I am trying to write a code that takes a large square image, breaks it up into small square segments, and then calculates the mean and standard deviation of each segment ignoring nan values.
Right now I'm trying to use cellfun to do this. I have the following code:
a = mat2cell(A,dimSpec1,dimSpec1);
sigma = cellfun(@std2,a,'UniformOutput',true);
xbar = cellfun(@mean2,a,'UniformOutput',true);
The problem is that most of the small segments have nan values, so when I calculate sigma or xbar I end up with a matrix full of nan values. But when I use something like nanmean or mean with ignore nan, I can't do the calculation in 2d. So how can I calculate the 2D mean and std, ignoring nans, in cellfun?
I don't use cellfun before so apologies if this is a overly basic question. It's also very likely that I'm approaching the whole problem badly, so if anyone has any suggestions I'm more than happy to hear them. Thanks!