This book discusses the basic geometric contents of an image and
presents a
treedatastructuretohandleite?ciently.Itanalyzesalsosomemorphological
operators that simplify this geometric contents and their implementation
in termsofthe
datastructuresintroduced.It?nallyreviewsseveralapplications to image
comparison and registration, to edge and corner computation, and the
selection of features associated to a given scale in images. Let us ?rst
say that, to avoid a long list, we shall not give references in this
summary; they are obviously contained in this monograph. A gray level
image is usually modeled as a function de?ned in a bounded N domain D? R
(typically N = 2 for usual snapshots, N=3formedical images or movies)
with values in R. The sensors of a camera or a CCD array transform the
continuum of light energies to a ?nite interval of values by means of a
nonlinear function g. The contrast change g depends on the pr-
ertiesofthesensors, butalsoontheilluminationconditionsandthere?ection
propertiesofthe objects, andthoseconditionsaregenerallyunknown.Images
are thus observed modulo an arbitrary and unknown contrast chang