Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

ISBN-10:
3319572393
ISBN-13:
9783319572390
Pub. Date:
05/17/2017
Publisher:
Springer International Publishing
ISBN-10:
3319572393
ISBN-13:
9783319572390
Pub. Date:
05/17/2017
Publisher:
Springer International Publishing
Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

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Overview

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.


Product Details

ISBN-13: 9783319572390
Publisher: Springer International Publishing
Publication date: 05/17/2017
Series: Lecture Notes in Computer Science , #10225
Edition description: 1st ed. 2017
Pages: 500
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.

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