Conference Information

IWCIA 2025: International Workshop on Combinatorial Image Analysis

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Submission Date:
Notification Date:
Conference Date:
2025-09-24
Location:
Szeged, Hungary
Years:
23
ICORE: C   Viewed: 807   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

53.2 / 100
Ranked #1,039 of 5,687 conferences · Top 19%

#43 of 246 in Computer Vision & Pattern Recognition #55 of 142 in Theory & Algorithms

Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
86
Community attention (10%)
5
Public record completeness (15%)
35

Inputs used: Listed as ICORE C · Editions on record: 23 · Researchers who opened this page in the past 24 months: 1

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 80% - 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 2026-09-30

Call For Papers

IWCIA 2025 (International Workshop on Combinatorial Image Analysis) is a ICORE C conference held in Szeged, Hungary on 2025-09-24.

Scope Image analysis is a scientific discipline providing theoretical foundations and methods for solving problems appearing in a wide range of areas, as diverse as medicine, robotics, defense, and security. As a rule, the processed data are discrete; therefore, the “discrete approach” to image analysis appears to be a natural one and has an increasing importance. It is based on studying combinatorial properties of the considered digital data sets. Combinatorial image analysis often features various advantages (in terms of efficiency and accuracy) over the more traditional approaches based on continuous models requiring numeric computation. The Workshop is a forum for current research on the following (or similar) research subjects which are directly or potentially applicable to image analysis: Combinatorial problems in the discrete plane and space Lattice polygons and polytopes Digital/combinatorial geometry and topology Digital manifolds Geometry of digital curves and surfaces Analysis and processing of digital surfaces with singularities (such as “pinched digital surfaces”) Homotopy of digital manifolds; thinning algorithms and skeletons Boundary tracking of digital solids; Geometric characteristics of object boundaries Multigrid convergence analysis of metric-based descriptors Tilings and patterns; Combinatorial pattern matching Computational geometry and imaging sciences Integer programming, linear programming, and graph theoretic models and approaches to problems of image analysis Image representation, segmentation, grouping, and reconstruction Processing “very large” digital pictures; Methods for image compression Parallel architectures and algorithms Fuzzy and stochastic image analysis Discrete tomography Grammars and models for image or scene analysis and recognition; cellular automata Mathematical morphology and image analysis Applications in medical imaging, biometrics, computer vision, image understanding, robotics, metrology, and others AI and machine learning in imaging and image analysis The submitted papers are expected to meet high standards satisfying serious evaluation criteria. Each paper will be reviewed thoroughly by at least two members of the Program Committee. Double-blind review process will be applied to ensure maximal objectiveness.
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