DGMM 2027 invites submissions of original research on all aspects of discrete geometry and mathematical morphology, including their theoretical foundations and applications.

Proceedings will be published by Springer in the Lecture Notes in Computer Science (LNCS) series.

Topics of Interest

Topics include, but are not limited to:

Discrete and Combinatorial Geometry

• Discrete and combinatorial topology
• Digital surfaces, curves, and manifolds
• Discrete differential geometry
• Geometric transformations on discrete grids
• Reachability, homotopy, and connectedness

Mathematical Morphology

• Algebraic and set-theoretic foundations
• Morphological operators and filters (erosion, dilation, opening, closing, gradients)
• Hierarchical representations (trees of shapes, component trees, ultrametrics)
• Morphology on graphs, lattices, and non-Euclidean spaces
• Random models and stochastic morphology

Topology and Geometry for Image Analysis

• Topological persistence and homology
• Discrete Morse theory
• Watershed and segmentation algorithms
• Skeletonisation and thinning
• Shape description and recognition

Combinatorial Image Analysis

• Digital planes and hyperplanes
• Tilings and tessellations
• Discrete tomography and reconstruction

Applications

• Biomedical and microscopy image analysis
• Remote sensing and geoscience
• Document analysis and pattern recognition
• 3D shape analysis and point clouds
• Machine learning and deep learning with morphological layers