how to calculate mean without considering the zero in matrix

I want to calculate MSE of two frames. I am ignoring the nan values by creating a mask associated to the motion compensated frame which has 1 wherever there is a non nan value in mcframe and 0 wherever there is nan. When I caluculate the MSE i only want to caluclate the error where mask is 1. I am using the following code but the value i am getting is pretty high. Not sure if I am doing the right thing here.

Attached are the values of mask, diff and mcframe matrices

mcframe(isnan(mcframe)) = 0;
diff = (mcframe - double(current_pic)).^2;
mse = sum(sum(diff))./sum(sum(mask == 1));

[the cyclist]

FYI, it would be much easier for us if you had saved those variables to a *.mat file, and uploaded that.

Answer 1

[the cyclist]

Presumably the easiest way to do what you want is to use the nanmean function from the Statistics and Machine Learning Toolbox, or the 'omitnan' input to the mean function.