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Home > 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 > Sequential Projection Selection Methods for Binary Tomography
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 |
Reneta P. Barneva; Valentin E. Brimkov; Piotr Kulczycki; João Manuel R. S. Tavares
Springer International Publishing
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
Sequential Projection Selection Methods for Binary Tomography
Authors

Gábor Lékó; Péter Balázs

ARI Id

1665185761500_5209460

Access

Not Available Free

Pages

70-81

DOI

10.1007/978-3-030-20805-9_7

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-20805-9_7

Table of Contents of Book
Showing 1 to 20 of 20 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xii
Front Matter
1-1
Endpoint-Based Thinning with Designating Safe Skeletal Points
Kálmán Palágyi; Gábor Németh
3-15
Structuring Digital Plane by Closure Operators Associated with n-ary Relations
Josef Slapal
16-22
Maximal P-simple Sets on (8, 4) Pictures
Péter Kardos; Kálmán Palágyi
23-32
An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds
László Kudela; Stefan Kollmannsberger; Ernst Rank
33-41
Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns
Pawan Kumar Patnaik; Venkata Padmavati Metta; Jyoti Singh; D. G. Thomas
42-55
Multimaterial Tomography: Reconstruction from Decomposed Projection Sets
László G. Varga
56-69
Sequential Projection Selection Methods for Binary Tomography
Gábor Lékó; Péter Balázs
70-81
Variants of Simulated Annealing for Strip Constrained Binary Tomography
Judit Szűcs; Péter Balázs
82-92
Front Matter
93-93
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.
95-107
Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI
Mohan Jayatilake; Teresa Gonçalves; Luís Rato
108-119
Recognizing Emotions with EmotionalDAN
Ivona Tautkute; Tomasz Trzciński; Adam Bielski
120-128
Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms
Alberto Arturo Vergani; Samuele Martinelli; Elisabetta Binaghi
129-144
Applicability of Deep Learned vs Traditional Features for Depth Based Classification
Fabio Bracci; Mo Li; Ingo Kossyk; Zoltan-Csaba Marton
145-159
Effect of Image View for Mammogram Mass Classification – An Extreme Learning Based Approach
Sk. Md. Obaidullah; Sajib Ahmed; Teresa Gonçalves
160-172
Fast Object Detector Based on Convolutional Neural Networks
Karol Piaskowski; Dominik Belter
173-185
Applying Computational Geometry to Designing an Occlusal Splint
Dariusz Pojda; Agnieszka Anna Tomaka; Leszek Luchowski; Krzysztof Skabek; Michał Tarnawski
186-200
Back Matter
201-201
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 20 entries
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