Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11564)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: ISMM 2019.
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Table of contents (41 papers)
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Discrete Topology and Tomography
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Multivariate Morphology
Other volumes
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Mathematical Morphology and Its Applications to Signal and Image Processing
Keywords
- artificial intelligence
- computer vision
- construction
- discrete geometry
- discrete topology
- graph theory
- image analysis
- image processing
- image reconstruction
- image segmentation
- machine learning
- mathematical morphology
- morphological operator
- neural networks
- optimization
- partial differential equations
- pattern recognition
- project management
- remote sensing
- software engineering
About this book
This book contains the refereed proceedings of the 14th International Symposium on Mathematical Morphology, ISMM 2019, held in Saarbrücken, Germany, in July 2019.
The 40 revised full papers presented together with one invited talk were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Theory, Discrete Topology and Tomography, Trees and Hierarchies, Multivariate Morphology, Computational Morphology, Machine Learning, Segmentation, Applications in Engineering, and Applications in (Bio)medical Imaging.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Morphology and Its Applications to Signal and Image Processing
Book Subtitle: 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings
Editors: Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-20867-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-20866-0Published: 31 May 2019
eBook ISBN: 978-3-030-20867-7Published: 19 June 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 19
Number of Illustrations: 388 b/w illustrations, 190 illustrations in colour
Topics: Image Processing and Computer Vision, Math Applications in Computer Science, Management of Computing and Information Systems, Software Engineering, Artificial Intelligence