文件名称:sfikasLibrary

介绍说明--下载内容均来自于网络,请自行研究使用

一个利用GMM,SVGMM对图像进行分割的matlab程序,采用的是blobworld采集特征的方法。初始化也有备选多种方法-A use of the GMM, SVGMM image segmentation matlab program, the is blobworld collection features. Initialization also have options for a variety of methods
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下载文件列表





blobworld\buildBlobDescriptor.m

.........\computePolarity.m

.........\findProperBin.m

.........\getBlobWorldBinCorelations.m

.........\NOTE.txt

.........\scaleSelection.m

matrixManipulation\convertJxN.m

..................\convolution2D.m

..................\maxVote.m

..................\smoothUsingVariantScale.m

..................\translation.m

.exRoutines\BIDProjection.asv

...........\BIDProjection.m

...........\MEXgridScan.c

...........\MEXgridScan.mexw32

...........\MEXmultiResolution.mexw32

...........\MEX_BIDProjection.asv

...........\MEX_BIDProjection.c

...........\MEX_BIDProjection.mexw32

...........\MEX_ConjugateProjection.c

...........\MEX_ConjugateProjection.mexw32

...........\NOTE.txt

...........\xBIDProjection.m

...........\xConjugateProjection.m

.ixtureLearning\gaussianMixEmFit.asv

...............\gaussianMixEmFit.m

...............\gaussianMixGreedyEmFit.m

...............\markov\gaussianMixBayesianContinuousLp.m

...............\......\gaussianMixBayesianLp.m

...............\......\gaussianMixDCASV.m

...............\studentMixEmFit.m

...............\studentMixGreedyEmFit.m

...............\variational\gaussianMixBayesian.m

...............\...........\gaussianMixBayesian.m~

...............\...........\Learning an 8-component Bayesian GMM example.avi

...............\...........\myArtificialData.mat

...............\...........\studentMixBayesian.asv

...............\...........\studentMixBayesian.m

...............\...........\studentMixBayesianXP.m

...............\...........\Thumbs.db

pdfDistances\bhgmmDistance.m

............\emdDistance.m

............\kullbackDistance.m

............\l2Distance.m

............\mahalanobisDistance.m

segmentation\boundaryDetectionError.m

............\buildSegmentation.asv

............\buildSegmentation.m

............\diceIndex.asv

............\diceIndex.m

............\globalConsistencyError.m

............\Ncuts\computeParametersLayers.asv

............\.....\computeParametersLayers.m

............\.....\computeParametersLayers~PARAMETERSNIKOU.m

............\.....\computeParametersW.asv

............\.....\computeParametersW.m

............\.....\discretisation.m

............\.....\init.m

............\.....\ncut_multiscale.m

............\.....\Ncut_Segmentation.asv

............\.....\Ncut_Segmentation.m

............\.....\RGB2Lab.m

............\.....\SFIKAS-README.txt

............\.....\util\Affinity.cpp

............\.....\....\Affinity_F.cpp

............\.....\....\Affinity_hist.cpp

............\.....\....\Affinity_IC.cpp

............\.....\....\Affinity_multiscale.cpp

............\.....\....\Affinity_multiscale_hist.cpp

............\.....\....\Affinity_multiscale_option.cpp

............\.....\....\arrow.m

............\.....\....\a_times_b_cmplx.cpp

............\.....\....\changeExt.m

............\.....\....\cimgnbmap_lower.cpp

............\.....\....\cimgnbmap_lower.dll

............\.....\....\cimgnbmap_lower.dll.dll

............\.....\....\cimgnbmap_lower.mexa64

............\.....\....\cimgnbmap_lower.mexglx

............\.....\....\clusteringBasic.m

............\.....\....\compileDir.m

............\.....\....\computeConstraintFromClasses.m

............\.....\....\computeKFirstEigenvectors.m

............\.....\....\computeLocationFromConstraints.m

............\.....\....\computeMultiscaleConstraints.m

............\.....\....\computeMultiscaleConstraint_1scale.m

............\.....\....\computeMultiscaleW.m

............\.....\....\computeNcutConstraint_projection.m

............\.....\....\computeW_1scale.m

............\.....\....\computeW_1scale_1channel.m

............\.....\....\compute_good_fft_dim.m

............\.....\....\compute_W_C_multiscale.m

............\.....\....\correlation2d.m

............\.....\....\dir2.m

............\.....\....\doog1.m

............\.....\....\doog2.m

............\.....\....\eigs_optimized.m

............\.....\....\gaussian.m

............\.....\....\getDefaultOptionsEigs.m

............\.....\....\imread2.m

............\.....\....\make_filterbank_even2.m

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