  We discuss the tests of nonGaussianity in CMB maps using morphological
statistics known as Minkowski functionals. As an example we test degree-scale
cosmic microwave background (CMB) anisotropy for Gaussianity by studying the
\qmask map that was obtained from combining the QMAP and Saskatoon data. We
compute seven morphological functions $M_i(\dt)$, $i=1,...,7$: six \mf and the
number of regions $N_c$ at a hundred $\dt$ levels. We also introduce a new
parameterization of the morphological functions $M_i(A)$ in terms of the total
area $A$ of the excursion set. We show that the latter considerably
decorrelates the morphological statistics and makes them more robust because
they are less sensitive to the measurements at extreme levels. We compare these
results with those from 1000 Gaussian Monte Carlo maps with the same sky
coverage, noise properties and power spectrum, and conclude that the \qmask map
is neither a very typical nor a very exceptional realization of a Gaussian
field. At least about 20% of the 1000 Gaussian Monte Carlo maps differ more
than the \qmask map from the mean morphological parameters of the Gaussian
fields.
