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Lecture Notes in Computer Science 5720
Commenced Publication in 1973
Founding and Former Series Editors:
Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board
David Hutchison
Lancaster University, UK
Takeo Kanade
Carnegie Mellon University, Pittsburgh, PA, USA
Josef Kittler
University of Surrey, Guildford, UK
Jon M. Kleinberg
Cornell University, Ithaca, NY, USA
Alfred Kobsa
University of California, Irvine, CA, USA
Friedemann Mattern
ETH Zurich, Switzerland
John C. Mitchell
Stanford University, CA, USA
Moni Naor
Weizmann Institute of Science, Rehovot, Israel
Oscar Nierstrasz
University of Bern, Switzerland
C. Pandu Rangan
Indian Institute of Technology, Madras, India
Bernhard Steffen
University of Dortmund, Germany
Madhu Sudan
Microsoft Research, Cambridge, MA, USA
Demetri Terzopoulos
University of California, Los Angeles, CA, USA
Doug Tygar
University of California, Berkeley, CA, USA
Gerhard Weikum
Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Michael H.F. Wilkinson
Jos B.T.M. Roerdink (Eds.)
Mathematical Morphology
and Its Application to
Signal and Image Processing
9th International Symposium, ISMM 2009
Groningen, The Netherlands, August 24-27, 2009
Proceedings
13
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Volume Editors
Michael H.F. Wilkinson
Jos B.T.M. Roerdink
University of Groningen
Institute of Mathematics and Computing Science
P.O. Box 407, 9700 AK Groningen, The Netherlands
E-mail: {m.h.f.wilkinson, j.b.t.m.roerdink}@rug.nl
Library of Congress Control Number: 2009931794
CR Subject Classification (1998): I.4.10, I.5.4, C.3, J.3, G.2, I.2.8
LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition,
and Graphics
ISSN
0302-9743
ISBN-10
3-642-03612-0 Springer Berlin Heidelberg New York
ISBN-13
978-3-642-03612-5 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting,
reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965,
in its current version, and permission for use must always be obtained from Springer. Violations are liable
to prosecution under the German Copyright Law.
springer.com
© Springer-Verlag Berlin Heidelberg 2009
Printed in Germany
Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India
Printed on acid-free paper SPIN: 12732043 06/3180 543210
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Preface
The 9th ISMM conference covered a very diverse collection of papers, bound
together by the central themes of mathematical morphology, namely, the treat-
ment of images in terms of set and lattice theory. Notwithstanding this central
theme, this ISMM showed increasing interaction with other fields 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 filtering. This trend is particularly strong in the emerging field of adaptive
morphological filtering, where the local shape of structuring elements is deter-
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, diversification 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 well-
established area of connected filtering we find new theory and new algorithms,
but also expansion into the direction of hyperconnected filters. 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 field have always had an eye for the practical.
Most new theoretical and algorithmic developments are driven by urgent needs
from practical applications. Thus many application areas are covered in this
volume, ranging from biomedical imaging, through materials science to satellite
imaging and traffic analysis. The development of standardized software packages
which make all the latest algorithms easily available to the image processing pro-
fessional is very much a part of this practical side of morphology.
Finally, we wish to thank all the members of the Program Committee for
their efforts in reviewing all submissions and giving extensive feedback, essential
to the quality and success of this conference.
June 2009 Michael Wilkinson
Jos Roerdink
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