Valentin E. Brimkov – författare

This book constitutes the refereed proceedings of the 20th International Workshop on Combinatorial Image Analysis, IWCIA 2020, held in Novi Sad, Serbia, in July 2020.

The 20 full papers presented were carefully reviewed and selected from 23 submissions. The papers are grouped into two sections. The first one includes twelve papers devoted to theoretical foundations of combinatorial image analysis, including digital geometry and topology, array grammars, picture languages, digital tomography, and other technical tools for image analysis. The second part includes eight papers presenting application-driven research on topics such as image repairing, annotation of images, image reconstruction, forgery detection, and dealing with noise in images.

The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers are grouped into four sections.

The first one consists of one invited talk. The second section contains seven papers devoted to digital geometry and topology. The third part consists of six papers discussing picture languages. The last part, including six papers, is devoted to various applications. We believe that many of these papers would be of interest to a broader audience, including researchers in scientific areas such as computer vision, shape modeling, pattern analysis and recognition, and computer graphics.

This book constitutes the refereed joint proceedings of the 18th International Symposium on Artificial Intelligence and Mathematics, ISAIM 2024, and the 22nd International Workshop on Combinatorial Image Analysis, IWCIA 2024, held in Fort Lauderdale, FL, USA, during January 8–10, 2024.

The 14 full papers presented were carefully reviewed and selected from 25 submissions. The papers cover topics from AI, theoretical computer science, mathematics, medicine, robotics, defense, and security.

This volume constitutes the refereed proceedings of the17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, heldin Kolkata, India, in November 2015.

The 24 revised full papers and 2 invited papers presentedwere carefully reviewed and selected from numerous submissions. The workshopprovides theoretical foundations and methods for solving problems from variousareas of human practice. In contrast to traditional approaches to imageanalysis 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 ofclasses of digital images, and often appear to be more efficient and accuratethan those based on continuous models.

The 18 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 30 submissions. The papers cover the following topics: theoretical contributions and application-driven contributions.