Mathematical Morphology and Its Applications to Signal and Image Processing

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

Nonfiction, Computers, Database Management, Data Processing, Application Software, Computer Graphics, General Computing
Cover of the book Mathematical Morphology and Its Applications to Signal and Image Processing by , Springer International Publishing
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Author: ISBN: 9783319572406
Publisher: Springer International Publishing Publication: April 7, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319572406
Publisher: Springer International Publishing
Publication: April 7, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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