id: 05118155
dt: j
an: 05118155
au: Velten, J.; Kummert, A.
ti: A multi-dimensional systems theory framework for binary mathematical
    morphology.
so: Multidimensional Syst. Signal Process. 17, No. 2-3, 211-217 (2006).
py: 2006
pu: Springer, Norwell, MA
la: EN
cc: 
ut: binary mathematical morphology; binary image processing; binary object
    recognition; nonlinear motion estimation; industrial KD signal
    processing; morphological filter
ci: 
li: doi:10.1007/s11045-005-6229-2
ab: Summary: Binary mathematical morphology is a set theoretical approach to
    multidimensional signal processing. It enables extraction of shape
    features and is thus a well known and successfully applied kind of
    operation for image processing and recognition tasks. Nevertheless, a
    system theoretical treatment of these operations seems to be difficult,
    due to its mathematical origin of integral geometry. A system
    theoretical description of binary mathematical morphology is given in
    the present paper that allows to design realizations of binary
    morphological operations following methods from classical linear
    systems theory in a very favorable way. The advantage of the proposed
    correspondence description is exemplary shown in the development of a
    matching technique for shape varying object clusters.
rv: