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Mathematical Morphology and Its Applications to Signal and Image Processing

14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings

  • Bernhard Burgeth
  • Andreas Kleefeld
  • Benoît Naegel
  • Nicolas Passat
  • Benjamin Perret
Conference proceedings ISMM 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11564)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11564)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Theory

  3. Discrete Topology and Tomography

    1. Front Matter
      Pages 55-55
    2. Nicolas Boutry, Thierry Géraud, Laurent Najman
      Pages 57-68
    3. Daniel H. Chitwood, Mitchell Eithun, Elizabeth Munch, Tim Ophelders
      Pages 84-95
  4. Trees and Hierarchies

    1. Front Matter
      Pages 109-109
    2. Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot
      Pages 111-123
    3. Deise Santana Maia, Jean Cousty, Laurent Najman, Benjamin Perret
      Pages 124-136
    4. Deise Santana Maia, Jean Cousty, Laurent Najman, Benjamin Perret
      Pages 137-149
    5. Alexandre Morimitsu, Wonder Alexandre Luz Alves, Dennis José da Silva, Charles Ferreira Gobber, Ronaldo Fumio Hashimoto
      Pages 150-161
    6. Dennis José da Silva, Wonder Alexandre Luz Alves, Alexandre Morimitsu, Charles Ferreira Gobber, Ronaldo Fumio Hashimoto
      Pages 162-173
  5. Multivariate Morphology

    1. Front Matter
      Pages 175-175
    2. Martin Welk, Michael Breuß, Vivek Sridhar
      Pages 177-188
    3. Mohamad Jouni, Mauro Dalla Mura, Pierre Comon
      Pages 189-201
    4. Bernhard Burgeth, Stephan Didas, Andreas Kleefeld
      Pages 202-214
    5. Edwin Carlinet, Thierry Géraud
      Pages 215-227
  6. Computational Morphology

    1. Front Matter
      Pages 241-241
    2. Michael Godehardt, Dennis Mosbach, Diego Roldan, Katja Schladitz
      Pages 243-255
    3. Jiwoo You, Scott C. Trager, Michael H. F. Wilkinson
      Pages 256-267
    4. Xiaoxuan Zhang, Michael H. F. Wilkinson
      Pages 268-280
    5. Mohammad Babai, Ananda S. Chowdhury, Michael H. F. Wilkinson
      Pages 281-294
  7. Machine Learning

    1. Front Matter
      Pages 295-295
    2. Wonder Alexandre Luz Alves, Charles Ferreira Gobber, Dennis José da Silva, Alexandre Morimitsu, Ronaldo Fumio Hashimoto, Beatriz Marcotegui
      Pages 297-309
    3. Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesús Angulo
      Pages 310-322
    4. Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch
      Pages 323-334
  8. Segmentation

    1. Front Matter
      Pages 335-335
    2. Fernand Meyer
      Pages 337-349
    3. Kaiwen Chang, Bruno Figliuzzi
      Pages 350-361
    4. Arlyson Alves do Nascimento, Marcos Eduardo Valle
      Pages 362-374
    5. Teo Asplund, Andrés Serna, Beatriz Marcotegui, Robin Strand, Cris L. Luengo Hendriks
      Pages 375-387
  9. Applications in Engineering

    1. Front Matter
      Pages 389-389
    2. Florent Guiotte, Sébastien Lefèvre, Thomas Corpetti
      Pages 391-402
    3. Petra Bosilj, Iain Gould, Tom Duckett, Grzegorz Cielniak
      Pages 415-427
    4. Olumide Okubadejo, Edward Andò, Laurent Bonnaud, Gioacchino Viggiani, Mauro Dalla Mura
      Pages 428-440
    5. Xiaoyin Cheng, Sonja Föhst, Claudia Redenbach, Katja Schladitz
      Pages 441-455
    6. Andrés Serna, Beatriz Marcotegui, Etienne Decencière
      Pages 456-467
  10. Applications in (Bio)medical Imaging

    1. Front Matter
      Pages 469-469
    2. Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch et al.
      Pages 471-482
    3. Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, Nathalie Bednarek et al.
      Pages 483-495
    4. Diane Genest, Marc Léonard, Jean Cousty, Noémie de Crozé, Hugues Talbot
      Pages 496-507
    5. Julie Robic, Benjamin Perret, Alex Nkengne, Michel Couprie, Hugues Talbot
      Pages 508-519
    6. Élodie Puybareau, Edwin Carlinet, Alessandro Benfenati, Hugues Talbot
      Pages 520-531

About these proceedings

Introduction

This book contains the refereed proceedings of the 14th International Symposium on Mathematical Morphology, ISMM 2019, held in Saarbrücken, Germany, in July 2019.

The 40 revised full papers presented together with one invited talk were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Theory, Discrete Topology and Tomography, Trees and Hierarchies, Multivariate Morphology, Computational Morphology, Machine Learning, Segmentation, Applications in Engineering, and Applications in (Bio)medical Imaging.

Keywords

artificial intelligence computer vision construction discrete geometry discrete topology graph theory image analysis image processing image reconstruction image segmentation machine learning mathematical morphology morphological operator neural networks optimization partial differential equations pattern recognition project management remote sensing software engineering

Editors and affiliations

  1. 1.Universität des SaarlandesSaarbrückenGermany
  2. 2.Forschungszentrum Jülich GmbHJülichGermany
  3. 3.Université de StrasbourgIllkirch CedexFrance
  4. 4.Université de Reims Champagne-ArdenneReims Cedex 2France
  5. 5.Université Paris-EstNoisy le Grand CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-20867-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-20866-0
  • Online ISBN 978-3-030-20867-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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