MATLAB: How to calculate true positive , true negative, false positive and false negative as we have segmented and ground truth

accuracydigital image processingimage segmentationMATLAB

calculate true positive , true negative, false positive and false negative as we have segmented and ground truth is that code is correct idx = (expected()==1)
p = length( expected(idx)) n = length( expected(~idx)) N = p+n tp = sum( expected(idx)== predicted(idx)) tn = sum( expected(~idx)== predicted(~idx)) fp = n-tn fn = p-tp
accuracy=(tp+tn)/(tp+tn+fp+fn)

Best Answer

%Last year I answered this way, you can avoid the loop (Recommended)
TP=0;FP=0;TN=0;FN=0;
for i=1:400;
for j=1:400;
if(gold_data(i,j)==1 & test_data(i,j)==1);
TP=TP+1;
elseif(gold_data(i,j)==0 & test_data(i,j)==1);
FP=FP+1;
elseif(gold_data(i,j)==0 & test_data(i,j)==0);
TN=TN+1;
else
FN=FN+1;
end
end
end