11^th International Symposium
on Mathematical Morphology

May 27–29 2013, Uppsala, Sweden

• Table of Contents
  • News
  • About ISMM
  • Important dates
  • Programme
  • Invited speakers
  • Social
  • Venue
  • Travel
  • Accomodation
  • Committees
  • Sponsors
  • Contact

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  • Paper submission
  • Registration

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About ISMM

Mathematical Morphology can be defined as a discipline for the analysis of spatial structures. It is called morphology because the analysis concentrates on the shape, form, and neighbourhood relations of these structures. It is mathematical because it relies on set theory (with emphasis on lattice theory), geometry, and topology. Mathematical Morphology offers to practitioners a wide range of effective methods and efficient algorithms for analysing digital images and other forms of spatial data.

The International Symposium on Mathematical Morphology (ISMM) has established itself as the main scientific event in the field. This edition of ISMM will be the eleventh in the series initiated in 1993 in Barcelona, and has never been this far North before. The goal of the conference is to bring together researchers, students, and practitioners of Mathematical Morphology, to present and discuss new advances in the field, be they purely theoretical developments or novel applications.

Main topics of interest

• Theory: Morphology on complete lattices and semilattices, Representation of morphological operators, Fuzzy morphology, Connectivity theory, Connected operators, Morphology on graphs.
• Filtering: Colour and multi-channel morphology, Geodesic transformations, Adaptive morphology, Attribute filtering, Image simplification.
• Segmentation: Watershed segmentation, Hierarchical segmentation, Colour image segmentation, Texture segmentation, Clustering of spatial data.
• Geometry and Topology: Discrete geometry, Metrics and distance transforms, Random sets and geometrical probability, Shape analysis.
• Algorithms and Architectures: Efficient implementations, Data structures for morphology, Performance evaluation of algorithms, GPU implementations.
• Related methodology: Level set methods, Morphological PDEs, Wavelets, Scale spaces.
• Applications: Geoscience and remote sensing, Biomedical imaging, Materials science, Data analysis, Document processing, Content-based information retrieval, Video surveillance, Industrial control, Visualisation, etc.

Copyright ISMM 2013 Organizing Committee, all rights reserved.