
Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9448)
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 2015.
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About this book
This volume constitutes the refereed proceedings of the 17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, held in Kolkata, India, in November 2015.
The 24 revised full papers and 2 invited papers presented were carefully reviewed and selected from numerous submissions. The workshop provides theoretical foundations and methods for solving problems from various areas of human practice. In contrast to traditional approaches to image analysis which implement continuous models, float arithmetic and rounding, combinatorial image analysis features discrete modelsusing integer arithmetic. The developed algorithms are based on studying combinatorial properties of classes of digital images, and often appear to be more efficient and accurate than those based on continuous models.
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Keywords
- 3D imaging
- Design and analysis of algorithms
- Image processing
- Object recognition
- Visualization
- Combinatorial algorithms
- Combinatorial problems
- Context-free grammars
- Digital objects
- Discrete topology
- General conference proceedings
- Geometry and discrete structures
- Image segmentation
- Mesh geometry models
- Number theory
- Object identification
- Parametric curve and surface models
- Shape analysis
- Video processing
- Volumetric models
Table of contents (26 papers)
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Invited Talk
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Theoretical Foundations of Combinatorial Image Analysis – Digital Geometry and Topology
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Theoretical Foundations of Combinatorial Image Analysis – Grammars and Other Formal Tools
Other volumes
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Combinatorial Image Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Combinatorial Image Analysis
Book Subtitle: 17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings
Editors: Reneta P. Barneva, Bhargab B. Bhattacharya, Valentin E. Brimkov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-26145-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-26144-7Published: 04 November 2015
eBook ISBN: 978-3-319-26145-4Published: 05 January 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 363
Number of Illustrations: 177 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science