ordfilt3

Perform 3-D order-statistic filtering on 26 neighbors.

Description

Same as ordfilt2 but for 3D dataset. Can be used as a 3D median , max or min filter. With little modification could be used with any arbitrary function.

for a 3D 100x100x100 uint8 dataset, it runs in about 2.75s on a P4 2.4GHz 1G RAM personnal computer (XP)

% ordfilt3D: Perform 3-D order-statistic filtering on 26 neighbors
%
% [Vr] = ordfilt3D(V0,ord,padoption)
% use 26 neighbors
% ord = 14 <=> median filtering
% ord = 1 <=> min
% ord = [1 27] <=> [min max]
% padoption: same as in padarray
%
% Olivier Salvado, Case Western Reserve University, 16Aug04

• Acknowledgements: This submission has inspired the following:; ordfilt3
• MATLAB release: MATLAB 7 (R14)

[safit gf]

i need if possible more details about this filter to be able to understant it.
 thank you

[norbert kirchgessner]

very helpful and rather fast but memory consuming

by using

    Vn = zeros(S(1),S(2),S(3),27,'uint8'); % all the neighbor

and

    Vn = zeros(S(1),S(2),S(3),27,'single'); % all the neighbor

at the specific sites, saves half the exexution time

Thank you very much

[i scardanzan]

obsurde memory request for real world image applications ... say you have 512 x 512 x 512 volume ... the is a small subvolume for real CT or MR application ... what sort of memory do you need ????

[Tal Kenig]

Fast implementation. Too bad it handles only a 3x3x3 neighborhood.
For scardanzan : for these type of applications you usually use a very strong machine, and don't work in Matlab...

[ivan scardanzan]

the following is a 3d filter with much better memory management :
MEDFILT3 performs median filtering of an array in three dimensions.

[David]

Fast, but the window size is fixed to 3 by 3 by 3 ....

[Juha-Matti Alakoskela]

Much faster than medfilt3.