Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11414)
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 2019.
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Table of contents (38 papers)
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Front Matter
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Discrete Geometric Models and Transforms
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Front Matter
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Graph-Based Models, Analysis and Segmentation
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Front Matter
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About this book
This book constitutes the thoroughly refereed proceedings of the 21st IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2019, held in Marne-la-Vallée, France, in March 2019.
The 38 full papers were carefully selected from 50 submissions. The papers are organized in topical sections on discrete geometric models and transforms; discrete topology; graph-based models, analysis and segmentation; mathematical morphology; shape representation, recognition and analysis; and geometric computation.
Editors and Affiliations
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Université Paris Est, LIGM, CNRS - ENPS - ESIEE Paris - UPEM, Noisy-le-Grand, France
Michel Couprie, Jean Cousty, Yukiko Kenmochi, Nabil Mustafa
Bibliographic Information
Book Title: Discrete Geometry for Computer Imagery
Book Subtitle: 21st IAPR International Conference, DGCI 2019, Marne-la-Vallée, France, March 26–28, 2019, Proceedings
Editors: Michel Couprie, Jean Cousty, Yukiko Kenmochi, Nabil Mustafa
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-14085-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-14084-7Published: 23 February 2019
eBook ISBN: 978-3-030-14085-4Published: 19 March 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 496
Number of Illustrations: 551 b/w illustrations, 141 illustrations in colour
Topics: Computer Graphics, Image Processing and Computer Vision, Pattern Recognition, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity