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Mathematical Morphology and Its Application to Signal and Image Processing - 9th International Symposium on Mathematical Morphology, ISMM 2009 Groningen, The Netherlands, August 24-27, 2009 Proceedings (Paperback, 2009 ed.)
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Mathematical Morphology and Its Application to Signal and Image Processing - 9th International Symposium on Mathematical Morphology, ISMM 2009 Groningen, The Netherlands, August 24-27, 2009 Proceedings (Paperback, 2009 ed.)
Series: Lecture Notes in Computer Science, 5720
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The 9th ISMM conference covered a very diverse collection of
papers, bound together by the central themes of mathematical
morphology, namely, the tre- ment of images in terms of set and
lattice theory. Notwithstanding this central theme, this ISMM
showed increasing interaction with other ?elds of image and signal
processing, and several hybrid methods were presented, which
combine the strengths of traditional morphological methods with
those of, for example, linear ?ltering.This trendis
particularlystrong in the emerging?eld of adaptive morphological
?ltering, where the local shape of structuring elements is det-
mined by non-morphological techniques. This builds on previous
developments of PDE-based methods in morphology and amoebas. In
segmentation we see similar advancements, in the development of
morphological active contours. Even within morphology itself,
diversi?cation is great, and many new areas of research are being
opened up. In particular, morphology of graph-based and
complex-based image representations are being explored. Likewise,
in the we- established area of connected ?ltering we ?nd new theory
and new algorithms, but also expansion into the direction of
hyperconnected ?lters. New advances in morphological machine
learning, multi-valued and fuzzy morphology are also presented.
Notwithstanding the often highly theoretical reputation of
mathematical morphology, practitioners in this ?eld have always had
an eye for the practical.
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