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.
