Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10502)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): DGCI: International Conference on Discrete Geometry for Computer Imagery
Conference proceedings info: DGCI 2017.
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Table of contents (31 papers)
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Front Matter
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Geometric Transforms
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Front Matter
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Discrete Tomography
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Front Matter
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Discrete Modelling and Visualization
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Front Matter
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About this book
The 28 revised full papers presented together with 3 invited talks were carefully selected from 36 submissions. The papers are organized in topical sections on geometric transforms; discrete tomography; discrete modeling and visualization; morphological analysis; discrete shape representation, recognition and analysis; discrete and combinatorial topology; discrete models and tools; models for discrete geometry.
Keywords
- Applied computing
- Computer vision
- Discrete and Combinatorial Topology
- Discrete Modeling and Visualization
- Discrete Models and Tools
- Discrete Shape Representation
- Discrete Tomography
- Geometric Transforms
- Image analysis
- Image processing
- Image segmentation
- Models for Discrete Geometry
- Morphological Analysis
- Pattern recognition
- Recognition and Analysis
- algorithm analysis and problem complexity
Editors and Affiliations
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TU Wien, Vienna, Austria
Walter G. Kropatsch, Nicole M. Artner, Ines Janusch
Bibliographic Information
Book Title: Discrete Geometry for Computer Imagery
Book Subtitle: 20th IAPR International Conference, DGCI 2017, Vienna, Austria, September 19 – 21, 2017, Proceedings
Editors: Walter G. Kropatsch, Nicole M. Artner, Ines Janusch
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-66272-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2017
Softcover ISBN: 978-3-319-66271-8Published: 22 August 2017
eBook ISBN: 978-3-319-66272-5Published: 01 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 400
Number of Illustrations: 171 b/w illustrations
Topics: Computer Graphics, Image Processing and Computer Vision, Pattern Recognition, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity, Arithmetic and Logic Structures
