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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2–5, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Reneta P. Barneva

    1. State University of New York at Fredonia, Fredonia, USA

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  2. Valentin E. Brimkov

    1. SUNY Buffalo State College, Buffalo, USA

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  3. Piotr Kulczycki

    1. AGH University of Science and Technology, Cracow, Poland

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  4. João Manuel R. S. Tavares

    1. University of Porto, Porto, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10986)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CompIMAGE 2018.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xii
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  2. Theoretical Foundations of Computer Imaging

    1. Front Matter

      Pages 1-1
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    2. Endpoint-Based Thinning with Designating Safe Skeletal Points

      • Kálmán Palágyi, Gábor Németh
      Pages 3-15

    3. Structuring Digital Plane by Closure Operators Associated with n-ary Relations

      • Josef Slapal
      Pages 16-22

    4. Maximal P-simple Sets on (8,4) Pictures

      • Péter Kardos, Kálmán Palágyi
      Pages 23-32

    5. An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds

      • László Kudela, Stefan Kollmannsberger, Ernst Rank
      Pages 33-41

    6. Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns

      • Pawan Kumar Patnaik, Venkata Padmavati Metta, Jyoti Singh, D. G. Thomas
      Pages 42-55

    7. Multimaterial Tomography: Reconstruction from Decomposed Projection Sets

      • László G. Varga
      Pages 56-69

    8. Sequential Projection Selection Methods for Binary Tomography

      • Gábor Lékó, Péter Balázs
      Pages 70-81

    9. Variants of Simulated Annealing for Strip Constrained Binary Tomography

      • Judit Szűcs, Péter Balázs
      Pages 82-92

  3. Methods and Applications

    1. Front Matter

      Pages 93-93
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    2. Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos

      • Melinda Katona, Tünde Tőkés, Emília Rita Szabó, Szilvia Brunner, Imre Zoltán Szabó, Róbert Polanek et al.
      Pages 95-107

    3. Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI

      • Mohan Jayatilake, Teresa Gonçalves, Luís Rato
      Pages 108-119

    4. Recognizing Emotions with EmotionalDAN

      • Ivona Tautkute, Tomasz Trzciński, Adam Bielski
      Pages 120-128

    5. Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms

      • Alberto Arturo Vergani, Samuele Martinelli, Elisabetta Binaghi
      Pages 129-144

    6. Applicability of Deep Learned vs Traditional Features for Depth Based Classification

      • Fabio Bracci, Mo Li, Ingo Kossyk, Zoltan-Csaba Marton
      Pages 145-159

    7. Effect of Image View for Mammogram Mass Classification – An Extreme Learning Based Approach

      • Sk. Md. Obaidullah, Sajib Ahmed, Teresa Gonçalves
      Pages 160-172

    8. Fast Object Detector Based on Convolutional Neural Networks

      • Karol Piaskowski, Dominik Belter
      Pages 173-185

    9. Applying Computational Geometry to Designing an Occlusal Splint

      • Dariusz Pojda, Agnieszka Anna Tomaka, Leszek Luchowski, Krzysztof Skabek, Michał Tarnawski
      Pages 186-200

  4. Back Matter

    Pages 201-201
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Other volumes

  1. Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

Keywords

About this book





This book constitutes the refereed post-conference proceedings of the 6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018, held in Cracow, Poland, in
July 2018.
The 16 revised full papers presented in this book were carefully reviewed and selected from 30 submissions. The papers cover the following topics: digital geometry; digital tomography; and methods and applications.

Editors and Affiliations

  • State University of New York at Fredonia, Fredonia, USA

    Reneta P. Barneva

  • SUNY Buffalo State College, Buffalo, USA

    Valentin E. Brimkov

  • AGH University of Science and Technology, Cracow, Poland

    Piotr Kulczycki

  • University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

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