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

• Main Authors: Lindblad, Joakim, Malmberg, Filip, Sladoje, Natasa
• Format: eBook Conference Proceeding Book
• Language: English
• Published: Cham Springer Nature 2021; Springer International Publishing AG; Springer International Publishing
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Combinatorial geometry; Combinatorial geometry-Congresses; Computer Applications; Computer Communication Networks; Computer Imaging, Vision, Pattern Recognition and Graphics; computer networks computer systems databases fuzzy sets geometry graph theory image analysis image processing image quality image reconstruction machine learning mathematical morphology matrix algebra network protocols neural networks object recognition pattern recognition signal processing telecommunication systems; Computer Science; Computerized Image Processing; Datoriserad bildbehandling; Discrete geometry-Congresses; Machine Learning; Matematik; Mathematics; Mathematics of Computing; Special computer methods
• ISBN: 9783030766573; 3030766578; 303076656X; 9783030766566
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-76657-3

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.