Discrete Geometry and Mathematical Morphology | First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings

Joakim Lindblad (u. a.)

ISBN 10: 303076656X / ISBN 13: 9783030766566

Published by Springer, 2021

About this Item

Discrete Geometry and Mathematical Morphology | First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings | Joakim Lindblad (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2021 | Springer | EAN 9783030766566 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 119917921

Bibliographic Details

• Title: Discrete Geometry and Mathematical Morphology | First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings
• Publisher: Springer
• Publication Date: 2021
• Language: English
• ISBN 10: 303076656X
• ISBN 13: 9783030766566
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 31D millimeters 235 millimeters width by 155 millimeters height by 31 millimeters depth
• Weight: 850 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book constitutes the proceedings of the First IAPR International Conference on Discrete Geometry and Mathematical Morphology, DGMM 2021, which was held during May 24-27, 2021, in Uppsala, Sweden.

The conference was created by joining the International Conference on Discrete Geometry for computer Imagery, DGCI, with the International Symposium on Mathematical Morphology, ISMM.

The 36 papers included in this volume were carefully reviewed and selected from 59 submissions. They were organized in topical sections as follows: applications in image processing, computer vision, and pattern recognition; discrete and combinatorial topology; discrete geometry - models, transforms, visualization; discrete tomography and inverse problems; hierarchical and graph-based models, analysis and segmentation; learning-based approaches to mathematical morphology; multivariate and PDE-based mathematical morphology, morphological filtering.

The book also contains 3 invited keynote papers.