Mathematical Morphology and Its Applications to Signal and Image Processing

11th International Symposium, ISMM 2013, Uppsala, Sweden, May 27-29, 2013. Proceedings

  • Cris L. Luengo Hendriks
  • Gunilla Borgefors
  • Robin Strand
Conference proceedings ISMM 2013
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7883)

Table of contents

  1. Front Matter
  2. Theory

    1. Isabelle Bloch, Alain Bretto, Aurélie Leborgne
      Pages 1-12
    2. Lidija Čomić, Leila De Floriani, Federico Iuricich
      Pages 13-24
    3. Laurent Najman, Thierry Géraud
      Pages 37-48
    4. Joel Edu Sánchez Castro, Ronaldo Fumio Hashimoto, Junior Barrera
      Pages 61-72
  3. Trees and Hierarchies

    1. Edwin Carlinet, Thierry Géraud
      Pages 73-85
    2. Jean Cousty, Laurent Najman, Benjamin Perret
      Pages 86-97
    3. Thierry Géraud, Edwin Carlinet, Sébastien Crozet, Laurent Najman
      Pages 98-110
    4. Jiří Havel, François Merciol, Sébastien Lefèvre
      Pages 111-122
    5. Bangalore Ravi Kiran, Jean Serra
      Pages 123-134
    6. Laurent Najman, Jean Cousty, Benjamin Perret
      Pages 135-146
    7. Jean Serra, Bangalore Ravi Kiran
      Pages 147-158
    8. Olena Tankyevych, Hugues Talbot, Nicolas Passat
      Pages 159-170
  4. Adaptive Morphology

    1. Jesús Angulo, Santiago Velasco-Forero
      Pages 171-182
    2. Vladimir Ćurić, Cris L. Luengo Hendriks
      Pages 183-194
    3. Pulak Purkait, Bhabatosh Chanda
      Pages 195-206
    4. Andrés Serna, Beatriz Marcotegui
      Pages 207-218
    5. Santiago Velasco-Forero, Jesús Angulo
      Pages 219-230

About these proceedings

Introduction

This book contains the refereed proceedings of the 11th International Symposium on Mathematical Morphology, ISMM 2013 held in Uppsala, Sweden, in May 2013. The 41 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on theory; trees and hierarchies; adaptive morphology; colour; manifolds and metrics; filtering; detectors and descriptors; and applications.

Keywords

combinatorial optimization efficient algorithms geometric modeling hypergraphs spatial analysis

Editors and affiliations

  • Cris L. Luengo Hendriks
    • 1
  • Gunilla Borgefors
    • 1
  • Robin Strand
    • 1
  1. 1.Centre for Image AnalysisSwedish University of Agricultural Sciences and Uppsala UniversityUppsalaSweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-38294-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-38293-2
  • Online ISBN 978-3-642-38294-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349