Fix large volumes.
Meijster euclidean feature transform.
Merges 3 feature transform to reduce memory usage from 10 to 8 B/vx.
Removes x2 evaluation from threshold (not required for feature transform
anymore).
Transpose data on feature transform for better data access, handle
margins.
Stripes FTx.
Stripes Y pass.
Stripes Z pass.
Parallel feature transform.
By avoiding distance storage, this feature transform (based on Meijster)
is 60% faster than PBEDT and use needs 10B/vx instead of 18B/vx (40%
less memory).
Fix 32bit overflow on Volume->Volume crop.