ShopSpell

Discrete Geometry and Mathematical Morphology: First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 2427, 2021, Proceedings [Paperback]

$41.99     $54.99   24% Off      (Free Shipping)
100 available
  • Category: Books (Computers)
  • ISBN-10:  303076656X
  • ISBN-10:  303076656X
  • ISBN-13:  9783030766566
  • ISBN-13:  9783030766566
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  303076656X-11-SPRI
  • SKU:  303076656X-11-SPRI
  • Pages:  552
  • Pages:  552
  • Item ID: 105243964
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 17 to Oct 19
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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.

Invited papers.- Some Open Questions on Morphological Operators and Representations in the Deep Learning Era.- Split Trees -A Unifying Model For Many Important Random Trees Of Logarithmic Height: A Brief Survey.- On topological analysis of cells organization in biological images.- Applications in Image Processing, Computer Vision, and Pattern Recognition.- A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation.- Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation.- Automatic forest road extraction from LiDAR data of mountainous areas.- Fast Pattern Spectra using Tree Representation of the Image for Patch Retrieval.- Watershed-based attribute profiles for pixel classification of remote sensing data.- Discrete and Combinatorial Topology.- Completions, perforationlĂ
Add Review