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

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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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.

• image processing
• image reconstruction
• medical imaging
• digital geometry
• digital topology
• digital tomography
• image analysis
• image segmentation
• shape analysis
• shape modeling
• volumetric models
• computer graphics
• computer vision
• descriptors
• face recognition
• pattern recognition
• robotics

• 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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