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Mathematical Morphology and Its Applications to Signal and Image Processing

13th International Symposium, ISMM 2017, Fontainebleau, France, May 15–17, 2017, Proceedings

Parametry

  • 514 stron
  • 18 godzin czytania

Więcej o książce

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.

Zakup książki

Mathematical Morphology and Its Applications to Signal and Image Processing, Jesús Angulo

Język
Rok wydania
2017
Oprawa
(miękka)
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Tytuł
Mathematical Morphology and Its Applications to Signal and Image Processing
Podtytuł
13th International Symposium, ISMM 2017, Fontainebleau, France, May 15–17, 2017, Proceedings
Język
angielski
Wydawca
Springer
Rok wydania
2017
Oprawa
miękka
Liczba stron
514
ISBN10
3319572393
ISBN13
9783319572390
Seria
Tagi
Opis
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.