Muutke küpsiste eelistusi

Mathematical Morphology and Its Applications to Signal and Image Processing: 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings 2019 ed. [Pehme köide]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 19 pages, kõrgus x laius: 235x155 mm, kaal: 848 g, 190 Illustrations, color; 388 Illustrations, black and white; XIV, 19 p. 578 illus., 190 illus. in color., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 11564
  • Ilmumisaeg: 31-May-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030208664
  • ISBN-13: 9783030208660
  • Pehme köide
  • Hind: 48,70 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 57,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 19 pages, kõrgus x laius: 235x155 mm, kaal: 848 g, 190 Illustrations, color; 388 Illustrations, black and white; XIV, 19 p. 578 illus., 190 illus. in color., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 11564
  • Ilmumisaeg: 31-May-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030208664
  • ISBN-13: 9783030208660
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.

Theory.- Discrete Topology and Tomography.- Trees and Hierarchies.- Multivariate Morphology.- Computational Morphology.- Machine Learning.- Segmentation.- Applications in Engineering.- Applications in (Bio)medical Imaging.