Conference Information

DGMM 2024: International Conference on Discrete Geometry and Mathematical Morphology

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Submission Date:
2023-09-23
Notification Date:
2023-12-23
Conference Date:
2024-04-15
Location:
Florence, Italy
Years:
3
Viewed: 7466   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

39.5 / 100
Ranked #5,153 of 5,682 conferences · Top 91%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
37
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

DGMM 2024 (International Conference on Discrete Geometry and Mathematical Morphology) is an academic conference held in Florence, Italy on 2024-04-15. The paper submission deadline is 2023-09-23. Acceptance notifications are sent on 2023-12-23.

Topics Main topics of interest include (but are not limited to): Discrete Geometry and Combinatorial Topology: grids, discrete objects, discrete model properties, digitization schemes, geometric transforms, metrics and distance transformation, skeletons, discrete tomography. Image Segmentation and Discrete Shape Analysis: watershed segmentation, hierarchical segmentation, color and multi-channel image segmentation, texture segmentation, discrete and combinatorial tools for segmentation and analysis, discrete shape representation, recognition and analysis, clustering of spatial data. 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. Random sets Theory and Geometrical Probability: Boolean model for sets and functions, stochastic simulation of random media. (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. Computational Mathematical Morphology and Discrete Geometry: algorithms, architectures, data structures and programming paradigms for efficient implementation of morphological and discrete geometric operators and tools. Applications: astronomy, geosciences and remote sensing, (bio)medical imaging, material science, data analysis, document processing, content-based information retrieval, video surveillance, industrial control, visualization. Accepted papers will be included in the conference proceedings, published in the Lecture Notes in Computer Science series by Springer.
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