Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13493)
Included in the following conference series:
Conference proceedings info: DGMM 2022.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (36 papers)
-
Discrete and Combinatorial Topology
-
Discrete Tomography and Inverse Problems
-
Multivariate and PDE-Based Mathematical Morphology, Morphological Filtering
Other volumes
-
Discrete Geometry and Mathematical Morphology
Keywords
- artificial intelligence
- computer systems
- computer vision
- correlation analysis
- geometry
- graph theory
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- machine learning
- mathematical morphology
- matrix algebra
- object recognition
- optimization problems
- pattern recognition
- signal processing
About this book
The 33 papers included in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: discrete and combinatorial topology; discrete tomography and inverse problems; multivariate and PDE-based mathematical morphology, morphological filtering; hierarchical and Graph-Based Models, Analysis and Segmentation; discrete geometry - models, transforms, and visualization; learning based morphology to Mathematical Morphology; and distance transform.
The book also contains 3 invited keynote papers.
Editors and Affiliations
Bibliographic Information
Book Title: Discrete Geometry and Mathematical Morphology
Book Subtitle: Second International Joint Conference, DGMM 2022, Strasbourg, France, October 24–27, 2022, Proceedings
Editors: Étienne Baudrier, Benoît Naegel, Adrien Krähenbühl, Mohamed Tajine
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-19897-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-19896-0Published: 21 October 2022
eBook ISBN: 978-3-031-19897-7Published: 20 October 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 475
Number of Illustrations: 51 b/w illustrations, 111 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Theory of Computation, Mathematics of Computing, Artificial Intelligence