• 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:

Geosciences and remote sensing, Biomedical imaging, Materials science, Data analysis, Document processing, Content-based information retrieval, Video surveillance, Industrial control, Visualization, etc.