© 2015

Combinatorial Image Analysis

17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings

  • Reneta P. Barneva
  • Bhargab B. Bhattacharya
  • Valentin E. Brimkov
Conference proceedings IWCIA 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9448)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9448)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Invited Talk

  3. Theoretical Foundations of Combinatorial Image Analysis – Digital Geometry and Topology

    1. Front Matter
      Pages 19-19
    2. Gabor T. Herman, T. Yung Kong, Krzysztof Chris Ciesielski
      Pages 21-30
    3. Kálmán Palágyi, Gábor Németh, Péter Kardos
      Pages 31-45
    4. Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Belen Medrano
      Pages 61-70
    5. Ranita Biswas, Partha Bhowmick, Valentin E. Brimkov
      Pages 86-100
    6. Rita Zrour, Gaelle Largeteau-Skapin, Eric Andres
      Pages 101-114
    7. Mousumi Dutt, Arindam Biswas, Benedek Nagy
      Pages 115-124
    8. Nilanjana Karmakar, Arindam Biswas
      Pages 125-142
    9. Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson
      Pages 143-156
    10. Eric Andres, Dimitri Ouattara, Gaelle Largeteau-Skapin, Rita Zrour
      Pages 157-171
    11. Apurba Sarkar, Mousumi Dutt
      Pages 172-184
  4. Theoretical Foundations of Combinatorial Image Analysis – Grammars and Other Formal Tools

    1. Front Matter
      Pages 185-185
    2. K. G. Subramanian, M. Geethalakshmi, N. Gnanamalar David, Atulya K. Nagar
      Pages 187-201
    3. Henning Fernau, Meenakshi Paramasivan, Markus L. Schmid, D. Gnanaraj Thomas
      Pages 202-216
    4. V. Masilamani, D. K. Sheena Christy, D. G. Thomas, A. K. Nagar, T. Robinson
      Pages 217-231

About these proceedings


This volume constitutes the refereed proceedings of the 17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, held in Kolkata, India, in November 2015.

The 24 revised full papers and 2 invited papers presented were carefully reviewed and selected from numerous submissions. The workshop provides theoretical foundations and methods for solving problems from various areas of human practice. In contrast to traditional approaches to image analysis which implement continuous models, float arithmetic and rounding, combinatorial image analysis features discrete modelsusing integer arithmetic. The developed algorithms are based on studying combinatorial properties of classes of digital images, and often appear to be more efficient and accurate than those based on continuous models.


3D imaging Design and analysis of algorithms Image processing Object recognition Visualization Combinatorial algorithms Combinatorial problems Context-free grammars Digital objects Discrete topology General conference proceedings Geometry and discrete structures Image segmentation Mesh geometry models Number theory Object identification Parametric curve and surface models Shape analysis Video processing Volumetric models

Editors and affiliations

  • Reneta P. Barneva
    • 1
  • Bhargab B. Bhattacharya
    • 2
  • Valentin E. Brimkov
    • 3
  1. 1.SUNY FredoniaFredoniaUSA
  2. 2.Advanced Computing and MicroelectronicsIndian Statistical InstituteKolkataGermany
  3. 3.SUNY Buffalo StateBuffaloUSA

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