Hello
The features of the images were extracted, 60 training images and 20 images for test.
Use the euclidean distance to compare the test samples with the training samples.
test_template2= repmat(test_template1,1,size(trdata,2));
E_distance = sqrt(sum((test_template2-euclidean_template).^2));
[result indxofmin]=min(E_distance)
Using this code I can compare one sample of the test samples with all the training samples.
How can I compare all test samples with training samples and give the closest sample number for each sample of the test?
Best Answer