Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

slbenchmark_batchfilter(imgsiz, nimgs, filtersiz, nfilters)
function recs = slbenchmark_batchfilter(imgsiz, nimgs, filtersiz, nfilters)
%SLBENCHMARK_BATCHFILTER Compares the efficiency of batch filter
%
% Input:
%   imgsiz:     the size of each image
%   nimgs:      the number of images
%   filtersiz:  The size of each filter
%   nfilters:   the list of numbers of filters
%
% History
%   - Created by Dahua Lin, on Sep 2nd, 2006


imgs = rand([imgsiz, nimgs]);
fb = rand([filtersiz, max(nfilters)]);

names = {'imfilter', 'slapplyfilerband'};
methods = {@test_imfilter, @test_slband};
nmethods = length(names);

recs = zeros(length(nfilters), nmethods);

for k = 1 : nmethods
    
    curname = names{k};
    curmethod = methods{k};
    
    disp(['Test ', curname]);
    
    for i = 1 : length(nfilters)
        nf = nfilters(i);
        tic;
        curmethod(imgs, fb(:,:,1:nf));        
        recs(i, k) = toc;        
    end        
end

recs = recs / nimgs;


function test_imfilter(imgs, fb)

nf = size(fb ,3);
R = zeros([size(imgs), nf]);
for i = 1 : nf
    R(:,:,:,i) = imfilter(imgs, fb(:,:,i), 'replicate');
end
clear R;

function test_slband(imgs, fb)

fh = size(fb, 1);
fw = size(fb, 2);
R = slapplyfilterband(imgs, fb, [fh, fw]);
clear R;











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