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Resumen General

The International Workshop on Combinatorial Image Analysis (IWCIA 2025) will be held in a hybrid mode in Szeged, Hungary, from September 24-26, 2025. This workshop is the twenty-third in its series and focuses on the discrete approach to image analysis using combinatorial properties. Accepted papers will be published by Springer in Lecture Notes in Computer Science (LNCS).

Convocatoria

IWCIA 2025: Call for Papers

The International Workshop on Combinatorial Image Analysis (IWCIA 2025) is the twenty-third in its series and will be held in a hybrid mode with its base in Szeged, Hungary, from September 24-26, 2025.

Scope

IWCIA 2025 is a forum for current research on discrete approaches to image analysis, focusing on combinatorial properties of digital data. The workshop covers a wide range of research subjects relevant to image analysis, including:

  • 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
  • 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

Paper Submissions

Prospective authors are invited to submit original, unpublished work. Manuscripts must be prepared according to LNCS requirements and submitted electronically in PDF format using the Microsoft CMT platform.

  • Minimum Length: 10 pages.
  • Anonymity: Manuscripts may not contain information revealing authors’ identity (double-blind review process).
  • Review Criteria: Papers will be reviewed thoroughly with an emphasis on potential to contribute to the state-of-the-art, including mathematical depth, accuracy, originality, clarity, significance, and presentation quality.
  • Publication: Accepted papers will be published in a volume of the Lecture Notes in Computer Science (LNCS) series by Springer.
  • Copyright: The corresponding author must complete and sign a Consent-to-Publish form.
  • Registration: At least one regular or online author must register and pay the registration fee for the paper to be included in the proceedings.

Important Dates

  • Submission Open: 30 April, 2025
  • Submission Deadline: 30 June, 2025
  • Extended Submission Deadline: 15 July, 2025
  • Notification of Acceptance: Rolling basis (at most 4 weeks after submission), latest 17 August, 2025
  • Registration Open: 30 May, 2025
  • Revised Submission Deadline (Camera-ready version): 15 October, 2025
  • Registration Deadline: 7 September, 2025
  • IWCIA 2025 Workshop Dates: 24-26 September 2025

Fechas Importantes

Fechas del Congreso

Conference Date

24 de septiembre de 202526 de septiembre de 2025

Envío

Submission open

30 de abril de 2025

Extended submission deadline

15 de julio de 2025

Notificación

Notification of acceptance (on a rolling basis; 4 weeks after submission)

17 de agosto de 2025

Versión Final

Revised submission deadline (camera-ready version)

15 de octubre de 2025

Inscripción

Registration open

30 de mayo de 2025

Registration deadline

7 de septiembre de 2025

Clasificación de la Fuente

Fuente: CORE2023

Clasificación: C

Campo de Investigación: Computer vision and multimedia computation

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