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Mathematical Morphology and Its Application to Signal and Image Processing

9th International Symposium on Mathematical Morphology, ISMM 2009 Groningen, The Netherlands, August 24-27, 2009 Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Michael H. F. Wilkinson

    1. Institute of Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands

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  2. Jos B. T. M. Roerdink

    1. Institute for Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5720)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: ISMM 2009.

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Table of contents (28 papers)

  1. Front Matter

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  2. Invited Speaker

    1. Discrete Driver Assistance

      • Reinhard Klette, Ruyi Jiang, Sandino Morales, Tobi Vaudrey
      Pages 1-12

  4. Connectivity and Connected Filters

    1. Constrained Connectivity and Transition Regions

      • Pierre Soille, Jacopo Grazzini
      Pages 59-69

    2. Surface-Area-Based Attribute Filtering in 3D

      • Fred N. Kiwanuka, Georgios K. Ouzounis, Michael H. F. Wilkinson
      Pages 70-81

    3. Levelings and Geodesic Reconstructions

      • Jose Crespo
      Pages 82-91

    4. A Comparison of Spatial Pattern Spectra

      • Sander Land, Michael H. F. Wilkinson
      Pages 92-103

  5. Adaptive Morphology

    1. Differential Equations for Morphological Amoebas

      • Martin Welk, Michael Breuß, Oliver Vogel
      Pages 104-114

    2. Spatially-Variant Anisotropic Morphological Filters Driven by Gradient Fields

      • Rafael Verdú-Monedero, Jesús Angulo, Jean Serra
      Pages 115-125

    3. 3-D Extraction of Fibres from Microtomographic Images of Fibre-Reinforced Composite Materials

      • Petr Dokládal, Dominique Jeulin
      Pages 126-136

    4. Spatially-Variant Morpho-Hessian Filter: Efficient Implementation and Application

      • Olena Tankyevych, Hugues Talbot, Petr Dokladál, Nicolas Passat
      Pages 137-148

  6. Graphs and Topology

    1. Some Morphological Operators in Graph Spaces

      • Jean Cousty, Laurent Najman, Jean Serra
      Pages 149-160

    2. Morphology on Graphs and Minimum Spanning Trees

      • Fernand Meyer, Jean Stawiaski
      Pages 161-170

  7. Segmentation

    1. Segmentation of Complex Images Based on Component-Trees: Methodological Tools

      • Benoît Caldairou, Benoît Naegel, Nicolas Passat
      Pages 171-180

    2. Ultrametric Watersheds

      • Laurent Najman
      Pages 181-192

    3. An Efficient Morphological Active Surface Model for Volumetric Image Segmentation

      • Andrei C. Jalba, Jos B. T. M. Roerdink
      Pages 193-204

  8. Shape

    1. Ultimate Attribute Opening Segmentation with Shape Information

      • Jorge Hernández, Beatriz Marcotegui
      Pages 205-214
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  1. Mathematical Morphology and Its Application to Signal and Image Processing

Keywords

About this book

The 9th ISMM conference covered a very diverse collection of papers, bound together by the central themes of mathematical morphology, namely, the tre- ment of images in terms of set and lattice theory. Notwithstanding this central theme, this ISMM showed increasing interaction with other ?elds of image and signal processing, and several hybrid methods were presented, which combine the strengths of traditional morphological methods with those of, for example, linear ?ltering.This trendis particularlystrong in the emerging?eld of adaptive morphological ?ltering, where the local shape of structuring elements is det- mined by non-morphological techniques. This builds on previous developments of PDE-based methods in morphology and amoebas. In segmentation we see similar advancements, in the development of morphological active contours. Even within morphology itself, diversi?cation is great, and many new areas of research are being opened up. In particular, morphology of graph-based and complex-based image representations are being explored. Likewise, in the we- established area of connected ?ltering we ?nd new theory and new algorithms, but also expansion into the direction of hyperconnected ?lters. New advances in morphological machine learning, multi-valued and fuzzy morphology are also presented. Notwithstanding the often highly theoretical reputation of mathematical morphology, practitioners in this ?eld have always had an eye for the practical.

Reviews

From the reviews:

“Mathematical Morphology and its Applications to Signal and Image Processing, edited by M.H.F. Wilkinson and J.B.T.M. Roerdink forms vol. 5720 of Springer’s Lecture Notes in Computer Science … . if you hope to keep up with mathematical morphology, you will have to read this book.” (Ultramicroscopy, Vol. 110, 2010)

Editors and Affiliations

  • Institute of Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands

    Michael H. F. Wilkinson

  • Institute for Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands

    Jos B. T. M. Roerdink

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