Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10256)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: IWCIA 2017.
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Table of contents (27 papers)
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Theoretical Foundations: Discrete Geometry and Topology, Tilings and Patterns, Grammars, Models, and Other Technical Tools for Image Analysis
Other volumes
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Combinatorial Image Analysis
Keywords
- digital geometry
- image processing
- machine vision
- natural language processing
- parallelism
- classification
- discrete geometry
- feature extraction
- finite automata
- image segmentation
- imaging in natural sciences
- imaging in social sciences
- integer programming
- medical imaging
- object-matching
- pattern complexity
- set theory
- shape modeling
- statistical analysis
- swarm intelligence
About this book
The workshop is organized in topical sections of theoretical foundations and theory of applications, namely: discrete geometry and topology; tilings and patterns; grammars, models and other technical tools for image analysis; image segmentation, classification; reconstruction; compression; texture analysis; bioimaging.
Editors and Affiliations
Bibliographic Information
Book Title: Combinatorial Image Analysis
Book Subtitle: 18th International Workshop, IWCIA 2017, Plovdiv, Bulgaria, June 19-21, 2017, Proceedings
Editors: Valentin E. Brimkov, Reneta P. Barneva
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59108-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59107-0Published: 17 May 2017
eBook ISBN: 978-3-319-59108-7Published: 15 May 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 357
Number of Illustrations: 147 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science