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Contents.txt
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% Contents.m
%
% Toolbox: Balu
% Balu Help
%
% Display help information of Balu Toolbox Matlab
%
% D.Mery 2014
% http://dmery.ing.puc.cl
%
% Image processing (im)
% Bim_build + Build image structure for Bio_loadimg
% Bim_color2bwreg + Convert a region to b&w
% Bim_colorenhancement + Enhancement of a color image
% Bim_colorconv + Color space conversion
% Bim_cssalient + Saliency map
% Bim_d1 + First derivative (gradient)
% Bim_d2 + Second derivative (laplacian)
% Bim_deconvolution + Inverse filtering
% Bim_equalization + Equalization forcing uniform histogram
% Bim_fconversion + image format conversion
% Bim_hsi2rgb + Conversion HSI to RGB
% Bim_inthist + Integral histogram
% Bim_inthistread + Integral histogram of a part of an image
% Bim_labparam + Estimation of L*a*b* parameters
% Bim_lin + Lineal enhancement
% Bim_LUT + Grayvalue transformation using lookup table
% Bim_maxmin + Normalization of a image between 0 and 1
% Bim_morphoreg + Morphological operations
% Bim_performance + Precision - recall using real and ideal segmentation
% Bim_regiongrow + Interactive segmentation
% Bim_resminio + Restoration using MINIO criterium
% Bim_rgb2hcm + Conversion RGB to high contrast image
% Bim_rgb2hsi + Conversion RGB to HSI
% Bim_rgb2lab + Conversion RGB to L*a*b* using calibration
% Bim_rgb2lab0 + Conversion RGB to L*a*b* using formulas
% Bim_rgb2pca + Conversion RGB to PCA
% Bim_sat + Saturation of an image
% Bim_segbalu + Segmentation of an object using hci transform
% Bim_segblops + Segmentation of blops
% Bim_segdefects + Segmentation of defects
% Bim_segkmeans + Kmeans Segmentation
% Bim_segmaxfisher + Color segmentacion using Fisher discriminat
% Bim_segmaxvar + Color segmentacion maximizing the variance
% Bim_segmowgli + Segmentation of an object's region
% Bim_segmser + Maximal Stable Energy Region Segmentation
% Bim_segotsu + Otsu Segmentation
% Bim_segpca + Segmentation of an object using pca
% Bim_segsliwin + Segmentation using sliding windows
%
% Feature extraction (fx)
% Bfx_all + (int) grayvalues of all pixels
% Bfx_basicgeo + (geo) Standard geometric features
% Bfx_basicint + (int) Standard intesnity features
% Bfx_build + Construction of a Balu Feature Extraction structure
% Bfx_clp + (int) Crossing line profiles
% Bfx_contrast + (int) Contrast features
% Bfx_dct + (int) DCT features
% Bfx_files + (int & geo) feature extraction from a set of images
% Bfx_fitellipse + (geo) Ellipse features
% Bfx_flusser + (geo) Flusser moments
% Bfx_fourier + (int) Fourier features
% Bfx_fourierdes + (geo) Fourier descriptors
% Bfx_gabor + (int) Gabor texture features
% Bfx_geo + (geo) Geometric features
% Bfx_gui + Graphic user interface for feature extraction
% Bfx_gupta + (geo) Gupta moments
% Bfx_haralick + (int) Haralick texture features
% Bfx_hog + (int) Histogramf of Oriented Gradients
% Bfx_hugeo + (geo) Hu moments
% Bfx_huint + (int) Hu moments with intensity
% Bfx_int + (int) Intensity features
% Bfx_lbp + (int) Local binary pattern texture features (6)
% Bfx_lbpcontrast + (int) Contrast using LBP features
% Bfx_lbhog + (int) LBP and HOG features
% Bfx_moments + (geo) Statistical and central moments
% Bfx_onesift + (int) Extract one sift descriptor of a region
% Bfx_phog + (int) Pyramid Histogram of Oriented Gradients (7)
% Bfx_randomsliwin + (int) fx from random sliding windows
% Bfx_vlhog + (int) HOG using VLfeat Toolbox
%
% Feature transformation (ft)
% Bft_lseft + Transformation using LSEF algorithm
% Bft_norm + Normalization of features
% Bft_pca + Principal Components Analysis
% Bft_pcr + Principal Components Regression
% Bft_plsr + Partial Least Squares Regression (8)
% Bft_uninorm + Norm of each column is one
% Bft_vq + Vector quantization
%
% Feature selection (fs)
% Bfs_all + Dummy selection: it selects all features
% Bfs_balu + Normalize, clean and select features
% Bfs_bb + Branch and Bound feature selection
% Bfs_build + Construction of a Balu Feature Selection structure
% Bfs_clean + Delete high correlated and constant features
% Bfs_exsearch + Feature selection using exhaustive serach
% Bfs_fosmod + Feature Selection using FOS-MOD algorithm
% Bfs_lsef + Feature Selection using LSE-forward algorithm
% Bfs_mRMR + Feature selection after Peng
% Bfs_nobackground + Delete contrast features
% Bfs_noposition + Delete position features
% Bfs_norotation + Delete rotation variant features
% Bfs_random + Select best features from random subsets
% Bfs_rank + Feature selection using command rankfeatures
% Bfs_ransac + Select best features from random samples
% Bfs_sfs + Sequential forward feature selection
% Bfs_sfscorr + SFS for regression problems
%
% Input/Output (io)
% Bio_copyfiles + Copy files of a directory wit a new name
% Bio_decisionline + Line decision for 2 features problem
% Bio_drawellipse + Draw an ellipse
% Bio_edgeview + Edge of an object
% Bio_findex + Index number of a feature for a given string
% Bio_fmtconv + Image format conversion
% Bio_imgshow + Display an image of a sequence
% Bio_labelimage + User interface to label a set of images
% Bio_labelregion + User interface to label regions of an image
% Bio_latextable + Build LateX table
% Bio_loadimg + Load an image of a sequence
% Bio_maillist + Send emails to a mail-list
% Bio_plotfeatures + Feature space
% Bio_plotroc + Plot ROC
% Bio_plotsquare + Square onto an image
% Bio_printfeatures + Feature values
% Bio_regshow + Display a region in a color image
% Bio_segshow + Display image and segmentation with Bim_segbalu
% Bio_sendmail + Send e-mail
% Bio_showconfusion + Show confusion matrix using colormap
% Bio_statusbar + Display progress bar (10)
%
% Data selection & generation (ds)
% Bds_Adasyn + Oversampling method Adasyn
% Bds_bootstrap + Bootstrap sample
% Bds_BorderSMOTE + Oversampling method Border SMOTE
% Bds_CNNRule + Undersampling method CNN rule
% Bds_gaussgen + Generation of Gaussian Data
% Bds_ixstratify + Data Stratification (without replacement)
% Bds_labels + Generation of (supervised) label vector
% Bds_NCLRule + Undersampling method NCL
% Bds_nostratify + Data Sampling without Stratification
% Bds_OSS + Undersampling method OSS
% Bds_ROS + Oversampling method ROS
% Bds_RUS + Undersampling method RUS
% Bds_stratify + Data Stratification
% Bds_smote + Oversampling method SMOTE
% Bds_TomekLinks + Undersampling method TomeLinks
%
% Classification (cl)
% Bcl_adaboost + AdaBoost.M2
% Bcl_AdaboostM1 + AdaBoost.M1
% Bcl_bagging + Bagging
% BclBalanceCasacade + Balance Cascade
% Bcl_balu + Exhaustive Feature & Classifier Selection
% Bcl_bayes2 + Bayes for two features
% Bcl_boosting + Boosting
% Bcl_boostVJ + Viola-Jones boosting
% Bcl_build + Construction of a Balu classifier structure
% Bcl_construct + Inner procedure (not a classifier function)
% Bcl_dcs + Dynamic classifier selection
% Bcl_det21 + Linear Detector for 2 features
% Bcl_det22 + Quardatic Detector for 2 features
% Bcl_dmin + Euclidean minimal distance
% Bcl_EasyEnsemble + Easy Ensemble
% Bcl_ensemble + Ensemble of n classifiers
% Bcl_exe + Execute a Balu classifier
% Bcl_gui + Graphic user interface for model selection
% Bcl_knn + k-nearest neighbors (1)
% Bcl_lda + Linear discriminant analysis
% Bcl_libsvm + SVM using library LIBSVM (9)
% Bcl_maha + Mahalanobis minimal distance
% Bcl_nbnnxi + Naive Bayes Nearest Neighbor for histograms
% Bcl_nnglm + Neural Network (5)
% Bcl_outscore + Function for include score into class vector
% Bcl_pegasos + Pegasos Support Vector Machine (1)
% Bcl_pnn + Probabilistic Neural Network (2)
% Bcl_qda + Quadratic Discriminant Analysis
% Bcl_SMOTEBoost + Smote Boost
% Bcl_structure + Classification using a Balu's structure
% Bcl_svm + Support Vector Machine (4)
% Bcl_svmplus + SVM for 2 or more classes (4)
% Bcl_tree + Decision tree
% Bcl_weakc + Weak Classifier (3)
%
% Feature analysis (fa)
% Bfa_bestcorr + Search best linear correlation
% Bfa_bestcorrn + Search best linear combination correlation
% Bfa_corrsearch + Error estimation of linear or quadratic model
% Bfa_dXi2 + Xi^2 distance between two vectors
% Bfa_gmean + Geometric mean
% Bfa_jfisher + score using Fisher discriminant
% Bfa_kde + Kernel density estimator
% Bfa_kde2d + Kernel density estimator for 2D
% Bfa_miparzen2 + Mutual Information using Parzen window
% Bfa_score + score of a set of features
% Bfa_sp100 + score using sp=100%
% Bfa_sqcorrcoef + Squared-correlation coefficient
% Bfa_vecsimilarity + Normalized scalar product
%
% Clustering (ct)
% Bct_kmeans + Clustering using k-means
% Bct_knngraph2d + KNN graph for 2D
% Bct_meanshift + Clustering using meanshift
% Bct_medoidshift + Clustering using medoidshif
% Bct_neighbor + Neighbor clustering
% Bct_neighbor2D + Neighbor clustering in 2D
% Bct_spectralct + Spectral clustering
%
% Performance evaluation (ev)
% Bev_bootstrap + Bootstrap evaluation
% Bev_bootstrap0632 + Bootstrap 0.632 evaluation
% Bev_confidence + Confidence interval
% Bev_confusion + Confusion Matrix
% Bev_crossval + Cross-validation
% Bev_holdout + Holdout evaluation
% Bev_jackknife + Jackknife
% Bev_performance + Performance evaluation
% Bev_roc + ROC curve
%
% Multi-view analysis (mv)
% Bmv_antisimetric + Antisimetric matrix
% Bmv_bundleafin + Afin bundle adjustment
% Bmv_bundleproj + Projective bundle adjustment
% Bmv_epidist + Epipolar distance
% Bmv_epiplot + Plot of epipolar line
% Bmv_epipoles + Epipoles from fundamental matrix
% Bmv_fundamental + Fundamental matrix F from 2 projection matrices
% Bmv_fundamentalRANSAC + RANSAC estimation of F from projection points
% Bmv_fundamentalSIFT + Estimation of F using SIFT points (1)
% Bmv_fundamentalSVD + SVD estimation of F from projection points
% Bmv_guiproy2D + GUI for projective transformation in 2D
% Bmv_homographyRANSAC + RANSAC estimation of homography matrix H
% Bmv_homographySIFT + Homography of two images using SIFT points (1)
% Bmv_homographySVD + SVD estimation of homography matrix H
% Bmv_line2img + Line to image conversion
% Bmv_lines2point + Intersction of two 2D lines
% Bmv_matchSIFT + Matching points between two images
% Bmv_matrixp + Perspective projection matrix 3D->2D
% Bmv_matrixr2d + Rotation matrix in 2D
% Bmv_matrixr3d + Rotation matrix in 3D
% Bmv_points2line + 2D line l that contains two 2D points
% Bmv_projective2D + 2D projective transformation
% Bmv_reco3d2 + 3D reconstruction in 2 views
% Bmv_reco3dn + 3D reconstruction in n views
% Bmv_reco3dna + 3D affine reconstruction in n views
% Bmv_reproj3 + Reprojection of third view
% Bmv_tqsift + Target - query search using SIFT
% Bmv_trifocal + Trifocal tensors
% Bmv_trifocalSVD + Estimation of Trifocal Tensors using SVD decomposition
%
% Sequence processing (sq)
% Bsq_des + Description of a sequence (1)
% Bsq_fundamental + Fundamental matrices of a sequence (calib)
% Bsq_fundamentalSIFT + Fundamental matrix between two sequence views
% Bsq_load + Load an image sequence
% Bsq_movie + Movie of an image sequence
% Bsq_multifundamental + Fundamental matrices of a sequence (no calib)
% Bsq_patch + Patches of a sequence
% Bsq_show + Display of a sequence
% Bsq_sort + Sort of a sequence (1)
% Bsq_stoplist + Stoplist of a visual vocabulary
% Bsq_stopout + Filtering of stop words
% Bsq_trifocal + Trifocal tensors of a sequence
% Bsq_vgoogle + Search similar sequence images (1)
% Bsq_visualvoc + Visual vocabulary
% Bsq_vocabulary + Visual vocabulary of a sequence (1)
%
% Tracking (tr)
% Btr_2 + Matching in 2 views with epipolar constraint
% Btr_3 + Matching in 3 views with trifocal constraint
% Btr_analysis + Track analysis
% Btr_classify + Track classify using Multi-view windows
% Btr_demo + Track demo: detection using multi-view
% Btr_detection + Detection by tracking
% Btr_gui + Graphic user interface for tracking algorithm
% Btr_join + Join of matching points
% Btr_merge + Merge tracks with common matching points
% Btr_plot + Plot of tracks
% Btr_reco3d + 3D reconstruction of a track
% Btr_sfm + Structure from Motion
% Btr_sfseq + Structure from an image sequence
% Btr_sift2 + Matching keypoints in 2 views of a sequence
% Btr_siftn + Matching keypoints in n views of a sequence
% Btr_windows + Multi-view windows (MVW)
%
% Miscellaneous
% andsift + SIFT descriptors of a region
% clb + clt and delete(Bio_statusbar)
% clt + close all and clear all
% compare + comparison between two variables
% d2Y + conversion from label vector to binary matrix
% distxy + Euclidean distance between vectors of matrices
% eigsort + sorted eigen function
% enterpause + pause with "press enter to continue..."
% i2h + inhomogeneous coordinates to homogeneous
% howis + attributes of a matlab variable
% h2i + homogeneous coordinates to inhomogeneous
% imi + display image I
% imshowc + close all windows before display an image
% imshows + imshows(I) corresponds to imshow(I,[])
% indices + indices of a vector
% max2 + maximum of a matrix
% mean2 + average of a matrix
% min2 + minimum of a matrix
% num2fixstr + num2str using filling with '0' from left
% posrandom + interchange columns of a matrix randomly
% sqdif + mean of Euclidean difference
% sum2 + sum off all elements of a matrix
%
% Notes:
% (1) It requires VLFeat Toolbox (see www.vlfeat.org).
% (2) It requires Neural Network Toolbox (see www.mathworks.com).
% (3) It requires Image Processing Toolbox (see www.mathworks.com).
% (4) It requires Bioinformatics Toolbox (see www.mathworks.com).
% (5) Implementation based on NetLab Toolbox (www.ncrg.aston.ac.uk/netlab).
% (6) Based on implementation by Heikkila & Ahonen
% (from http://www.cse.oulu.fi/MVG/Research/LBP).
% (7) Based on implementation by Anna Bosch
% (from http://www.robots.ox.ac.uk/~vgg/research/caltech/phog.html).
% (8) Based on implementation nipals.m by Geladi
% (from http://www.cdpcenter.org/files/plsr).
% (9) It requires LIBSVM (see http://www.csie.ntu.edu.tw/~cjlin/libsvm/).
%(10) Copyright (c) 2004, Marcel Leutenegger.