use bwconncomp for large sparse matrices

I have 3d image (a stack of 1600 images), I had to save the info in two 1800*1800*800 matrices (because of memory), both matrices are sparse matrices (density~0.02) _ is there anyway to use bwconncomp in 3d for the 3d image (combination of matrices)? if not whats the best way to identify the objects and characterize them?

[Brahim Mehadji]

Hello B, I have the same issue than you. Did you found a solution ? I would be very interrested. My email is [e-mail].

Thanks

Answer 1

[Nut]

Hi,

I think the example in the documentation may be what you are looking for. Please, find the "Calculate Centroids of 3-D Objects" example among the ones proposed here:

http://it.mathworks.com/help/images/ref/bwconncomp.html

Is this what you want? For more properties, try also the "regionprops" function, look at its "Properties". As you can see, some properties work with N-D matrices:

http://it.mathworks.com/help/images/ref/regionprops.html#inputarg_properties