Rank: 153793 based on 0 downloads (last 30 days) and 0 file submitted
photo

Francesco

E-mail

Personal Profile:
Professional Interests:

 

Watch this Author's files

 

Comments and Ratings by Francesco View all
Updated File Comments Rating
14 Jul 2012 Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data. Author: Philipp Berens

excuse my previous post! I just realize what p-axial truly meant.

For further reference this will solve the previously cited problem

%% uniform distribution test
% in the interval [0, 180)
y180 = circ_axial(circ_ang2rad(0 + 179*rand(4000,1)),2);
p180 = circ_otest(y180)
% in the interval [0 360)
y360 = deg2rad(0 + 359*rand(4000,1));
p360 = circ_otest(y360)

14 Jul 2012 Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data. Author: Philipp Berens

excuse my previous post! I just realize what p-axial truly meant.

For further reference this will solve the previously cited problem

%% uniform distribution test
% in the interval [0, 180)
y180 = circ_axial(circ_ang2rad(0 + 179*rand(4000,1)),2);
p180 = circ_otest(y180)
% in the interval [0 360)
y360 = deg2rad(0 + 359*rand(4000,1));
p360 = circ_otest(y360)

14 Jul 2012 Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data. Author: Philipp Berens

I am testing the toolbox out with not much of a prior knowledge on the subject. It seems a really good piece of software and it's helping me out grasping some of the theory.

I have a question: if I am dealing with orientations [0, 180) degrees more than directions [0 360), is there a proper way to transform may data prior to using the function in the toolbox?

For example, if I am trying to test for circular uniformity with a population that is uniformly distributed in [0 180) - which I'd like to have a p>0.05 - I obtained a very small value, which is consistent with the test looking over the full interval.

Suggestions? Thanks
Francesco

---Example code ----
y180 = circ_ang2rad(0 + 179*rand(4000,1));
p180 = circ_otest(y180)
% in the interval [0 360)
y360 = deg2rad(0 + 359*rand(4000,1));
p360 = circ_otest(y360)

08 Apr 2011 tvreg: Variational Image Restoration and Segmentation TV-based image restoration and Chan-Vese segmentation. Usable from MATLAB or C/C++. Author: Pascal Getreuer

Hi,
is it possible to compile it under Matlab R2011b on a 64 bit machine, having downloaded the 64 bit version of FFTW ?

I am trying and obtaining the following error:

For help, please see the comments at the top of compile_mex.m.

mex tvreg.c -I"C:\Users\FSP\Documents\MATLAB\Image Processing\lib\fftw" "C:\Users\FSP\Documents\MATLAB\Image Processing\lib\fftw\libfftw3-3.lib"

LINK : warning LNK4044: unrecognized option '/lkernel32'; ignored
Creating library C:\Users\FSP\AppData\Local\Temp\mex_WdWSGO\templib.x and object C:\Users\FSP\AppData\Local\Temp\mex_WdWSGO\templib.exp
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_plan_many_r2r referenced in function InitDeconvDct
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_destroy_plan referenced in function InitDeconvDct
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_execute referenced in function InitDeconvDct
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_plan_r2r_2d referenced in function InitDeconvDct
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_plan_many_dft_c2r referenced in function InitDeconvFourier
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_plan_many_dft_r2c referenced in function InitDeconvFourier
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_plan_dft_r2c_2d referenced in function InitDeconvFourier
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_cleanup referenced in function TvRestore
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_free referenced in function TvRestore
tvreg.obj : error LNK2019: unresolved external symbol __imp_fftw_malloc referenced in function TvRestore
tvreg.mexw64 : fatal error LNK1120: 10 unresolved externals

C:\PROGRA~1\MATLAB\R2010B\BIN\MEX.PL: Error: Link of 'tvreg.mexw64' failed.

Sorry, it seems there was a problem compiling tvreg.c. Please edit
compile_mex.m and correct the configuration options at the top of the file.

Best
Francesco

06 Apr 2011 Multiphase level set image segmentation performs multiphase level set image segmentation according to various formulations Author: Ismail Ben Ayed

Hi,
your code seems very promising and I like the professional way in which the documentation is cured.

I have a problem though, which is likely more general: Matlab 64bit doesn't come with LCC compiler, and in fact this is not supported at all, so I can't find a way around it to compile it.

Any suggestions? Could you provide pre-compiled routines somewhere?

Best
Francesco

Contact us