. More...
class  ioJPEG
 Base class to functors which load and save images in JPEG format. More...
class  loadJPEG
 Functor to read a JPEG file It is NOT thread save, this means, the SAME instance can not be used from different threads or processes at the same time. More...
class  saveJPEG
 Functor for writing a lti::image to a JPEG file To save a JPEG image just initialize the parameters of the "saveJPEG" object and call the apply member. More...
class  leutronFrameGrabber
 Interface to all Leutron framegrabbers in the system. More...
class  lncFeatureFile
 parent class for the functors which deal with the ASCII file format to store feature vectors. More...
class  loadLnc
 class to load lnc-files (ascii format to store feature vectors) More...
class  saveLnc
 class to save lnc-files (ascii format to store feature vectors) More...
class  loadImageList
 This functor loads images given either in a std::list of strings, a special file or a whole directory: Each apply call loads the next image from the list. More...
class  loadVectorImageList
 This functor loads a list of images and transforms each into a vector or all into a matrix where each row contains a vector image. More...
class  ioLTI
 Base class to functors which load and save images in LTI format. More...
class  loadLTI
 Functor to read a bitmap (LTI) file. More...
class  saveLTI
 Functor to save a bitmap (LTI) file. More...
class  microEnablePulnix
 Silicon Software channel link frame grabber (Linux version!). More...
class  panTiltUnit
 Parent class for all pan tilt units. More...
class  ioPNG
 Base class to functors which load and save images in PNG format. More...
class  loadPNG
 Functor to read a Portable Network Graphic (PNG) file. More...
class  savePNG
 Functor to save a Protable Network graphic (PNG) file. More...
class  quickCam
 class to access the quick cam camera system (for LINUX only!) More...
class  runLengthCodec
 Encodes a byte array to an array of hexadecimal digits or performs the corresponding decoding method, depending on the parameters. More...
class  sonyEviD100P
 Access to the Sony Evi D100P camera and pan tilt unit. More...
class  toUCam
 Philips USB ToUCam "frame grabber". More...
class  uciDataReader
 Reads data in the form as it is often found in standard data sets: Raw data either just a matrix of doubles with each row a feature vector, or rows containing feature vectors and an id as last element of the row. More...
class  uciDataWriter
 Writes data in the form as it is often found in standard data sets: Raw data either just a matrix of doubles with each row a feature vector, or rows containing feature vectors and an id as last element of the row, or raw data with or without ids and a header with the number of points and the dimensionality. More...
class  binaryStreamHandler
 Binary stream handler. More...
class  ioHandler
 Input/output handlers. More...
class  ioObject
 basic input/output class for data objects More...
class  lispStreamHandler
 The lispStreamHandler class offer an interface for the functor parameters and other classes to read() and write() them in a LISP-like format. More...
class  absoluteValue
 AbsoluteValue functor class. More...
class  addScalar
 addScalar functor class. More...
class  symmetricEdgeTraits
 Basic class for symmetric edges. More...
class  asymmetricEdgeTraits
 Basic class for asymmetric edges. More...
class  adjacencyGraphVoidWeightFunction
 Dummy weigh functor that returns the default weight type. More...
class  adjacencyGraph
 Adjacency Graph. More...
class  arctanLUT
 Following class provides a mono-state object that contains a 1MB Look-up Table to accelerate the computation of the arc-tangens. More...
class  array
 Array class. More...
class  backSubstitution
 Backsubstitution. More...
class  bhattacharyyaDistance
 Computes the bhattacharyya distance of two distributions. More...
class  binomialDistribution
 This functor implements the binomial distribution. More...
class  boundsFunctor
 Boudaries of a hyperbox enclosing all points of a n-dimensional space. More...
class  chiSquareFunctor
 chiSquareFunctor calculates the chiSquareValue indicating the likelihood, that the considerd elements are drawn from a gaussian normal distribution. More...
class  choleskyDecomposition
 This functor calculates the Cholesky decomposition of a symmetric, positive-definite matrix A. More...
class  complex
 Class to represent and manipulate complex numbers. More...
class  constants
 This class is a container of some mathematical and physical constants. More...
class  continuousRandomDistribution
 Base random number class. More...
class  coordinateTransformation
 This class transforms the coordinates of a 3D point between two coordinate systems. More...
class  cosinus2Similarity
 Quadratic Cosinus Similarity. More...
class  cubicSpline
 This functor implements a cubic spline interpolation for tabulated functions. More...
class  cyclicTridiagonalEquationSystem
 Solves a special kind of linear equation system, where only the main diagonal and the first lower and upper sub-diagonals and the two "other corners" (top right and bottom left) of the matrix are non-zero. More...
class  delaunayTriangulation
 This class performs a delaunay triangulation on a given std::vector<tpoint<T> >. More...
class  discreteRandomDistribution
 Base random number class. More...
class  DistanceFromPixel
 This class derives the 3D position of an object from a 2D image point. More...
class  distanceFunctor
 This class is the base class for all functors which compute distances between two vectors or matrices as well as norms of vectors and matrices. More...
class  dynamicMatrix
 This template class allows the use of matrices which change its dimensions without losing any data. More...
class  earthMoversDistance
 The Earth Mover's Distance (EMD) is a robust distance measure between two distributions. More...
class  eigenSystem
 eigenSystem functor. More...
class  jacobi
 jacobi functor. More...
class  entropyFunctor
 Functor which computes entropy for vectors and matrices. More...
class  equallySpacedSamplesInterpolator
 This abstract class parents all interpolation functors, whose samples have equal distances to each other (per dimension). More...
class  linearEquationSystemSolutionMethod
 Abstract base class for all lti linear equation system solution functors to solve Ax=b. More...
class  decompositionSolution
 Abstract base class for all lti linear equation system solution functors using matrix decomposition to solve Ax=b. More...
class  qrSolution
 QR solution functor. More...
class  luSolution
 LU solution functor. More...
class  euclideanSimilarity
 Euclidean Similarity Measure. More...
class  exponentialDistribution
 Exponentially distributed random number class. More...
class  fastICA
 This class implements a fast fixed point algorithm for the Independent Component Analysis (ICA). More...
class  tfastLine
 Type for computations with lines. More...
class  forwardSubstitution
 Forward substitution. More...
class  functionGenerator
 functionGenerator parses input strings representing mathematical functions of the type $f(x)$ and $f(x,y)$. More...
class  gammaDistribution
 Gamma distributed random number class. More...
class  gaussianDistribution
 Normal distributed random number class. More...
class  gaussian
 This function evaluates a multivariate gaussian with the form:

\[ g(\mathbf{x}) = \frac{1}{(2\pi)^{n/2} |\boldsymbol{\Sigma}|^{1/2}} \cdot \exp\left(-\frac{1}{2}(\mathbf{x}-\boldsymbol{\mu})^T \boldsymbol{\Sigma}^{-1}(\mathbf{x}-\boldsymbol{\mu})\right)\]

. More...

class  gaussianMixtureModel
 Functor which estimates a gaussian mixture model of a given data set. More...
class  generalizedEigenSystem
 Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x. More...
class  genericMatrix
 GenericMatrix container class. More...
class  genericVector
 Vector container class. More...
class  hiddenMarkovModel
 Hidden Markov Model (HMM) class. More...
class  thistogram
 Histogram template class. More...
class  histogram1D
 one dimensional histogram of type double More...
class  histogram2D
 two dimensional histogram of type double More...
class  hmmTrainer
 Hidden Markov Model (HMM) trainer. More...
class  hmmViterbiPathSearch
 This class finds and evaluates the best path through a Hidden Markov Model (HMM) for a given observation sequence $\mathbf{O}$. More...
class  interpolator
 This abstract class parents all interpolation functors. More...
class  iteratingFunctor
 Base class for all iterating functors. More...
class  kdTree
 A class for k-d tree. More...
class  kernelPCA
 Functor for computing a kernel principal component analysis. More...
class  l1Distantor
 Policy class used by several classifiers/trees to measure the distance between two points of type T. More...
class  l1Distance
 This member accumulates in the given accumulator, the given element. More...
class  l2SquareDistantor
 Policy class used by several classifiers/trees to measure the square of the euclidian distance between two points of type T. More...
class  l2Distantor
 This member accumulates in the given accumulator, the given element. More...
class  l2Distance
 This member accumulates in the given accumulator, the given element. More...
class  tline
 Type for computations with lines. More...
class  linearAlgebraFunctor
 Base class for all lti linear algebra functors. More...
class  scalarProduct
 Dot Product of two vectors. More...
class  linearMapperFunctor
 This functor maps a vector space of type Tin into another vector space of type Tout. More...
class  linearMixer
 Implements a mixing operator for vectors and matrices. More...
class  linearRegression
 The linear regression algorithm estimates a linear relation between two vector spaces. More...
class  linearSatMapperFunctor
 This functor maps a vector space of type Tin into another vector space of type Tout. More...
class  logarithm
 logarithm functor class. More...
class  mahalanobisDistance
 This class computes the mahalanobis distance. More...
class  mapperFunctor
 This class maps a vector in a n-dimensional space into another vector in a m-dimensional space. More...
class  maskFunctor
 The mask functor is a colection of boolean operations used in the processing of mask images or matrices. More...
class  maskMultiply
 alias with standard LTI-Lib interface for mask-multiply member of the maskFunctor More...
class  maskAlgebraicSum
 alias with standard LTI-Lib interface for mask-algebraicSum member of the maskFunctor More...
class  maskOr
 alias with standard LTI-interface for maskOr member of the maskFunctor More...
class  maskAnd
 alias with standard LTI-Lib interface for maskAnd member of the maskFunctor More...
class  maskNot
 alias with standard LTI-Lib interface for maskNot member of the maskFunctor More...
class  maskInvert
 alias with standard LTI-Lib interface for invert member of the maskFunctor More...
class  mathFunction
 Abstract class, used as parent for all mathematical parametrical functions, like multi-variate gaussians. More...
class  mathObject
 Base object for the math-classes. More...
class  matrix
 Mathematical matrix container class. More...
class  luDecomposition
 LU decomposition functor. More...
class  matrixInversion
 Matrix inversion functor. More...
class  meansFunctor
 Functor which computes several kinds of means for vectors and matrices. More...
class  minimizeBasis
 minimizeBasis functor. More...
class  minimumSpanningTree
 This class computes minimum spanning trees. More...
class  minimumSpanningTreeOfKeytype
 Computes a minimum spanning tree. More...
class  minimumSpanningTreeOfKeyValuetype
 Computes a minimum spanning tree of a given data set. More...
class  multivariateGaussian
 this class generates either one point from a given covarianceMatrix and centre or it generates a given number of points according to these parameters. More...
class  multiplyScalar
 Multiply by Scalar functor class. More...
class  noise
 Noise class. More...
class  principalComponents
 Functor for computing a principal component analysis. More...
class  poissonDistribution
 Poisson distributed random number class. More...
class  polynomRoots
 Find the roots of a polygon with real coefficients. More...
class  priorityQueue
 Simple priority queue data class. More...
class  pseudoInverseMP
 This functor calculates the Moore-Penrose Pseudo-Inverse of a matrix. More...
class  qrDecomposition
 This functor computes a QRDecomposition of a given rectangular m x n Matrix A of the Form:. More...
class  quickMedian
 This class is used to extract the median of the elements of a given vector or matrix. More...
class  quickMedian2
 This class is used to extract the median of the elements of a given vector or matrix, partitioning at the same time a second vector. More...
class  quickPartialSort
 Quick partial sort. More...
class  quickPartialSort2
 Quick partial sort with colateral effects. More...
class  randomDistribution
 Base random number class. More...
class  regularizedPCA
 Almost a functor for computing a principal component analysis. More...
class  scalarFunctor
 Base class for all scalar functors. More...
class  scalarValuedInterpolation
 This abstract class parents all interpolation functors, which are used to interpolate the values between the pixels or elements of vectors and matrices, espacially images. More...
class  scramble
 This class is used to scramble the elements of a given vector or matrix. More...
class  sequence
 sequence container class. More...
class  serialPCA
 Functor for sequentially computing a principal component analysis. More...
class  serialStatsExtFunctor
 Functor which computes several kinds of means for vectors and matrices. More...
class  serialStatsFunctor
 Functor which computes several kinds of means for vectors and matrices. More...
class  serialVectorStats
 Functor which computes the statistics of a series of vectors. More...
class  similarityFunctor
 This class is the base class for all functors which compute similarity measures between two vectors or matrices. More...
class  smallObjectList
 smallObjectList template class. More...
class  sort
 Sort vectors. More...
class  sort2
 Sort two vectors, using the first one as key. More...
class  sortExpensive
 Sorts elements in a list that are computationally expensive to compare. More...
class  sparseHistogram
 Simple sparse multidimensional histogram. More...
class  sparseMatrix
 SparseMatrix container class. More...
class  squareRoot
 squareRoot functor class apply sets each element of the T-object to it's square root. More...
class  square
 square functor class. More...
class  statisticsFunctor
 This is the base class for all kinds of nice statistics functors. More...
class  strassenMultiplication
 Implementation for the addtion forms:. More...
class  studentDistribution
 The Student t-test compares the means of two normally distributed samples of sizes n1 and n2, assuming that their unknown variances are equal. More...
class  singularValueDecomp
 Singular Value Decomposition. More...
class  symmetricMatrixInversion
 Functor for inversion of symmetric, positive definite matrices. More...
class  tensor
 Tensor template class. More...
class  tree
 Tree container class. More...
class  triangularMatrixType
 This is a helper class that defines the enum eTriangularType and has one member triangularType of that type. More...
class  tridiagonalEquationSystem
 Solves a special kind of linear equation system, where only the main diagonal and the first lower and upper sub-diagonals are non-zero. More...
class  triMatrix
 triMatrix is a very simple class to optimize memory usage when using an square triangular matrix with following form: More...
class  unifiedGeneralizedEigenSystem
 This functor is meant to be used for solving any generalized Eigenvalue problem without need to think about the most efficient usage of the available methods. More...
class  unifiedSVD
 This functor is meant to be used for calculating the Singular Vector Decomposition without need to think about the most efficient usage of the available methods. More...
class  unifiedSymmetricEigenSystem
 This functor is meant to be used for solving any symmetric Eigenvalue problem without need to think about the most efficient usage of the available methods. More...
class  uniformDistribution
 Uniform distributed random number class. More...
class  validator
 Checks the validity of a matrix or vector with float or double elements. More...
class  variablySpacedSamplesInterpolator
 This abstract class parents all interpolation functors, whose samples have varying distances. More...
class  varianceFunctor
 Functor which computes several kinds of variances for vectors and matrices. More...
class  vector
 Vector container class. More...
class  weightedGraph
 Weighted Graph container class. More...
class  getStreamFd
 This functor can be used to access the file descriptor that is used within a stream object. More...
class  mutex
 lti mutex class More...
class  processInfo
 LTI-Lib process info class. More...
class  readWriteLock
 lti read-write synchronisation class More...
class  semaphore
 lti semaphore class for inter-thread (not inter-process!) synchronisation More...
class  serial
 This serial class provides an unified interface to access serial ports in posix and windows operating systems. More...
class  thread
 lti thread class. More...
class  timer
 The timer allows to measure time with a precision of about 30us on Linux systems and ??? on windows systems. More...
class  url
 Class for retrieving documents identified by an URL. More...
class  externViewer
 This object shows an image using an external application like kview, xv, mspaint, etc. More...
class  colorDialog
 allows to choose a color in the HSI or RGB color space More...
class  gtkServer
 Server to administrate gtk GUI. More...
class  configGTKDialog
 widget for the statistics dialog More...
class  mainGTKWindow
 This class encapsulates all signals and calls of the GTK library. More...
class  histogramViewer
 This class display the histograms of images or channels. More...
class  hsvHistogramViewer
 A simple HSV histogram viewer. More...
class  scene3DViewer
 View a scene3D object. More...
class  viewer
 Use objects of this class to display your data in a window. More...
class  viewerBase
 Abstract class parent for all viewer objects in the LTI-Lib. More...
class  viewerBase3D
 This is the base class for all viewer classes which show 3D data. More...
class  viewerFunctor
 This viewerFunctor has as task to prepare an image, that will be visualized in the lti::viewer. More...
class  fastEigenSystem
 A fast LAPACK-based method for computation of (some) eigenvector and eigenvalues. More...
class  fastGeneralizedEigenSystem
 Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x. More...
class  fastSVD
 A fast LAPACK-based method for computation of the singular value decomposition SVD. More...
class  generalEigenVectors
 Generic eigenvalues and eigenvectors computations. More...
class  lapackInterface
 Interface object for LAPACK functions. More...
class  linearDiscriminantAnalysis
 Functor for computing a linear discriminant analysis (LDA). More...
class  serialLDA
 Functor for iteratively computing a linear discriminant analysis. More...
class  locationSearchEvaluation
 Pareto evaluation of the lti::pyramidLocationSearch functor. More...
class  paretoFront
 Pareto Front computation with PESA. More...
class  dummyFunctor
 A dummy functor that is evaluated with the paretoFront. More...
class  paretoFrontTester
 The Pareto Front Tester functor is a simple example of an evaluation framework using the Pareto Front class. More...
class  segmentationEvaluation
 Pareto evaluation of segmentation functors. More...

Typedefs

typedef tbox< int > box
typedef tpoint< int > point
typedef tpoint< int > ipoint
typedef tpoint< unsigned int > uipoint
typedef tpoint< double > dpoint
typedef tpoint< float > fpoint
typedef tpoint3D< int > point3D
typedef tpoint3D< int > ipoint3D
typedef tpoint3D< float > fpoint3D
typedef tpoint3D< double > dpoint3D
typedef trectangle< int > rectangle
typedef trectangle< int > irectangle
typedef trectangle< float > frectangle
typedef trectangle< double > drectangle
typedef trgbPixel< double > drgbPixel
typedef trgbPixel< float > frgbPixel
typedef trgbPixel< int > irgbPixel
typedef unsigned _LTI_BYTE ubyte
typedef signed _LTI_BYTE byte
typedef unsigned _LTI_WORD16 uint16
typedef signed _LTI_WORD16 int16
typedef unsigned _LTI_WORD32 uint32
typedef signed _LTI_WORD32 int32
typedef unsigned _LTI_WORD64 uint64
typedef signed _LTI_WORD64 int64
typedef float sreal
typedef double dreal
typedef hPoint2D< double > dhPoint2D
typedef hPoint3D< double > dhPoint3D
typedef hMatrix2D< double > dhMatrix2D
typedef hMatrix2D< float > fhMatrix2D
typedef hMatrix3D< double > dhMatrix3D
typedef hMatrix3D< float > fhMatrix3D
typedef vector< rgbPixel > palette
typedef kernel1D< int > ikernel1D
typedef kernel1D< float > fkernel1D
typedef kernel1D< double > dkernel1D
typedef kernel1D< ubyte > bkernel1D
typedef kernel2D< int > ikernel2D
typedef kernel2D< float > fkernel2D
typedef kernel2D< double > dkernel2D
typedef kernel2D< ubyte > bkernel2D
typedef sepKernel< int > isepKernel
typedef sepKernel< float > fsepKernel
typedef sepKernel< double > dsepKernel
typedef sepKernel< ubyte > bsepKernel
typedef tpointList< int > pointList
typedef regionGraphColor
< regionGraphColorMeanDistance > 		regionGraphColorMeans
typedef regionGraphColor
< regionGraphColorHarisDistance > 		regionGraphColorHaris
typedef regionGraphGray
< regionGraphScalarMeanDistance > 		regionGraphGrayMeans
typedef regionGraphGray
< regionGraphScalarHarisDistance > 		regionGraphGrayHaris
typedef tfastLine< int > fastLine
typedef tfastLine< double > dfastLine
typedef tfastLine< float > ffastLine
typedef tline< int > line
typedef tline< double > dline
typedef tline< float > fline
typedef matrix< double > dmatrix
typedef matrix< float > fmatrix
typedef matrix< int > imatrix
typedef vector< double > dvector
typedef vector< float > fvector
typedef vector< int32 > ivector
typedef _LTI_F2C_INTEGER integer

Enumerations

enum  eNormType { L1distance, L2distance }
enum  eInterpolatorType { NearestNeighborInterpolator, BilinearInterpolator, BiquadraticInterpolator, BicubicInterpolator }
enum  eKernelType { Default, Asymmetric, Symmetric }
enum  ePointSetNormalizationType { IsotropicNormalization, NoPointSetNormalization }
enum  eRobustEstimatorType { RansacEstimator, NoRobustEstimator }
enum  eTransformEstimatorType {
  Homography8DofEstimator, Homography9DofEstimator, AffineEstimator, SimilarityEstimator,
  NoTransformEstimator
}
enum  eBoundaryType {
  Zero, Mirror, Periodic, Constant,
  NoBoundary
}

Functions

template<class T , class S >
bool read (ioHandler &handler, tbox< T, S > &p, const bool complete=true)
template<class T , class S >
bool write (ioHandler &handler, const tbox< T, S > &p, const bool complete=true)
bool read (ioHandler &handler, cmykColor &p, const bool complete=true)
bool write (ioHandler &handler, const cmykColor &p, const bool complete=true)
bool write (ioHandler &handler, const functor::parameters &p, const bool complete=true)
bool read (ioHandler &handler, functor::parameters &p, const bool complete=true)
bool write (ioHandler &handler, const functor &p, const bool complete=true)
bool read (ioHandler &handler, functor &p, const bool complete=true)
template<class T >
bool read (ioHandler &handler, tpoint< T > &p, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const tpoint< T > &p, const bool complete=true)
template<class T >
bool read (ioHandler &handler, tpoint3D< T > &p, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const tpoint3D< T > &p, const bool complete=true)
template<class T , class S >
bool read (ioHandler &handler, trectangle< T, S > &p, const bool complete=true)
template<class T , class S >
bool write (ioHandler &handler, const trectangle< T, S > &p, const bool complete=true)
bool read (ioHandler &handler, rgbPixel &p, const bool=true)
bool write (ioHandler &handler, const rgbPixel &p, const bool=true)
template<class T >
bool read (ioHandler &handler, trgbPixel< T > &p, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const trgbPixel< T > &p, const bool complete=true)
bool write (ioHandler &handler, const classifier::parameters &p, const bool complete=true)
bool read (ioHandler &handler, classifier::parameters &p, const bool complete=true)
bool write (ioHandler &handler, const classifier &p, const bool complete=true)
bool read (ioHandler &handler, classifier &p, const bool complete=true)
bool write (ioHandler &handler, const classifier::outputVector &p, const bool complete=true)
bool read (ioHandler &handler, classifier::outputVector &p, const bool complete=true)
bool write (ioHandler &handler, const classifier::outputTemplate &p, const bool complete=true)
bool read (ioHandler &handler, classifier::outputTemplate &p, const bool complete=true)
bool write (ioHandler &handler, const MLP::activationFunctor &p, const bool complete=true)
bool read (ioHandler &handler, MLP::activationFunctor &p, const bool complete=true)
bool read (ioHandler &handler, bayerDemosaicing::eBayerMethod &data)
bool write (ioHandler &handler, const bayerDemosaicing::eBayerMethod &data)
bool read (ioHandler &handler, bayerDemosaicing::eBayerPattern &data)
bool write (ioHandler &handler, const bayerDemosaicing::eBayerPattern &data)
bool write (ioHandler &handler, const blobEM::gaussEllipse &el, const bool complete=true)
bool read (ioHandler &handler, blobEM::gaussEllipse &el, const bool complete=true)
bool read (ioHandler &handler, chainCode &cc, const bool complete=true)
bool write (ioHandler &handler, const chainCode &cc, const bool complete=true)
bool write (ioHandler &handler, const draw3D< rgbPixel >::parameters &p, const bool complete=true)
bool read (ioHandler &handler, draw3D< rgbPixel >::parameters &p, const bool complete=true)
bool read (ioHandler &handler, graphicsPattern &plst, const bool complete=true)
bool write (ioHandler &handler, const graphicsPattern &plst, const bool complete=true)
template<class T , class P >
bool write (ioHandler &handler, const hMatrix< T, P > &mat, const bool complete=true)
template<class T , class P >
bool read (ioHandler &handler, hMatrix< T, P > &mat, const bool complete=true)
bool read (ioHandler &handler, eInterpolatorType &data)
bool write (ioHandler &handler, const eInterpolatorType &data)
bool read (ioHandler &handler, eKernelType &data)
bool write (ioHandler &handler, const eKernelType &data)
bool write (ioHandler &handler, const pointDistributionModel &p, const bool complete=true)
bool read (ioHandler &handler, pointDistributionModel &p, const bool complete=true)
template<class T >
bool read (ioHandler &handler, tpointList< T > &plst, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const tpointList< T > &plst, const bool complete=true)
bool read (ioHandler &handler, ePointSetNormalizationType &data)
bool write (ioHandler &handler, const ePointSetNormalizationType &data)
bool read (ioHandler &handler, eRobustEstimatorType &data)
bool write (ioHandler &handler, const eRobustEstimatorType &data)
bool read (ioHandler &handler, eTransformEstimatorType &data)
bool write (ioHandler &handler, const eTransformEstimatorType &data)
bool read (ioHandler &handler, fireWireDCAM::eFeatureState &data)
bool write (ioHandler &handler, const fireWireDCAM::eFeatureState &data)
template<class T >
bool write (ioHandler &handler, const std::string &name, const T &data, const bool complete=true)
template<class T >
bool read (ioHandler &handler, const std::string &name, T &data, const bool complete=true)
bool write (ioHandler &handler, const ioObject &p, const bool complete=true)
bool read (ioHandler &handler, ioObject &p, const bool complete=true)
template<class T , class U >
bool read (ioHandler &handler, std::pair< T, U > &data, const bool complete=true)
template<class T , class U >
bool write (ioHandler &handler, const std::pair< T, U > &data, const bool complete=true)
template<class T >
bool read (ioHandler &handler, std::list< T > &data, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const std::list< T > &data, const bool complete=true)
template<class T >
bool read (ioHandler &handler, std::vector< T > &data, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const std::vector< T > &data, const bool complete=true)
template<class T , class U >
bool read (ioHandler &handler, std::map< T, U > &data, const bool complete=true)
template<class T , class U >
bool write (ioHandler &handler, const std::map< T, U > &data, const bool complete=true)
template<class T , class U >
bool read (ioHandler &handler, std::multimap< T, U > &data, const bool complete=true)
template<class T , class U >
bool write (ioHandler &handler, const std::multimap< T, U > &data, const bool complete=true)
bool read (ioHandler &handler, eBoundaryType &data)
bool write (ioHandler &handler, const eBoundaryType &data)
template<class T >
bool read (ioHandler &handler, tfastLine< T > &l, const bool complete=true)
template<class T >
bool intersection (const tpoint< T > &p1, const tpoint< T > &p2, const tpoint< T > &p3, const tpoint< T > &p4, tpoint< T > &p)
template<class T >
bool intersection (const tpoint< T > &p1, const tpoint< T > &p2, const tpoint< T > &p3, const tpoint< T > &p4)
template<class T >
T minDistanceSqr (const tpoint< T > &p1, const tpoint< T > &p2, const tpoint< T > &p3, tpoint< T > &p)
template<class T >
T minDistanceSqr (const tpoint< T > &p1, const tpoint< T > &p2, const tpoint< T > &p3)
template<class T >
T minDistanceSqr (const tpoint< T > &p1, const tpoint< T > &p2, const tpoint< T > &p3, const tpoint< T > &p4, tpoint< T > &pa, tpoint< T > &pb)
template<class T >
int clockwiseTurn (const tpoint< T > &p0, const tpoint< T > &p1, const tpoint< T > &p2)
bool write (ioHandler &handler, const hiddenMarkovModel::singleDensity &p, const bool complete=true)
bool read (ioHandler &handler, hiddenMarkovModel::singleDensity &p, const bool complete=true)
bool write (ioHandler &handler, const hiddenMarkovModel &p, const bool complete=true)
bool read (ioHandler &handler, hiddenMarkovModel &p, const bool complete=true)
template<class T >
bool read (ioHandler &handler, thistogram< T > &hist, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const thistogram< T > &hist, const bool complete=true)
template<class T >
bool read (ioHandler &handler, tline< T > &l, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const tline< T > &l, const bool complete=true)
template<class T >
bool closeTo (const T &a, const T &b, const T epsilon=std::numeric_limits< T >::epsilon())
template<class T >
bool closeToZero (const T &a, const T epsilon=std::numeric_limits< T >::epsilon())
template<class T >
T round (T x)
template<class T >
int iround (T x)
template<class T >
long lround (T x)
template<class T , class F >
void condRoundCastTo (const F from, T &to)
template<class T >
void exchange (T &a, T &b)
template<class T >
T min (const T x, const T y)
template<class T >
T max (const T x, const T y)
template<class T >
T min (const T x, const T y, const T z)
template<class T >
T max (const T x, const T y, const T z)
template<class T >
void minmax (const T x, const T y, T &theMin, T &theMax)
template<class T >
void minmax (T &theMin, T &theMax)
template<class T >
T lnGamma (const T &x)
double factorial (const int x)
double lnFactorial (const int x)
double binomial (const int n, const int k)
double degToRad (const double &deg)
float degToRad (const float &deg)
double degToRad (const int &deg)
double radToDeg (const double &rad)
float radToDeg (const float &rad)
byte abs (byte x)
int abs (int x)
float abs (float x)
double abs (const double &x)
template<class T >
T absdiff (const T &x, const T &y)
double reciprocal (const double &x)
float reciprocal (const float &x)
double oneMinus (const double &x)
float oneMinus (const float &x)
int oneMinus (const int &x)
template<class T >
T rectify (const T &x)
template<class T >
T sqr (const T &x)
int sqrt (int x)
unsigned int sqrt (unsigned int x)
float sqrt (float x)
double sqrt (const double &x)
template<class T >
T sqrtrect (const T x)
template<class T >
void sincos (T angle, T &sval, T &cval)
float sigmoid (const float x)
double sigmoid (const double &x)
double sigmoid (const int x)
template<class T >
T signum (T x)
template<class T >
T signum0 (T x)
template<class T >
bool even (const T x)
template<class T >
bool odd (const T x)
template<class T >
T betai (const T &a, const T &b, const T &x)
double betacf (const double &a, const double &b, const double &x)
bool write (ioHandler &handler, const mathObject &mo, const bool complete=true)
bool read (ioHandler &handler, mathObject &mo, const bool complete=true)
void sincos_impl (double angle, double &sval, double &cval)
void sincosf_impl (float angle, float &sval, float &cval)
void passiveWait (const int &usTime)
bool write (ioHandler &handler, const viewerBase::parameters &p, const bool complete=true)
bool read (ioHandler &handler, viewerBase::parameters &p, const bool complete=true)
Color Constants.

These color constants are defined in the file ltiColors.h.

The six primary and secondary colors are defined in ltiTypes.h (which is also included in ltiColors.h!)

See also:
lti::Red,lti::Green,lti::Blue,lti::Cyan,lti::Magenta,lti::Yellow

Note that the color names are all own creations, they are not correlated to any official naming standards at all.



static const rgbColor DarkRed (127, 0, 0)
static const rgbColor DarkGreen (0, 127, 0)
static const rgbColor DarkBlue (0, 0, 127)
static const rgbColor DarkYellow (127, 127, 0)
static const rgbColor DarkCyan (0, 127, 127)
static const rgbColor DarkMagenta (127, 0, 127)
static const rgbColor BrightGreen (0, 255, 127)
static const rgbColor BrightBlue (0, 127, 255)
static const rgbColor BrightRed (255, 127, 64)
static const rgbColor BrightMagenta (255, 127, 255)
static const rgbColor BrightYellow (255, 255, 127)
static const rgbColor BrightCyan (127, 255, 255)
static const rgbColor DarkOrange (192, 64, 0)
static const rgbColor Fusia (255, 0, 127)
static const rgbColor Pink (255, 127, 127)
static const rgbColor LawnGreen (127, 255, 0)
static const rgbColor Lemon (127, 255, 127)
static const rgbColor LightBlue (0, 127, 255)
static const rgbColor DarkViolet (127, 0, 255)
static const rgbColor Violet (127, 127, 255)
rgbColor scale (const rgbColor &src, double f)
rgbColor darker (const rgbColor &src, double f=0.5)
rgbColor brighter (const rgbColor &src, double f=0.5)
rgbColor grey (int t)
rgbColor gray (int t)
rgbColor grey (double t)
rgbColor gray (double t)
static const rgbColor Grey100 (255, 255, 255)
static const rgbColor Grey75 (191, 191, 191)
static const rgbColor Grey50 (127, 127, 127)
static const rgbColor Grey25 (63, 63, 63)
static const rgbColor Grey0 (0, 0, 0)
Constants for the primary and secondary colors, as well as

black and white.



const rgbPixel Black (0, 0, 0, 0)
const rgbPixel Red (255, 0, 0, 0)
const rgbPixel Green (0, 255, 0, 0)
const rgbPixel Blue (0, 0, 255, 0)
const rgbPixel Yellow (255, 255, 0, 0)
const rgbPixel Magenta (255, 0, 255, 0)
const rgbPixel Cyan (0, 255, 255, 0)
const rgbPixel White (255, 255, 255, 0)
Storable interface for classifiere classes

Members for the storable interface



bool read (ioHandler &handler, stdLayer &p, const bool complete=true)
bool write (ioHandler &handler, const stdLayer &p, const bool complete=true)
Storable interface for points

Members for the storable interface



template<class T >
bool read (ioHandler &handler, hPoint2D< T > &p, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const hPoint2D< T > &p, const bool complete=true)
template<class T >
bool read (ioHandler &handler, hPoint3D< T > &p, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const hPoint3D< T > &p, const bool complete=true)



bool read (ioHandler &handler, std::string &data)
bool read (ioHandler &handler, double &data)
bool read (ioHandler &handler, float &data)
bool read (ioHandler &handler, int &data)
bool read (ioHandler &handler, unsigned int &data)
bool read (ioHandler &handler, char &data)
bool read (ioHandler &handler, byte &data)
bool read (ioHandler &handler, ubyte &data)
bool read (ioHandler &handler, bool &data)
bool read (ioHandler &handler, long &data)
bool read (ioHandler &handler, unsigned long &data)
bool read (ioHandler &handler, short &data)
bool read (ioHandler &handler, unsigned short &data)
bool write (ioHandler &handler, const std::string &data)
bool write (ioHandler &handler, const char *data)
bool write (ioHandler &handler, const double &data)
bool write (ioHandler &handler, const float &data)
bool write (ioHandler &handler, const int &data)
bool write (ioHandler &handler, const unsigned int &data)
bool write (ioHandler &handler, const char &data)
bool write (ioHandler &handler, const byte &data)
bool write (ioHandler &handler, const ubyte &data)
bool write (ioHandler &handler, const bool &data)
bool write (ioHandler &handler, const long &data)
bool write (ioHandler &handler, const unsigned long &data)
bool write (ioHandler &handler, const short &data)
bool write (ioHandler &handler, const unsigned short &data)
operators for complex numbers



template<typename T >
complex< T > operator+ (const complex< T > &a, const complex< T > &b)
template<typename T >
complex< T > operator+ (const complex< T > &a, const T &b)
template<typename T >
complex< T > operator+ (const T &a, const complex< T > &b)
template<typename T >
complex< T > operator- (const complex< T > &a, const complex< T > &b)
template<typename T >
complex< T > operator- (const complex< T > &a, const T &b)
template<typename T >
complex< T > operator- (const T &a, const complex< T > &b)
template<typename T >
complex< T > operator* (const complex< T > &a, const complex< T > &b)
template<typename T >
complex< T > operator* (const complex< T > &a, const T &b)
template<typename T >
complex< T > operator* (const T &a, const complex< T > &b)
template<typename T >
complex< T > operator/ (const complex< T > &a, const complex< T > &b)
template<typename T >
complex< T > operator/ (const complex< T > &a, const T &b)
template<typename T >
complex< T > operator/ (const T &a, const complex< T > &b)
template<typename T >
complex< T > operator+ (const complex< T > &a)
template<typename T >
complex< T > operator- (const complex< T > &a)
template<typename T >
bool operator== (const complex< T > &a, const complex< T > &b)
template<typename T >
bool operator== (const complex< T > &a, const T &b)
template<typename T >
bool operator== (const T &a, const complex< T > &b)
template<typename T >
bool operator!= (const complex< T > &a, const complex< T > &b)
template<typename T >
bool operator!= (const complex< T > &a, const T &b)
template<typename T >
bool operator!= (const T &a, const complex< T > &b)
template<typename T >
bool operator< (const complex< T > &a, const complex< T > &b)
template<typename T >
bool operator< (const complex< T > &a, const T &b)
template<typename T >
bool operator< (const T &a, const complex< T > &b)
template<typename T >
bool operator> (const complex< T > &a, const complex< T > &b)
template<typename T >
bool operator> (const complex< T > &a, const T &b)
template<typename T >
bool operator> (const T &a, const complex< T > &b)
template<typename T >
T real (const complex< T > &cn)
template<typename T >
T imag (const complex< T > &cn)
template<typename T >
T abs (const complex< T > &cn)
template<typename T >
T arg (const complex< T > &cn)
template<typename T >
T norm (const complex< T > &cn)
template<typename T >
complex< T > polar (const T &radius, const T &angle)
template<typename T >
complex< T > conj (const complex< T > &cn)
template<typename T >
complex< T > cos (const complex< T > &cn)
template<typename T >
complex< T > cosh (const complex< T > &cn)
template<typename T >
complex< T > acos (const complex< T > &cn)
template<typename T >
complex< T > exp (const complex< T > &cn)
template<typename T >
complex< T > log (const complex< T > &cn)
template<typename T >
complex< T > log10 (const complex< T > &cn)
template<typename T >
complex< T > sin (const complex< T > &cn)
template<typename T >
complex< T > sinh (const complex< T > &cn)
template<typename T >
complex< T > asin (const complex< T > &cn)
template<typename T >
complex< T > sqrt (const complex< T > &cn)
template<typename T >
complex< T > cbrt (const complex< T > &cn)
template<typename T >
complex< T > cubeRoot (const complex< T > &cn)
template<typename T >
complex< T > tan (const complex< T > &cn)
template<typename T >
complex< T > tanh (const complex< T > &cn)
template<typename T >
complex< T > atan (const complex< T > &cn)
template<typename T >
complex< T > pow (const complex< T > &a, const T &b)
template<typename T >
complex< T > pow (const complex< T > &a, const complex< T > &b)
template<typename T >
complex< T > pow (const T &a, const complex< T > &b)
template<typename T >
bool read (ioHandler &handler, complex< T > &p, const bool complete=true)
template<typename T >
bool write (ioHandler &handler, const complex< T > &p, const bool complete=true)
City Block Distances Functions.

Global functions to compute the L1 distance between two n-dimensional point representations



template<class T >
distanceType< T >::distance_type cityBlockDistance (const vector< T > &a, const vector< T > &b)
template<class T >
distanceType< T >::distance_type cityBlockDistance (const matrix< T > &a, const matrix< T > &b)
template<class T >
distanceType< T >::distance_type cityBlockDistance (const std::vector< T > &a, const std::vector< T > &b)
template<class T >
distanceType< T >::distance_type cityBlockDistance (const tpoint< T > &a, const tpoint< T > &b)
template<class T >
distanceType< T >::distance_type cityBlockDistance (const tpoint3D< T > &a, const tpoint3D< T > &b)
template<class T >
distanceType< T >::distance_type cityBlockDistance (const trgbPixel< T > &a, const trgbPixel< T > &b)
distanceType< rgbPixel >
::distance_type 		cityBlockDistance (const rgbPixel &a, const rgbPixel &b)
Square of Euclidian Distances Functions.

Global functions to compute the distance between two n-dimensional point representations



template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const vector< T > &a, const vector< T > &b)
template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const matrix< T > &a, const matrix< T > &b)
template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const std::vector< T > &a, const std::vector< T > &b)
template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const tpoint< T > &a, const tpoint< T > &b)
template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const tpoint3D< T > &a, const tpoint3D< T > &b)
template<class T >
distanceType< T >
::square_distance_type 		distanceSqr (const trgbPixel< T > &a, const trgbPixel< T > &b)
distanceType< rgbPixel >
::square_distance_type 		distanceSqr (const rgbPixel &a, const rgbPixel &b)
Storable interface

Members for the storable interface



template<class T >
bool read (ioHandler &handler, sequence< T > &seq, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const sequence< T > &seq, const bool complete=true)
template<class T >
bool read (ioHandler &handler, tensor< T > &hist, const bool complete=true)
template<class T >
bool write (ioHandler &handler, const tensor< T > &hist, const bool complete=true)

Variables

const palette emptyPalette
const double Pi = 3.1415926535897932
const double NaN = log(-1.0)
const double Inf = tan(Pi/2.0)

Detailed Description

namespace lti

Typedef Documentation

typedef kernel1D<ubyte> lti::bkernel1D

one dimensional kernel of unsigned bytes

typedef kernel2D<ubyte> lti::bkernel2D

two dimensional kernel of bkernel

typedef tbox<int> lti::box

A box with integer coordinates.

typedef sepKernel<ubyte> lti::bsepKernel

separable kernel of unsigned bytes

typedef signed _LTI_BYTE lti::byte

8-bit signed type (-128..127)

typedef tfastLine<double> lti::dfastLine

A line with double coordinates.

typedef hMatrix2D<double> lti::dhMatrix2D

homogeneous transformation matrix for 2D homogeneous points of type double

typedef hMatrix3D<double> lti::dhMatrix3D

homogeneous transformation matrix for 3D homogeneous points of type double

typedef hPoint2D<double> lti::dhPoint2D

A point with double coordinates.

typedef hPoint3D<double> lti::dhPoint3D

A point with double coordinates.

typedef kernel1D<double> lti::dkernel1D

one dimensional kernel of doubles

typedef kernel2D<double> lti::dkernel2D

two dimensional kernel of doubles

typedef tline<double> lti::dline

A line with double coordinates.

typedef matrix<double> lti::dmatrix

Matrix of double.

typedef tpoint<double> lti::dpoint

A point with double coordinates.

typedef tpoint3D<double> lti::dpoint3D

A three dimensional point with double coordinates.

typedef double lti::dreal

64-bit floating point type

typedef trectangle<double> lti::drectangle

A rectangle with double coordinates.

Deprecated:
Please use irectangle instead.
typedef trgbPixel<double> lti::drgbPixel

alias for trbgPixel<double>

typedef sepKernel<double> lti::dsepKernel

separable kernel of doubles

typedef vector<double> lti::dvector

Vector of double.

typedef tfastLine<int> lti::fastLine

A line with integer coordinates.

typedef tfastLine<float> lti::ffastLine

A line with float coordinates.

typedef hMatrix2D<float> lti::fhMatrix2D

homogeneous transformation matrix for 2D homogeneous points of type float

typedef hMatrix3D<float> lti::fhMatrix3D

homogeneous transformation matrix for 3D homogeneous points of type float

typedef kernel1D<float> lti::fkernel1D

one dimensional kernel of floats

typedef kernel2D<float> lti::fkernel2D

two dimensional kernel of floats

typedef tline<float> lti::fline

A line with float coordinates.

typedef matrix<float> lti::fmatrix

Matrix of float.

typedef tpoint<float> lti::fpoint

A point with float coordinates.

typedef tpoint3D<float> lti::fpoint3D

A three dimensional point with integer coordinates.

typedef trectangle<float> lti::frectangle

A rectangle with float coordinates.

Deprecated:
Please use irectangle instead.
typedef trgbPixel<float> lti::frgbPixel

alias for trgbPixel<float>

typedef sepKernel<float> lti::fsepKernel

separable kernel of floats

typedef vector<float> lti::fvector

Vector of float.

typedef kernel1D<int> lti::ikernel1D

one dimensional kernel of integers

typedef kernel2D<int> lti::ikernel2D

two dimensional kernel of integers

typedef matrix<int> lti::imatrix

Matrix of integer.

typedef signed _LTI_WORD16 lti::int16

16-bit signed type (-32768..32767)

typedef signed _LTI_WORD32 lti::int32

32-bit signed type (-(2^31).

.(2^31-1))

typedef signed _LTI_WORD64 lti::int64

64-bit signed type (-(2^63).

.(2^63-1))

typedef _LTI_F2C_INTEGER lti::integer

Type of the interger type used in f2c.h.

Use this type for all integer types connected with LAPACK except error codes.

typedef tpoint<int> lti::ipoint

A point with integer coordinates.

typedef tpoint3D<int> lti::ipoint3D

A three dimensional point with integer coordinates.

typedef trectangle<int> lti::irectangle

A rectangle with integer coordinates.

Deprecated:
Please use irectangle instead.
typedef trgbPixel<int> lti::irgbPixel

alias for trgbPixel<int>

typedef sepKernel<int> lti::isepKernel

separable kernel of integers

typedef vector<int32> lti::ivector

Vector of integer.

typedef tline<int> lti::line

A line with integer coordinates.

typedef vector<rgbPixel> lti::palette

Vector of rgbPixel: used as a color palette.

typedef tpoint<int> lti::point

A point with integer coordinates.

Deprecated:
Please use ipoint instead.
typedef tpoint3D<int> lti::point3D

A three dimensional point with integer coordinates.

Deprecated:
Please use ipoint3D instead
typedef tpointList<int> lti::pointList

pointList is a list of points with integer coordinates

typedef trectangle<int> lti::rectangle

A rectangle with integer coordinates.

Deprecated:
Please use irectangle instead.
typedef regionGraphColor<regionGraphColorHarisDistance> lti::regionGraphColorHaris

Alias for graph representation with weighted mean value distances.

typedef regionGraphColor<regionGraphColorMeanDistance> lti::regionGraphColorMeans

Alias for graph representation with plain mean value distances.

typedef regionGraphGray<regionGraphScalarHarisDistance> lti::regionGraphGrayHaris

Alias for graph representation with weighted mean value distances.

typedef regionGraphGray<regionGraphScalarMeanDistance> lti::regionGraphGrayMeans

Alias for graph representation with plain mean value distances.

typedef float lti::sreal

32-bit floating point type

typedef unsigned _LTI_BYTE lti::ubyte

8-bit unsigned type (0..255)

typedef unsigned _LTI_WORD16 lti::uint16

16-bit unsigned type (0..65535)

typedef unsigned _LTI_WORD32 lti::uint32

32-bit unsigned type (0.

.(2^32)-1)

typedef unsigned _LTI_WORD64 lti::uint64

64-bit unsigned type (0.

.(2^64)-1)

typedef tpoint<unsigned int> lti::uipoint

A point with unsigned integer coordinates.

Enumeration Type Documentation

enum lti::eBoundaryType

boundary condition type.

This type indicates how to consider/interpret the boundaries of an image.

For this type the methods read(ioHandler&, eBoundaryType&) and write(ioHandler&, const eBoundaryType&) are implemented. Note that template functions read(ioHandler&, const std::string&, T&) and write(ioHandler&, const std::string&, const T&) exist. (see Developer's Guide for further information).

Enumerator:
Zero 

The boundary does not exist (only 0-value).

Mirror 

The signal/image/vector is mirrored.

Periodic 

A periodic continuation of the signal is assumed.

Constant 

The last value of the border will be assumed.

NoBoundary 

The boundary will be ignored.

The effect is an unitialized border in those parts of the vector, matrix or image, where a complete filter kernel cannot be applied due to its size. Please note that the border will be left UNinitialized. It is up to you to set some value at these border, which will have a maximum height or width of the size of the filter kernel minus one. The reason for this option to exist is that some algorithms will ignore this border anyway and all other border types will spend some time calculating it

enum lti::eInterpolatorType

Interpolation Type.

This type is used to indicate how sub-pixel position should be computed.

Enumerator:
NearestNeighborInterpolator 

Nearest Neighbor Interpolator.

BilinearInterpolator 

Bilinear Interpolator.

BiquadraticInterpolator 

Biquadratic Taps Interpolator.

BicubicInterpolator 

Bicubic Interpolator.

enum lti::eKernelType

kernel type.

This type indicates what kind of symmetry a kernel owns.

For this type the methods read(ioHandler&, eKernelType&) and write(ioHandler&, const eKernelType&) are implemented. Note that template functions read(ioHandler&, const std::string&, T&) and write(ioHandler&, const std::string&, const T&) exist. (see Developer's Guide for further information).

Enumerator:
Default 

There are no known symmetries found.

Asymmetric 

Left part of kernel has negativ value of right part.

Symmetric 

Left part of kernel is equal to right part.

enum lti::eNormType

used for flags indicating usage of L1 or L2 norm for propagation

Enumerator:
L1distance 

L1-norm (sum of the absolut values)

L2distance 

L2-norm (square root of the sum of the squares)

enum lti::ePointSetNormalizationType

PointSet Normalization Type.

This type is used to indicate how point sets shall be normalized or if they are normalized at all.

Enumerator:
IsotropicNormalization 

pointSetNormalization in an isotropic manner

NoPointSetNormalization 

no pointSetNormalization specified

enum lti::eRobustEstimatorType

Robust Estimator Type.

Enumerator:
RansacEstimator 

robustEstimator with RANSAC

NoRobustEstimator 

no robustEstimator specified

enum lti::eTransformEstimatorType

Transform Estimator Type.

This type is used to indicate which transform shall be estimated.

Enumerator:
Homography8DofEstimator 

transformEstimator for homography with 8 DOF

Homography9DofEstimator 

transformEstimator for homography with 9 DOF

AffineEstimator 

transformEstimator for affine transformations

SimilarityEstimator 

transformEstimator for similarity transformations

NoTransformEstimator 

no transformEstimator specified

Function Documentation

template<typename T >
T lti::abs ( const complex< T > &  cn  )  [inline]

get the absolute value of a complex number

References lti::complex< T >::imag(), max(), lti::complex< T >::real(), and sqrt().

Referenced by abs(), lti::l1Distantor< T, D >::accumulate(), cbrt(), cityBlockDistance(), lti::l2Distantor< T, D >::component(), lti::l1Distantor< T, D >::component(), lti::trectangle< T >::getArea(), lti::tline< T >::getIntersectionPoint(), lti::tline< T >::getIntersectionPointXPol(), lti::tbox< T, S >::getVolume(), log(), lti::draw3D< T >::parameters::setCamera(), lti::trectangle< T >::setCenter(), lti::tbox< T, S >::setCenter(), lti::regionGrowing::similar(), and sqrt().

template<typename T >
complex<T> lti::acos ( const complex< T > &  cn  )  [inline]

add two complex numbers

References lti::complex< T >::imag(), log(), lti::complex< T >::real(), and sqrt().

Referenced by lti::draw3D< T >::parameters::setCamera().

template<typename T >
T lti::arg ( const complex< T > &  cn  )  [inline]

get the argument (angle or phase) of a complex number

References lti::complex< T >::imag(), and lti::complex< T >::real().

Referenced by cbrt(), and log().

template<typename T >
complex<T> lti::asin ( const complex< T > &  cn  )  [inline]

add two complex numbers

References lti::complex< T >::imag(), log(), lti::complex< T >::real(), and sqrt().

template<typename T >
complex<T> lti::atan ( const complex< T > &  cn  )  [inline]

hyperbolic arc tangent of a complex number

References lti::complex< T >::imag(), log(), and lti::complex< T >::real().

double lti::betacf ( const double &  a,
const double &  b,
const double &  x 
)

Compute the coefficients required for the incomplete beta function.

Internally we compute with double precision.

const rgbPixel lti::Black ( 0  ,
0  ,
0  ,
0   
)

constant for the color black.

const rgbPixel lti::Blue ( 0  ,
0  ,
255  ,
0   
)

constant for the color blue.

static const rgbColor lti::BrightBlue ( 0  ,
127  ,
255   
) [static]

constant for a kind of bright green.

static const rgbColor lti::BrightCyan ( 127  ,
255  ,
255   
) [static]

constant for some kind of bright cyan.

rgbColor lti::brighter ( const rgbColor &  src,
double  f = 0.5 
) [inline]

Function for brightening a color.

Parameters:
src rgbColor of the original color
f factor which tells how much darker the new color should be. Example: 0.2 means: Make the color 20% brighter. 0 means: leave the original, 1.0 means: make it twice as bright. Warning: Saturation effects might lead to strange results.
Returns:
rgbColor where R, G and B have the given value t.

References scale().

static const rgbColor lti::BrightGreen ( 0  ,
255  ,
127   
) [static]

constant for a kind of bright green.

static const rgbColor lti::BrightMagenta ( 255  ,
127  ,
255   
) [static]

constant for some kind of bright magenta.

static const rgbColor lti::BrightRed ( 255  ,
127  ,
64   
) [static]

constant for a kind of bright red.

static const rgbColor lti::BrightYellow ( 255  ,
255  ,
127   
) [static]

constant for some kind of bright yellow.

template<typename T >
complex<T> lti::cbrt ( const complex< T > &  cn  )  [inline]

cube root of a complex number

A there are always two solutions for sqrt(x+iy), this method provides the first one consisting in sqrt(m*e^(i*a))=sqrt(m)*e^(i*a/2)

References abs(), arg(), polar(), and pow().

Referenced by cubeRoot().

distanceType<rgbPixel>::distance_type lti::cityBlockDistance ( const rgbPixel &  a,
const rgbPixel &  b 
) [inline]

cityBlockDistance computes the L1 distance between the RGB values a and b in the RGB color space.

References abs(), lti::rgbPixel::getBlue(), lti::rgbPixel::getGreen(), and lti::rgbPixel::getRed().

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const trgbPixel< T > &  a,
const trgbPixel< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the RGB values a and b in the RGB color space.

References abs(), lti::trgbPixel< T >::getBlue(), lti::trgbPixel< T >::getGreen(), and lti::trgbPixel< T >::getRed().

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const tpoint3D< T > &  a,
const tpoint3D< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the points a and b.

References abs(), lti::tpoint3D< T >::x, lti::tpoint3D< T >::y, and lti::tpoint3D< T >::z.

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const tpoint< T > &  a,
const tpoint< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the points a and b.

References abs(), lti::tpoint< T >::x, and lti::tpoint< T >::y.

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const std::vector< T > &  a,
const std::vector< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the std::vectors a and b.

References abs().

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const matrix< T > &  a,
const matrix< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the lti::matrix a and b.

References abs(), lti::genericMatrix< T >::begin(), lti::genericMatrix< T >::end(), and lti::genericMatrix< T >::size().

template<class T >
distanceType<T>::distance_type lti::cityBlockDistance ( const vector< T > &  a,
const vector< T > &  b 
) [inline]

cityBlockDistance computes the L1 distance between the lti::vectors a and b.

References abs(), lti::genericVector< T >::begin(), lti::genericVector< T >::end(), and lti::genericVector< T >::size().

Referenced by lti::l1Distantor< T, D >::operator()().

template<class T , class F >
void lti::condRoundCastTo ( const F  from,
T &  to 
) [inline]

Conditional rounding with cast.

Template function that rounds only if the desired output type is an integer type. Otherwise, just a static cast will be done.

It would be nice to have this in a static_cast or dynamic_cast similar syntax, but, as usuall, Visual C++ do not support ANSI C++ template as it should (the bug that make this imposible is documented as Q240871)

Usage: T a; condRoundCastTo(from,to)

Parameters:
from original data with type F
to destination data, will contain from rounded if it is of a floating point type and T is an integer type. Otherwise the types will just be casted.

Referenced by lti::tline< T >::getIntersectionPoint(), lti::tline< T >::getIntersectionPointXPol(), and lti::geometricTransform::transf().

template<typename T >
complex<T> lti::conj ( const complex< T > &  cn  )  [inline]

return the conjugate of the complex number

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
complex<T> lti::cos ( const complex< T > &  cn  )  [inline]

cosine of a complex number

References cosh(), lti::complex< T >::imag(), lti::complex< T >::real(), sin(), and sinh().

Referenced by cosh(), polar(), sin(), sinh(), and tan().

template<typename T >
complex<T> lti::cosh ( const complex< T > &  cn  )  [inline]

hyperbolic cosine of a complex number

References cos(), lti::complex< T >::imag(), lti::complex< T >::real(), sin(), and sinh().

Referenced by cos(), sin(), sinh(), and tanh().

template<typename T >
complex<T> lti::cubeRoot ( const complex< T > &  cn  )  [inline]

cube root of a complex number (alias for cbrt())

References cbrt().

const rgbPixel lti::Cyan ( 0  ,
255  ,
255  ,
0   
)

constant for the color cyan.

static const rgbColor lti::DarkBlue ( 0  ,
0  ,
127   
) [static]

Constant for dark blue.

static const rgbColor lti::DarkCyan ( 0  ,
127  ,
127   
) [static]

constant for some kind of dark cyan.

rgbColor lti::darker ( const rgbColor &  src,
double  f = 0.5 
) [inline]

Function for darkening a color.

Parameters:
src rgbColor of the original color
f factor which tells how much darker the new color should be. Example: 0.2 means: Make the color 20% darker. 0 means: leave the original, 1.0 means: make it black
Returns:
rgbColor where R, G and B have the given value t.

References scale().

static const rgbColor lti::DarkGreen ( 0  ,
127  ,
0   
) [static]

Constant for dark green.

static const rgbColor lti::DarkMagenta ( 127  ,
0  ,
127   
) [static]

constant for some kind of dark magenta.

static const rgbColor lti::DarkOrange ( 192  ,
64  ,
0   
) [static]

constant for the color orange.

static const rgbColor lti::DarkRed ( 127  ,
0  ,
0   
) [static]

Constant for dark red.

static const rgbColor lti::DarkViolet ( 127  ,
0  ,
255   
) [static]

constant for a light blue.

static const rgbColor lti::DarkYellow ( 127  ,
127  ,
0   
) [static]

constant for the color dark yellow

double lti::degToRad ( const int &  deg  )  [inline]

Convert the given angle in degrees to an angle in radians.

References Pi.

float lti::degToRad ( const float &  deg  )  [inline]

Convert the given angle in degrees to an angle in radians.

References Pi.

double lti::degToRad ( const double &  deg  )  [inline]

Convert the given angle in degrees to an angle in radians.

References Pi.

distanceType<rgbPixel>::square_distance_type lti::distanceSqr ( const rgbPixel &  a,
const rgbPixel &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the RGB values a and b in the RGB color space.

References lti::rgbPixel::distanceSqr().

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const trgbPixel< T > &  a,
const trgbPixel< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the RGB values a and b in the RGB color space.

References lti::trgbPixel< T >::distanceSqr().

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const tpoint3D< T > &  a,
const tpoint3D< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the points a and b.

References lti::tpoint3D< T >::distanceSqr().

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const tpoint< T > &  a,
const tpoint< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the points a and b.

References lti::tpoint< T >::distanceSqr().

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const std::vector< T > &  a,
const std::vector< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the std::vectors a and b.

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const matrix< T > &  a,
const matrix< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the lti::matrix a and b.

References lti::genericMatrix< T >::begin(), lti::genericMatrix< T >::end(), and lti::genericMatrix< T >::size().

template<class T >
distanceType<T>::square_distance_type lti::distanceSqr ( const vector< T > &  a,
const vector< T > &  b 
) [inline]

distanceSqr computes the square of the euclidian distance between the lti::vectors a and b.

References lti::genericVector< T >::begin(), lti::genericVector< T >::end(), and lti::genericVector< T >::size().

Referenced by lti::l2Distantor< T, D >::operator()(), and lti::l2SquareDistantor< rgbPixel >::operator()().

template<typename T >
complex<T> lti::exp ( const complex< T > &  cn  )  [inline]

exponetial of a complex number

References lti::complex< T >::imag(), polar(), and lti::complex< T >::real().

Referenced by lti::MLP::sigmoidFunctor::apply(), lti::MLP::sigmoidFunctor::deriv(), pow(), and sigmoid().

static const rgbColor lti::Fusia ( 255  ,
0  ,
127   
) [static]

constant for the color fusia.

rgbColor lti::gray ( double  t  )  [inline]

function for returning a gray value.

Parameters:
t grey value must be between 0 and 1
Returns:
rgbColor where R, G and B have the given value t*255.
rgbColor lti::gray ( int  t  )  [inline]

function for returning a gray value.

Parameters:
t grey value must be between 0 and 255
Returns:
rgbColor where R, G and B have the given value t.
const rgbPixel lti::Green ( 0  ,
255  ,
0  ,
0   
)

constant for the color green.

rgbColor lti::grey ( double  t  )  [inline]

function for returning a grey value.

Parameters:
t grey value must be between 0 and 1
Returns:
rgbColor where R, G and B have the given value t*255.
rgbColor lti::grey ( int  t  )  [inline]

function for returning a grey value.

Parameters:
t grey value must be between 0 and 255
Returns:
rgbColor where R, G and B have the given value t.
static const rgbColor lti::Grey0 ( 0  ,
0  ,
0   
) [static]

Definition for a 0% bright grey, i.e.

Black

static const rgbColor lti::Grey100 ( 255  ,
255  ,
255   
) [static]

Definition for a 100% bright grey, i.e.

White

static const rgbColor lti::Grey25 ( 63  ,
63  ,
63   
) [static]

Definition for a 25% bright grey, i.e.

dark grey

static const rgbColor lti::Grey50 ( 127  ,
127  ,
127   
) [static]

Definition for a 50% bright grey, i.e.

medium grey

static const rgbColor lti::Grey75 ( 191  ,
191  ,
191   
) [static]

Definition for a 75% bright grey, i.e.

bright grey

template<typename T >
T lti::imag ( const complex< T > &  cn  )  [inline]

get the imaginary part of a complex number

References lti::complex< T >::imag().

static const rgbColor lti::LawnGreen ( 127  ,
255  ,
0   
) [static]

constant for another kind of bright green.

static const rgbColor lti::Lemon ( 127  ,
255  ,
127   
) [static]

constant for some kind of lemon color

static const rgbColor lti::LightBlue ( 0  ,
127  ,
255   
) [static]

constant for a light blue.

template<typename T >
complex<T> lti::log ( const complex< T > &  cn  )  [inline]

natural logarithm of a complex number (base e)

References abs(), and arg().

Referenced by acos(), asin(), atan(), log10(), and pow().

template<typename T >
complex<T> lti::log10 ( const complex< T > &  cn  )  [inline]

logarithm base 10 of a complex number

References log().

const rgbPixel lti::Magenta ( 255  ,
0  ,
255  ,
0   
)

constant for the color magenta.

template<class T >
void lti::minmax ( T &  theMin,
T &  theMax 
) [inline]

Ensure that the minimum of the two given values is stored in theMin and the maximum in theMax.

References exchange().

template<class T >
void lti::minmax ( const T  x,
const T  y,
T &  theMin,
T &  theMax 
) [inline]

Store the minimum of x and y in theMin and the maximum in theMax.

template<typename T >
T lti::norm ( const complex< T > &  cn  )  [inline]

return the square magnitude of the given complex number

References lti::complex< T >::imag(), and lti::complex< T >::real().

Referenced by lti::complex< T >::operator/=().

int lti::oneMinus ( const int &  x  )  [inline]

Compute 1 minus the given value.

float lti::oneMinus ( const float &  x  )  [inline]

Compute 1 minus the given value.

This function is usually employed to revert a probability value

double lti::oneMinus ( const double &  x  )  [inline]

Compute 1 minus the given value.

This function is usually employed to revert a probability value

template<typename T >
bool lti::operator!= ( const T &  a,
const complex< T > &  b 
) [inline]

compare if a real number and a complex one differ

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator!= ( const complex< T > &  a,
const T &  b 
) [inline]

compare if a complex number and a real one differ

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator!= ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

compare if two complex numbers differ

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
complex<T> lti::operator* ( const T &  a,
const complex< T > &  b 
) [inline]

multiply a real number with a complex one

template<typename T >
complex<T> lti::operator* ( const complex< T > &  a,
const T &  b 
) [inline]

multiply a complex number with a real one

template<typename T >
complex<T> lti::operator* ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

multiply two complex numbers

template<typename T >
complex<T> lti::operator+ ( const complex< T > &  a  )  [inline]

plus sign a complex number

template<typename T >
complex<T> lti::operator+ ( const T &  a,
const complex< T > &  b 
) [inline]

add a real number with a complex number

template<typename T >
complex<T> lti::operator+ ( const complex< T > &  a,
const T &  b 
) [inline]

add a complex number with a real number

template<typename T >
complex<T> lti::operator+ ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

add two complex numbers

template<typename T >
complex<T> lti::operator- ( const complex< T > &  a  )  [inline]

minus sign a complex number

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
complex<T> lti::operator- ( const T &  a,
const complex< T > &  b 
) [inline]

subtract a complex number from a real one

template<typename T >
complex<T> lti::operator- ( const complex< T > &  a,
const T &  b 
) [inline]

subtract a real number from a complex one

template<typename T >
complex<T> lti::operator- ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

subtract two complex numbers

template<typename T >
complex<T> lti::operator/ ( const T &  a,
const complex< T > &  b 
) [inline]

divide a real number by a complex one

template<typename T >
complex<T> lti::operator/ ( const complex< T > &  a,
const T &  b 
) [inline]

divide a complex number by a real one

template<typename T >
complex<T> lti::operator/ ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

divide two complex numbers

template<typename T >
bool lti::operator< ( const T &  a,
const complex< T > &  b 
) [inline]

a complex number is "less than" another one if its real part is smaller, or when both real parts are identical, if its imaginary part is smaller

template<typename T >
bool lti::operator< ( const complex< T > &  a,
const T &  b 
) [inline]

a complex number is "less than" another one if its real part is smaller, or when both real parts are identical, if its imaginary part is smaller

template<typename T >
bool lti::operator< ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

a complex number is "less than" another one if its real part is smaller, or when both real parts are identical, if its imaginary part is smaller

template<typename T >
bool lti::operator== ( const T &  a,
const complex< T > &  b 
) [inline]

compare if a real number and a complex number are the same

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator== ( const complex< T > &  a,
const T &  b 
) [inline]

compare if two complex numbers differ

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator== ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

compare if two complex numbers are equal

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator> ( const T &  a,
const complex< T > &  b 
) [inline]

a complex number is "greater than" another one if its real part is greater, or when both real parts are identical, if its imaginary part is greater

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator> ( const complex< T > &  a,
const T &  b 
) [inline]

a complex number is "greater than" another one if its real part is greater, or when both real parts are identical, if its imaginary part is greater

References lti::complex< T >::imag(), and lti::complex< T >::real().

template<typename T >
bool lti::operator> ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

a complex number is "greater than" another one if its real part is greater, or when both real parts are identical, if its imaginary part is greater

References lti::complex< T >::imag(), and lti::complex< T >::real().

void lti::passiveWait ( const int &  usTime  ) 

This global function is a replacement in the lti namespace for the sleep and Sleep functions of Windows and Unix.

To avoid misunderstanding the name has been changed to passiveWait. The time must always be given in microseconds, although the real precision will be determined by the operating system. (Windows uses milliseconds and Unixes a few microseconds, depending on the implementation of usleep.

Parameters:
usTime number of microseconds to wait
static const rgbColor lti::Pink ( 255  ,
127  ,
127   
) [static]

constant for the color pink.

template<typename T >
complex<T> lti::polar ( const T &  radius,
const T &  angle 
) [inline]

convert the given polar values into a complex number

Parameters:
radius magnitude of the number
angle angle of the number
Returns:
Equivalent complex number to the polar one

References cos(), and sin().

Referenced by cbrt(), and exp().

template<typename T >
complex<T> lti::pow ( const T &  a,
const complex< T > &  b 
) [inline]

real number to the power of b, with complex

References exp(), and log().

template<typename T >
complex<T> lti::pow ( const complex< T > &  a,
const complex< T > &  b 
) [inline]

complex number to the power of b, with complex

References exp(), and log().

template<typename T >
complex<T> lti::pow ( const complex< T > &  a,
const T &  b 
) [inline]

complex number to the power of b, with real

References exp(), and log().

Referenced by cbrt().

float lti::radToDeg ( const float &  rad  )  [inline]

Convert the given angle in radians to an angle in degrees.

References Pi.

double lti::radToDeg ( const double &  rad  )  [inline]

Convert the given angle in radians to an angle in degrees.

References Pi.

template<class T >
bool lti::read ( ioHandler &  handler,
tensor< T > &  hist,
const bool  complete = true 
) [inline]

read the matrix from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be read

References lti::tensor< T >::read().

template<class T >
bool lti::read ( ioHandler &  handler,
sequence< T > &  seq,
const bool  complete = true 
) [inline]

read the sequence from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be readed

References lti::sequence< T >::read().

bool lti::read ( ioHandler &  handler,
mathObject &  mo,
const bool  complete = true 
)

read the mathObject from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
hiddenMarkovModel &  p,
const bool  complete = true 
)

read hidden markov model

bool lti::read ( ioHandler &  handler,
hiddenMarkovModel::singleDensity &  p,
const bool  complete = true 
)

read single density

template<class T >
bool lti::read ( ioHandler &  handler,
const std::string &  name,
T &  data,
const bool  complete = true 
) [inline]

handler functions with standard storable interface

References lti::ioHandler::appendContextStatus(), lti::ioHandler::appendStatusString(), lti::ioHandler::getLevel(), read(), lti::ioHandler::readBegin(), lti::ioHandler::readEnd(), lti::ioHandler::readKeyValueSeparator(), lti::ioHandler::restoreLevel(), and lti::ioHandler::trySymbol().

bool lti::read ( ioHandler &  handler,
unsigned short &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
short &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
unsigned long &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
long &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
bool &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
ubyte &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
byte &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
char &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
unsigned int &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
int &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
float &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
double &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
std::string &  data 
)

read functions for standard types

bool lti::read ( ioHandler &  handler,
pointDistributionModel &  p,
const bool  complete = true 
)

read a pointDistributionModel

template<class T , class P >
bool lti::read ( ioHandler &  handler,
hMatrix< T, P > &  mat,
const bool  complete = true 
) [inline]

read the vector from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be read or not

References lti::hMatrix< T, P >::read().

template<class T >
bool lti::read ( ioHandler &  handler,
hPoint3D< T > &  p,
const bool  complete = true 
) [inline]

read the vector from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be readed

References lti::hPoint3D< T >::h, lti::ioHandler::read(), lti::ioHandler::readBegin(), lti::ioHandler::readDataSeparator(), lti::ioHandler::readEnd(), lti::hPoint3D< T >::x, lti::hPoint3D< T >::y, and lti::hPoint3D< T >::z.

template<class T >
bool lti::read ( ioHandler &  handler,
hPoint2D< T > &  p,
const bool  complete = true 
) [inline]

read the vector from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be readed

References lti::hPoint2D< T >::h, lti::ioHandler::read(), lti::ioHandler::readBegin(), lti::ioHandler::readDataSeparator(), lti::ioHandler::readEnd(), lti::hPoint2D< T >::x, and lti::hPoint2D< T >::y.

bool lti::read ( ioHandler &  handler,
draw3D< rgbPixel >::parameters &  p,
const bool  complete = true 
) [inline]

read the draw3D<>::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
blobEM::gaussEllipse &  el,
const bool  complete = true 
)

read a blobEM::gaussEllipse from the given stream handler

Parameters:
handler ioHandler where the ellipse should be read from.
el ellipse will be left here
complete if true (default), begin and end tokens will be read too.
Returns:
true if successful, false otherwise
bool lti::read ( ioHandler &  handler,
stdLayer &  p,
const bool  complete = true 
)

read the objectProb from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be readed

bool lti::read ( ioHandler &  handler,
MLP::activationFunctor &  p,
const bool  complete = true 
)

read the functor::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
classifier::outputTemplate &  p,
const bool  complete = true 
)

read the functor::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
classifier::outputVector &  p,
const bool  complete = true 
)

read the functor::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
classifier &  p,
const bool  complete = true 
)

read the classifier from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
classifier::parameters &  p,
const bool  complete = true 
)

read the functor::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::read ( ioHandler &  handler,
functor &  p,
const bool  complete = true 
)

read the functor from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not. The default implementation is to write only the parameters object, since most functors do not have a state.

bool lti::read ( ioHandler &  handler,
functor::parameters &  p,
const bool  complete = true 
)

read the functor::parameters from the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

template<typename T >
T lti::real ( const complex< T > &  cn  )  [inline]

get the real part of a complex number

References lti::complex< T >::real().

float lti::reciprocal ( const float &  x  )  [inline]

Compute the reciprocal of the given value x, defined as 1/x.

double lti::reciprocal ( const double &  x  )  [inline]

Compute the reciprocal of the given value x, defined as 1/x.

const rgbPixel lti::Red ( 255  ,
0  ,
0  ,
0   
)

constant for the color read.

rgbColor lti::scale ( const rgbColor &  src,
double  f 
) [inline]

Function for scaling a color's intensity.

Parameters:
src rgbColor of the original color
f factor by which to multiply the R, G and B values. Warning: Saturation effects might lead to strange results.
Returns:
rgbColor where R, G and B have the given value t.

References lti::rgbPixel::getBlue(), lti::rgbPixel::getGreen(), lti::rgbPixel::getRed(), max(), and min().

Referenced by brighter(), and darker().

template<typename T >
complex<T> lti::sin ( const complex< T > &  cn  )  [inline]

sine of a complex number

References cos(), cosh(), lti::complex< T >::imag(), lti::complex< T >::real(), and sinh().

Referenced by cos(), cosh(), polar(), sinh(), and tan().

template<class T >
void lti::sincos ( T  angle,
T &  sval,
T &  cval 
) [inline]

Calculate the sine and cosine values of angle in one step if the setup allows it.

Parameters:
angle the angle
sval sine of the angle
cval cosine of the angle

References sincos_impl().

Referenced by sincos_impl(), and lti::draw< rgbPixel >::turnPoint().

void lti::sincos_impl ( double  angle,
double &  sval,
double &  cval 
) [inline]

Calculate the sine and cosine values of angle in one step if the setup allows it.

References sincos().

Referenced by sincos().

void lti::sincosf_impl ( float  angle,
float &  sval,
float &  cval 
) [inline]

Calculate the sine and cosine values of angle in one step if the setup allows it.

template<typename T >
complex<T> lti::sinh ( const complex< T > &  cn  )  [inline]

hyperbolic sine of a complex number

References cos(), cosh(), lti::complex< T >::imag(), lti::complex< T >::real(), and sin().

Referenced by cos(), cosh(), sin(), and tanh().

template<typename T >
complex<T> lti::sqrt ( const complex< T > &  cn  )  [inline]

square root of a complex number.

A there are always two solutions for sqrt(x+iy), this method provides the first one consisting in sqrt(m*e^(i*a))=sqrt(m)*e^(i*a/2)

References abs(), lti::complex< T >::imag(), and lti::complex< T >::real().

Referenced by abs(), acos(), asin(), lti::l2Distantor< T, D >::computeDistance(), lti::tpoint3D< T >::distanceTo(), lti::tpoint< T >::distanceTo(), lti::chromaticityHistogram::l2accumulator< T >::operator T(), lti::l2Distantor< T, D >::operator()(), lti::chromaticityHistogram::l2accumulator< T >::operator/(), lti::draw3D< T >::parameters::setCamera(), sqrt(), and sqrtrect().

template<class T >
T lti::sqrtrect ( const T  x  )  [inline]

square root of rectified value, i.e.

returns 0 if x<=0 or sqrt(x) otherwise.

References sqrt().

template<typename T >
complex<T> lti::tan ( const complex< T > &  cn  )  [inline]

tangent of a complex number

References cos(), and sin().

template<typename T >
complex<T> lti::tanh ( const complex< T > &  cn  )  [inline]

hyperbolic tangent of a complex number

References cosh(), and sinh().

static const rgbColor lti::Violet ( 127  ,
127  ,
255   
) [static]

constant for the color violet.

const rgbPixel lti::White ( 255  ,
255  ,
255  ,
0   
)

constant for the color white.

template<class T >
bool lti::write ( ioHandler &  handler,
const tensor< T > &  hist,
const bool  complete = true 
) [inline]

write the matrix in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

References lti::tensor< T >::write().

template<class T >
bool lti::write ( ioHandler &  handler,
const sequence< T > &  seq,
const bool  complete = true 
) [inline]

write the sequence in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

References lti::sequence< T >::write().

bool lti::write ( ioHandler &  handler,
const mathObject &  mo,
const bool  complete = true 
)

write the mathObject in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const hiddenMarkovModel &  p,
const bool  complete = true 
)

write hidden markov model

bool lti::write ( ioHandler &  handler,
const hiddenMarkovModel::singleDensity &  p,
const bool  complete = true 
)

write single density

template<class T >
bool lti::write ( ioHandler &  handler,
const std::string &  name,
const T &  data,
const bool  complete = true 
) [inline]

handler functions with standard storable interface

References write(), lti::ioHandler::writeBegin(), lti::ioHandler::writeEnd(), lti::ioHandler::writeEOL(), lti::ioHandler::writeKeyValueSeparator(), and lti::ioHandler::writeSymbol().

bool lti::write ( ioHandler &  handler,
const unsigned short &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const short &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const unsigned long &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const long &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const bool &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const ubyte &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const byte &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const char &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const unsigned int &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const int &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const float &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const double &  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const char *  data 
)

read functions for standard types

bool lti::write ( ioHandler &  handler,
const std::string &  data 
)

write functions for standard types

bool lti::write ( ioHandler &  handler,
const pointDistributionModel &  p,
const bool  complete = true 
)

write a pointDistributionModel

template<class T , class P >
bool lti::write ( ioHandler &  handler,
const hMatrix< T, P > &  mat,
const bool  complete = true 
) [inline]

write the vector in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

References lti::hMatrix< T, P >::write().

template<class T >
bool lti::write ( ioHandler &  handler,
const hPoint3D< T > &  p,
const bool  complete = true 
) [inline]

write the vector in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

References lti::hPoint3D< T >::h, lti::ioHandler::write(), lti::ioHandler::writeBegin(), lti::ioHandler::writeDataSeparator(), lti::ioHandler::writeEnd(), lti::hPoint3D< T >::x, lti::hPoint3D< T >::y, and lti::hPoint3D< T >::z.

template<class T >
bool lti::write ( ioHandler &  handler,
const hPoint2D< T > &  p,
const bool  complete = true 
) [inline]

write the vector in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

References lti::hPoint2D< T >::h, lti::ioHandler::write(), lti::ioHandler::writeBegin(), lti::ioHandler::writeDataSeparator(), lti::ioHandler::writeEnd(), lti::hPoint2D< T >::x, and lti::hPoint2D< T >::y.

bool lti::write ( ioHandler &  handler,
const draw3D< rgbPixel >::parameters &  p,
const bool  complete = true 
) [inline]

write the draw3D<>::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const blobEM::gaussEllipse &  el,
const bool  complete = true 
)

write a blobEM::gaussEllipse into the given stream handler

Parameters:
handler ioHandler where the ellipse should be written.
el ellipse
complete if true (default), begin and end tokens will be written around the object.
Returns:
true if successful, false otherwise
bool lti::write ( ioHandler &  handler,
const stdLayer &  p,
const bool  complete = true 
)

write the vector in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const MLP::activationFunctor &  p,
const bool  complete = true 
)

write the functor::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const classifier::outputTemplate &  p,
const bool  complete = true 
)

write the functor::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const classifier::outputVector &  p,
const bool  complete = true 
)

write the functor::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const classifier &  p,
const bool  complete = true 
)

write the classifier in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const classifier::parameters &  p,
const bool  complete = true 
)

write the functor::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

bool lti::write ( ioHandler &  handler,
const functor &  p,
const bool  complete = true 
)

write the functor in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not. The default implementation is to write only the parameters object, since most functors do not have a state.

bool lti::write ( ioHandler &  handler,
const functor::parameters &  p,
const bool  complete = true 
)

write the functor::parameters in the given ioHandler.

The complete flag indicates if the enclosing begin and end should be also be written or not

const rgbPixel lti::Yellow ( 255  ,
255  ,
0  ,
0   
)

constant for the color yellow.

Variable Documentation

const palette lti::emptyPalette

An empty vector used to denote an empty palette.

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