© 2000

Mathematical Morphology and its Applications to Image and Signal Processing

  • John Goutsias
  • Luc Vincent
  • Dan S. Bloomberg

Part of the Computational Imaging and Vision book series (CIVI, volume 18)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Theory

    1. Pages 1-2
    2. Ronaldo F. Hashimoto, Junior Barrera, Edward R. Dougherty
      Pages 13-22
    3. R. Van Den Boomgaard, E. A. Engbers, A. W. M. Smeulders
      Pages 23-31
    4. Alexander V. Tuzikov, Stanislav A. Sheynin
      Pages 33-40
    5. Mohamed Tajine, Christian Ronse
      Pages 41-50
    6. Fernand Meyer
      Pages 51-60
  3. Petros Maragos, Giorgos Stamou, Spyros Tzafestas
    Pages 61-70
  4. Shape Analysis and Interpolation

  5. Filtering

    1. Andrew J. H. Mehnert, Paul T. Jackway
      Pages 99-108
    2. Michael Buckley, Hugues Talbot
      Pages 109-118
    3. R. Hirata Jr, Edward R. Dougherty, Junior Barrera
      Pages 119-128
  6. Connectivity and Connected Operators

    1. G. J. F. Banon
      Pages 139-148
    2. Ulisses M. Braga-Neto, John Goutsias
      Pages 159-168
    3. Philippe Salembier, Luis Garrido
      Pages 169-178

About this book


Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications.
Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics.


3D Augmented Reality Mapping filter image processing topology

Editors and affiliations

  • John Goutsias
    • 1
  • Luc Vincent
    • 2
  • Dan S. Bloomberg
    • 2
  1. 1.Johns Hopkins UniversityBaltimore
  2. 2.XeroxPalo Alto

Bibliographic information

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