Data Explorer by Adam Filion

App for exploring higher dimensional data. (app, gui, visualization)

Data Explorer

Imagine by Christian Wuerslin

4D/3D image visualization and evaluation GUI. (3d, evaluation, image analysis)

Imagine App

OptimalColor(iNBins)

fEvalLineFWHM(SData, sSelectionType, hTexts)

4D Volume Visualization by Joshua Stough

4D (3D+1) volume visualization with windowing, custom colormaps, and component selection (4d, vectorvalued volumetr..., visualization)

vis4d(I, mycmaps, figName)

4D Data Visualization with Matlab Implementation by Hristo Zhivomirov

An 4D (four dimensions) data visualization using Matlab commands “scatter” and “slice”. (4d, data, visualization)

four_dim_scatter.m

four_dim_slice.m

4D data exploration by Thomas Deneux

Navigate through 2D+time or 3D+time data through interactively linked cross-sections, time course pl (4d, volumic data, crosssections)

fn_4Dview(varargin)

fn_ismemberstr(a,b)

fn_meshclosestpoint(P,p)

meanX by dberm22

meanX calculates the mean (a single value) for any X-dimensional matrix. (mean, mean2, mean3)

meanx( A )

4-D Sobel Edge Detection by Rene Fung

Function S = edge4d(A) returns the magnitude of Sobel edge at every (x,y,z,t) of 4-d tensor A (image processing, edge, 4d)

edge4d(A)

Whos by Matt J

Variant of whos(). Gives memory in Kbytes and displays array dimensions even for 4D+ arrays. (whos, memory, kilobytes)

varargout=Whos(varargin)

Separable N-Dimensional Convolution by Igor Solovey

N-dimensional convolution for separable kernels, similar to functionality of "conv2(hcol, hrow, A)" (convolution, separability, nd)

convnsep(h,V,type)

test01.m

GUI for Multivariate Image Analysis of 4-dimensional data by Kateryna Artyushkova

Multivariate Image Analysis of 4-dimensional image sequences using 2-step two-way and three-way ... (pca, simplisma, image analysis)

[Classes,Centres,FinalDistance]=dcKMeans(Data,k,InitCentres...

[M,mask]=profile_z(images);

[c,t]=trilin(c,ne,ishape)

Separate Kernel in 1D kernels by Dirk-Jan Kroon

Decompose an arbitrary N dimensional filtering kernel into 1D kernels, for faster filtering (2d, gaussian, 3d)

[K1 KN ERR]=SeparateKernel(H)

bar4viacolor by Andrew Diamond

4-D bar graph : hack on bar3 with another dimension via color (2 poss. schemes) (specialized, plotting, bar graph)

bar4viacolor(varargin)

PLOT4 by Christophe Lauwerys

Plot colored lines and points in 3-D space (3d, 4d, data exploration)

varargout=plot4(x,y,z,c,varargin);