ISMM 2019 : International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing

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ISMM 2019 – 14th International Symposium on Mathematical Morphology

Saarland University, Saarbrücken, Germany

July 8–10, 2019

http://ismm.uni-saarland.de/

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The International Symposium on Mathematical Morphology (ISMM) has established

itself as the main scientific event in the field. We will be delighted to host

the 14th International Symposium on Mathematical Morphology (ISMM 2019) at the

Saarland University in Saarbrücken, Germany. The goal of the conference is to

bring together researchers, students, and practitioners of mathematical

morphology and related methodologies, to present and discuss new advances in

the field, be they purely theoretical developments or novel applications.

Proceedings

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Proceedings will be published in Springer’s Lecture Notes in Computer Science

series (LNCS).

Main topics of interest include (but are not limited to)

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• Algebraic Theory: Morphology on complete lattices and semilattices,

Representation of morphological operators, Fuzzy morphology, Connected

operators, Morphology on graphs, Morphology on Surface Meshes and Riemannian

manifolds.

• Nonlinear Scale Space Theory: Morphological decompositions, Morphological

PDEs, Level set methods, Morphological wavelets, Morphological regularization.

• Discrete Geometry and Combinatorial Topology: Grids, discrete objects,

discrete model properties, digitization schemes, metrics and distance

transformation, skeletons, discrete tomography, etc.

• Random sets Theory and Geometrical Probability: Boolean model for sets and

functions, Stochastic simulation of random media, etc.

• (max,+) Mathematics and Idempotent Analysis for Image and Signal Processing.

• Image Filtering: Color and multi-channel morphology, Morphology on tensor

fields, Geodesic transformations, Adaptive morphology, Attribute filtering.

• Image Segmentation: Watershed segmentation, Hierarchical segmentation, Color

and multi-channel image segmentation, Texture segmentation, Clustering of

spatial data.

• Computational Mathematical Morphology: Algorithms, Architectures, Data

structures and programming paradigms for efficient implementation of

morphological operators.

• Applications: Astronomy, Geosciences and remote sensing, (Bio)medical imaging,

Materials science, Data analysis, Document processing, Content-based information

retrieval, Video surveillance, Industrial control, Visualization, etc.

Important dates

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• Submission deadline: December 1st 2018

• Notification of acceptance: March 1st 2019

• Camera ready paper: April 1st 2019

• Conference: July 8–10, 2019

Organizing Committee

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• Bernhard Burgeth, Saarland University, burgeth@math.uni-sb.de

• Andreas Kleefeld, Forschungszentrum Jülich, a.kleefeld@fz-juelich.de

• Benoît Naegel, Strasbourg University, b.naegel@unistra.fr

• Nicolas Passat, Reims Champagne-Ardenne University, nicolas.passat@univ-reims.fr

• Benjamin Perret, ESIEE-Paris, benjamin.perret@esiee.fr