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Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 1517, 2017, Proceedings 1st ed. 2017 [Pehme köide]

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  • Formaat: Paperback / softback, 500 pages, kõrgus x laius: 235x155 mm, kaal: 7723 g, 204 Illustrations, black and white; XIV, 500 p. 204 illus., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 10225
  • Ilmumisaeg: 12-Apr-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319572393
  • ISBN-13: 9783319572390
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  • Formaat: Paperback / softback, 500 pages, kõrgus x laius: 235x155 mm, kaal: 7723 g, 204 Illustrations, black and white; XIV, 500 p. 204 illus., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 10225
  • Ilmumisaeg: 12-Apr-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319572393
  • ISBN-13: 9783319572390
Teised raamatud teemal:
This book contains the refereed proceedings of the 13th International Symposium on Mathematical Morphology, ISMM 2017, held in Fontainebleau, France, in May 2017.

The 36 revised full papers presented together with 4 short papers were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on algebraic theory, max-plus and max-min mathematics; discrete geometry and discrete topology; watershed and graph-based segmentation; trees and hierarchies; topological and graph-based clustering, classification and filtering; connected operators and attribute filters; PDE-based morphology; scale-space representations and nonlinear decompositions; computational morphology; object detection; and biomedical, material science and physical applications.

Algebraic Theory, Max-Plus and Max-Min Mathematics.- Discrete Geometry and Discrete Topology.- Watershed and Graph-based Segmentation.- Trees and Hierarchies.- Topological and Graph-based Clustering, Classification and Filtering.- Connected Operators and Attribute Filters.- PDE-based Morphology.- Scale-Space Representations and Nonlinear Decompositions.- Computational Morphology.- Object Detection.- Biomedical, Material Science and Physical Applications.