Using SVM with a real image.

Hello, guys!

I have an SVM. It's been trained with 20*40 images of eyes and non-eyes and verified on a test set of images of the same size. Now, in those parts all my images were in matrices of 20x40xN size, converted to 800xN matrices.

Normally, my SVM classifier 'says': it's either 1 for an eye or 0 for non-eye.

How can I use this SVM classifier now on a real image of any size? Probably with nlfilter? I just can't figure out, how to point nlfilter to that classifier and what would be the answer.

% prepare training set from all 20x40 images to nx800 vectors
for i = 1 : length(imageSet)
    trainingSet(i,:) = reshape(imageSet(:,:,i),1,800);
%     testSet(:,i) = reshape(imageSet(:,:,i),1,[]);
end

% prepare test set from half of eye and half of non-eye 20x40 images to nx800 vectors
for k = 424 : 1393
    testSet(k-423,:) = reshape(imageSet(:,:,k),1,800);
end

options = optimset('maxiter',100000);
SVMnet = svmtrain(trainingSet, trainLabels,'options', options);
% classes = svmclassify(SVMnet,testSet);

classes = svmclassify(SVMnet,testSet);
figure;
plot (classes);

Thanks!