@article {IOPORT.05118155,
    author       = {Velten, J. and Kummert, A.},
    title        = {A multi-dimensional systems theory framework for binary mathematical morphology.},
    year         = {2006},
    journal      = {Multidimensional Systems and Signal Processing},
    volume       = {17},
    number       = {2-3},
    issn         = {0923-6082},
    pages        = {211-217},
    publisher    = {Springer, Norwell, MA},
    doi          = {10.1007/s11045-005-6229-2},
    abstract     = {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.},
    identifier   = {05118155},
}