Morphology Digest June 23, 1998 1998 - Issue 3
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Subscribe: email to morpho@cwi.nl with "subscribe" as subject
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Unsubscribe: email to morpho@cwi.nl with "unsubscribe" + email address
as subject and empty message body.
Submissions: email to morpho@cwi.nl with "submit" as subject.
Archive site: URL: http://www.cwi.nl/projects/morphology/
FTP: ftp.cwi.nl - directory /pub/morphology/digest/
Editor: Henk Heijmans
-------------------------------------------------------------------------------
CONTENTS:
1. Question: mathematical morphology of coral thin sections
2. Conference papers (morphological pyramids and wavelets)
3. PhD position (4 years): University of Groningen
4. ISMM'98 proceedings: special offer
5. Book announcement: Morphologische Bildverarbeitung (in German)
6. Selected papers on morphological image processing
7. Tutorial on morphological image processing
8. CFP: Summer School/Workshop on Shape Variation
9. Forthcoming events
10. Recent literature
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1. Question: mathematical morphology of coral thin sections
-------------------------------------------------------------------------------
From: Pierre Lebellegard (lebelleg@noumea.orstom.nc)
We want to realize pattern recognition and image segmentation on digitized
images of coral thin sections, and recifal biofacies, using mathematical
morphology, which seems not to be widely used in that area.
[Q-1]: Has anybody heard about mathematical morphology, and in a more
general way, image processing, in that specific field?
[Q-2]: Could anybody give references (or reviews, specific papers, books,
www address, ...) about image processing of rocks' thin sections?
Any info sent to lebelleg@noumea.orstom.nc would be greatly appreciated.
Thank you
Pierre Lebellegard
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2. Conference papers (morphological pyramids and wavelets)
-------------------------------------------------------------------------------
From: Henk Heijmans (henkh@cwi.nl)
The following conference papers are available by anonymous FTP to
ftp.cwi.nl, directory /pub/morphology/report/
1. An Axiomatic Approach to Multiresolution Signal Decomposition
John Goutsias and Henk Heijmans
To appear in: Proceedings of the IEEE International Conference on
Image Processing, Chicago, Illinois, October 4-7, 1998.
file: Goutsias_Heijmans_icip98.ps.Z
ABSTRACT
Recently, we have been developing general multiresolution signal
decomposition schemes that unify traditional (linear) approaches and allow
use of nonlinear filtering techniques in the decomposition. This paper
summarizes our approach and provides several simple examples. Some of these
examples are known in the literature (e.g., Haar pyramid and wavelet) and
some of them are new (e.g., morphological Haar pyramid and wavelet).
2. Some Thoughts on Morphological Pyramids and Wavelets
Henk Heijmans and John Goutsias
To appear in: Proceedings of the IX European Signal Processing Conference,
EUSIPCO, Island of Rhodes, Greece, 1998.
file: Heijmans_Goutsias_eusipco98.ps.Z
ABSTRACT
The aim of this paper is to show how one can use tools from mathematical
morphology in a systematic manner for the development of signal and image
pyramids and wavelets. The abstract framework is illustrated by means of
simple examples.
3. Morphology-Based Perfect Reconstruction Filter Banks
Henk Heijmans and John Goutsias
To appear in: Proceedings of the IEEE-SP International Symposium
on Time-Frequency and Time-Scale Analysis,
Pittsburgh, Pennsylvania, October 6-9, 1998.
file: Heijmans_Goutsias_tfts98.ps.Z
ABSTRACT
What are the relationships between the existing linear (wavelets) and
nonlinear (morphological) multiresolution approaches? Is it possible to
unify both approaches into one mathematical framework? The goal of this
paper is to deal with such questions, in particular, with the construction
of perfect reconstruction filter banks based on morphological operators.
-------------------------------------------------------------------------------
3. PhD position (4 years): University of Groningen
-------------------------------------------------------------------------------
From: Jos Roerdink (roe@cs.rug.nl)
PhD POSITION (4 YRS) AT THE UNIVERSITY OF GRONINGEN
Institute for Mathematics and Computing Science
TITLE: Pattern Detection and Estimation in Functional Neuroimaging
SUMMARY:
Many techniques currently exist to produce images of the human brain, such
as CT (Computerized Tomography), MRI (Magnetic Resonance Imaging) or PET
(Positron Emission Tomography). These imaging techniques are not only useful
to obtain images of brain structure, but also of brain function. For
example, time series of PET images can be used to study changes in regional
neurological activity, e.g. cerebral blood flow. The detection of
significant changes in neurological activity is not an easy task, since in
general these changes are small and distributed over the whole brain,
although not in the same amount. The general approach is to obtain data
under both activation and resting conditions, and assess significant change
by comparing these data. Also comparisons between different test persons,
and between images obtained from different modalities (multimodality
imaging: e.g. CT vs. PET), are possible. The goal of this project is to
carry out fundamental research in functional neuroimaging, covering both
image analysis and statistical estimation. Statistical analysis is applied
to partition the neurophysiological phenomena as observed in the images into
significant, insignificant and random components. This involves techniques
based on a modified Principal Component Analysis (SSM: Scaled Subprofile
Model), resulting in `eigenimages' corresponding to some spatial pattern, or
methods which create an image of a statistical parameter: Statistical
Parametric Mapping (SPM). Volume visualization for interpretation of the
results also will play an important role.
This project is connected to GNIP: Groningen NeuroImaging Project, which
involves many research groups from the Academic Hospital (AZG) and the local
research school BCN (Behavioural, Cognitive and Neurosciences).
RESEARCH GROUP:
The project will be carried out in the research group `Scientific Computing
and Imaging' of the Department. The research interests of the group are
particularly concentrated in high performance computing for visual
perception and neural-net modelling, morphological image processing,
computerized tomography, scientific visualization and geometric algorithms.
REQUIREMENTS:
1. MsC in Mathematics, Computer Science or equivalent.
2. Experience in image processing and/or spatial statistics.
3. Demonstrably good computing skills.
HOW TO APPLY:
Applications for the position, including a Curriculum Vitae (name, address,
degree, date, etc.) and name and email address of two professional
references, should be addressed (by surface or e-mail) to:
Dr. Jos Roerdink
University of Groningen
Department of Mathematics and Computing Science
P.O. Box 800
9700 AV Groningen
The Netherlands
Tel: +31-50-3633931
Email: roe@cs.rug.nl
URL: http://www.cs.rug.nl/~roe
More information about ongoing work of the research group can be found at:
http://www.cs.rug.nl/~peterkr/groep.html
-------------------------------------------------------------------------------
4. ISMM'98 proceedings: special offer
-------------------------------------------------------------------------------
From: Henk Heijmans (henkh@cwi.nl)
Mathematical Morphology and its
Applications to Image and Signal Processing
Henk J.A.M. Heijmans and Jos B.T.M. Roerdink (eds)
COMPUTATIONAL IMAGING AND VISION - Volume 12
Kluwer Academic Publishers, Dordrecht
Hardbound, ISBN 0-7923-5133-9
May 1998, 452 pp.
http://www.wkap.nl/book.htm/0-7923-5133-9
Special offer
=============
Readers of the morphology digest are entitled to order these proceedings at
the highly reduced price of NLG 125,00 (approximately US$ 60,00), which is
35% of the list price. (See below for ordering information.)
Summary
=======
This book contains the proceedings of the International Symposium on
Mathematical Morphology and its Applications to Image and Signal Processing
IV, held June 3-5, 1998, in Amsterdam, The Netherlands. The purpose of the
work is to provide the image analysis community with a sampling of recent
developments in theoretical and practical aspects of mathematical morphology
and its applications to image and signal processing.
Among the areas covered are: digitization and connectivity,
skeletonization, multivariate morphology, morphological segmentation, color
image processing, filter design, gray-scale morphology, fuzzy morphology,
decomposition of morphological operators, random sets and statistical
inference, differential morphology and scale-space, morphological algorithms
and applications.
Audience: This volume will be of interest to research mathematicians and
computer scientists whose work involves mathematical morphology, image and
signal processing.
Contents
========
Preface
Introduction
Theory
Numerical and Approximation Tools Based on Mathematical Morphology
A.T Popov
Toggle Mappings and Some Related Transformations:
A Study of Contrast Enhancement
I.R. Terol Villalobos
Representation of Gray-Scale Windowed Operators
J. Barrera and E.R. Dougherty
Complete Ordering and Multivariate Mathematical Morphology:
Algorithms and Applications
H. Talbot, C. Evans and R. Jones
Extension of Morphological Operations to Complete Semilattices and its
Applications to Image and Video Processing
R. Kresch
Fuzzy Geodesic Mathematical Morphology from Fuzzy Geodesic Distance
I. Bloch
Total Ordering Based on Space Filling Curves for Multivalued Morphology
J. Chanussot and P. Lambert
Measures and Indices of Reflection Symmetry for Convex Polyhedra
A.V. Tuzikov, J.B.T.M. Roerdink, H.J.A.M. Heijmans, and S.A. Sheynin
Topology and Geometry
An Approach to Discretization Based on the Hausdorff Metric
D. Wagner, M. Tajine and C. Ronse
Mathematical Morphology Based on Metric Spaces
J.L. Diaz de Leon S. and J.H. Sossa-Azuela
Grey Scale Convex Hulls: Definition, Implementation and Application
P. Soille
Digitization and Connectivity
M. Schmitt
Touching Distances and Distance Transform
V. Starovoitov
Hausdorff Distances and Interpolations
J. Serra
Shape Analysis and Partial Differential Equations
Curve Evolution, Wave Propogation, and Mathematical Morphology
H. Tek and B.B. Kimia
Geometric Partial Differential Equations and Iterative Filtering
F. Guichard and J.-M. Morel
2D & 3D Figural Models of Anatomic Objects from Medical Images
S.M. Pizer, D.S. Fritsch, K.-C. Low and J.D. Furst
Generation of the Euclidean Skeleton by a Bisector Decision Rule on a
Two-Shortest-Vector Distance Map
H. Li and A.M. Vossepoel
A Figure Splitting Method Based on the Multi-Resolution Skeleton
H. Hontani, M. Nakao and K. Deguchi
Advances in Differential Morphology: Image Segmentation via
Eikonal PDE & Curve Evolution and Reconstruction via Constrained
Dilation Flow
P. Maragos and M.A. Butt
Numerical Solutions of Morphological Partial Differential
Equations based on the Morphological Facet Model
R. van den Boomgaard
Connected Operators
Auto-Dual Connected Operators Based on Iterative Merging Algorithms
Ph. Salembier, L. Garrido and D. Garcia
From Connected Operators to Levelings
F. Meyer
The Levelings
F. Meyer
Face Segmentation Using Connected Operators
V. Vilaplana and F. Marques
Segmentation
A Connected Component Approach to the Watershed Segmentation
A. Bieniek and A. Moga
Morphological Segmentation of Non-Image Data: The Closing Function
E.J. Breen
Color Segmentation Algorithm Using an HLS Transformation
C.-H. Demarty and S. Beucher
Computing the Watersheds of Large Three-Dimensional Images
Using Limited Random Access Memory
C. Cotsaces and I. Pitas
Random Models and Statistical Techniques
Grey-Scale Images and Random Sets
I. Molchanov
Prior Information in the Design of Optimal Binary Filters
E.R. Dougherty and J. Barrera
Monte Carlo Simulation and Statistical Inference of Morphologically
Constrained GRF's
K. Sivakumar and J. Goutsias
Parameter Analysis of Conditional Morphological Operators for Image
Restoration
E. Stringa and C.S. Regazzoni
Distances between Grey-Scale Images
N. Friel and I. Molchanov
Size-Biased Random Closed Sets
M.N.M. van Lieshout
Algorithms
Finding Optimal Sequential Decompositions of Erosions and Dilations
J. Barrera, C.E. Ferreira and R.F. Hashimoto
Sets, Partitions and Functions Interpolations
S. Beucher
Segmentation-Based Motion Compensation
E. Decenciere Ferrandiere
Generic Algorithms for Morphological Image Operators:
A Case Study Using Watersheds
M.C. D'Ornellas and R. van den Boomgaard
Minimal Path Algorithms for the Robust Detection of Linear Features in
Gray Images
L. Vincent
Computation of the Opening Transform
S.A. Sheynin, A.V. Tuzikov and O. Krivonos
Fast Dilation and Skeletonization of Compressed Binary Pictures
V.M. Kiiko and M.I. Schlesinger
Applications
The Creation of Computer Graphics with Mathematical Morphology
J.S. Ploem
Morphological Segmentation Applied to Character Extraction from Color
Cover Images
L. Gu, T. Kaneko and N. Tanaka
The Power of Morphological Filters Alone and when Combined with Linear
Filtering
M.H. Sedaaghi and Q.H. Wu
Morphological Unwrapping of Interferometric Phase-Maps
P. Soille
Shoaling Waves and Water Depth Determination Using Mathematical
Morphology
S.M. Lea and M. Lybanon
An Application of Mathematical Morphology to Road Network Extraction
on SAR Images
J. Chanussot and P. Lambert
Soft Morphological Structuring Element Decomposition
A. Gasteratos, I. Andreadis and Ph. Tsalides
Morphological Processing of Ground-to-Ground Radar Image Sequences
R. Vogt, S. Stokely and G. Fliss
A Region Merging Algorithm Using Mathematical Morphology:
Application to Macula Detection
F. Zana, I. Meunier and J.C. Klein
Author Index
Subject Index
Ordering information
====================
Please address your order to:
Mrs. Angelique Hempel
Kluwer Academic Publishers
P. O. Box 17
3300 AA Dordrecht
The Netherlands
Fax: +31 (0)78 6 392 254 (general)
+31 (0)78 6 392 388 (scitech)
E-mail: angelique.hempel@wkap.nl
Please mention that you are entitled to order at the "Morphology Digest
special price" of NLG 125,00.
-------------------------------------------------------------------------------
5. Book announcement: Morphologische Bildverarbeitung (in German)
-------------------------------------------------------------------------------
From: Pierre Soille (Pierre.Soille@eerie.fr)
New book (in German) about morphological image processing:
Morphologische Bildverarbeitung
P. Soille
Springer-Verlag, 1998
ISBN 3-540-64323-6
1. Einleitung :::::::::::::::::::::::::::::::::::::::::::::::: 1
1.1 Die Urspr"unge der mathematischen Morphologie .......... 1
1.2 Zweck des Buches ...................................... 3
1.3 Ziel der morphologischen Bildanalyse ................... 4
1.4 Gliederung des Buches ................................. 10
1.5 Literaturhinweise ......................................13
2. Grundlagen ::::::::::::::::::::::::::::::::::::::::::::::: 15
2.1 Diskretisierung ........................................15
2.2 Diskrete Bilder ........................................17
2.3 Bild-zu-Bild-Transformationen ..........................20
2.4 Mengenoperatoren f"ur Bilder ............................23
2.5 Ordnungsbeziehungen ................................... 26
2.6 Diskrete Geometrie .................................... 27
2.7 Diskrete Distanzen und Distanzfunktionen ...............36
2.8 Eigenschaften von Bildtransformationen .................40
2.9 Literaturhinweise ......................................45
3. Erosion und Dilatation ::::::::::::::::::::::::::::::::::: 49
3.1 Strukturierendes Element ................................51
3.2 Erosion ............................................... 52
3.3 Dilatation .............................................55
3.4 Eigenschaften ..........................................57
3.5 Erosion und Distanzfunktion ............................61
3.6 Minkowski-Operatoren .................................. 63
3.7 Morphologische Operatoren f"ur Graphen .................63
3.8 U"ber die Wahl des SE ...................................64
3.9 Erste "Worte": Morphologische Gradienten ...............69
3.10 Drei Bildauswertungsmethoden ........................... 73
3.11 Berechnung von Erosionen und Dilatationen ..............80
3.12 Literaturhinweise ......................................87
4. O"ffnung und Schliessung :::::::::::::::::::::::::::::::::: 91
4.1 Morphologische "Offnung ................................92
4.2 Morphologische Schliessung .............................94
4.3 Eigenschaften ..........................................97
4.4 Algebraische "Offnung und Schliessung ................. 99
4.5 Zylinderhut-Transformation .............................106
4.6 Kontrastverst"arkung ..................................110
4.7 Granulometrien ........................................111
4.8 Multi-Scale-Gradient ...................................117
4.9 Industrielle Anwendung ................................119
4.10 Berechnung von "Offnungen und Schliessungen ...........122
4.11 Literaturhinweise .....................................125
5. Alles-oder-Nichts und Skelette :::::::::::::::::::::::::::: 129
5.1 Alles- oder Nichtstransformation ......................130
5.2 Verd"unnung und Thin-Fit ..............................135
5.3 Verdickung und Thick-Miss .............................136
5.4 Skelette ..............................................138
5.5 Berechnung ............................................149
5.6 Literaturhinweise .....................................152
6. Geod"atische Transformationen :::::::::::::::::::::::::::: 155
6.1 Geod"atische Dilatation ...............................155
6.2 Geod"atische Erosion ..................................157
6.3 Morphologische Rekonstruktion ........................ 160
6.4 Auf Rekonstruktion basierende Operatoren ..............163
6.5 Eine Anwendung: geod"atische Interpolation ............180
6.6 Literaturhinweise .....................................184
7. Geod"atische Distanzen :::::::::::::::::::::::::::::::::::: 187
7.1 Geod"atische Distanz ..................................187
7.2 Auf geod"atischer Distanz basierende Operatoren ........191
7.3 Verallgemeinerte geod"atische Operatoren ..............199
7.4 Berechnung geod"atischer Distanzen und Zeiten .........203
7.5 Literaturhinweise .....................................206
8. Filterung ::::::::::::::::::::::::::::::::::::::::::::::::: 209
8.1 Definition eines morphologischen Filters ..............210
8.2 Entwurf eines morphologischen Filters ..................213
8.3 Alternierende sequentielle Filter .....................218
8.4 Selbstduale Filter .....................................220
8.5 Toggle Mappings .......................................221
8.6 Anwendung ......................................... ...226
8.7 Literaturhinweise .....................................229
9. Segmentierung :::::::::::::::::::::::::::::::::::::::::::: 233
9.1 Regionenwachstum und Kantendetektion ..................234
9.2 Wasserscheidentransformation ...........................235
9.3 Markerkontrollierte Segmentierung ......................244
9.4 Anwendungen ......................................... .248
9.5 Literaturhinweise .....................................254
10. Klassifikation :::::::::::::::::::::::::::::::::::::::::::::257
10.1 Pixelbasierte Klassifikationsverfahren ................258
10.2 Wasserscheidenbasierte Clusteranalyse .................259
10.3 Nachfolgende markerkontrollierte Segmentierung ........268
10.4 Literaturhinweise ................................. ...280
11. Anwendungsgebiete ::::::::::::::::::::::::::::::::::::::: 283
11.1 Geowissenschaften ................................ ....284
11.2 Materialwissenschaften ................................284
11.3 Biologische und medizinische Bildverarbeitung .........285
11.4 Industrielle Anwendungen ..............................286
11.5 Identifikation und Sicherheitskontrolle ................287
11.6 Dokumentenverarbeitung ................................287
11.7 Bildcodierung .........................................287
11.8 Weitere Anwendungen .................................. 288
11.9 Weitere Hinweise und Literaturliste ...................288
Symbolverzeichnis :::::::::::::::::::::::::::::::::::::::::::: 299
Namenverzeichnis :::::::::::::::::::::::::::::::::::::::::::: 303
Sachwortverzeichnis :::::::::::::::::::::::::::::::::::::::::: 307
-------------------------------------------------------------------------------
6. Selected papers on morphological image processing
-------------------------------------------------------------------------------
From: Gonzalo Urcid (urcid@pue1.telmex.net.mx)
Selected papers on:
Morphological Image Processing
Principles and Optoelectronic Implementations
Tomasz Szoplik, Editor
Brian J. Thompson, General Editor
SPIE Milestone Series, Volume MS127
SPIE Optical Engineering Press, 1996
Info: http://www.spie.org/web/abstracts/oepress/MS127.html
Contents by Section
1. Principles
2. Morphological Filters and Algorithms
3. Foundations of Optoelectronic Implementations of Morphological
Processors
4. Optoelectronic Implementations of Morphological Processing
5. Applications of Morphological Image Processing
Gonzalo Urcid
Instituto Nacional de Astrofisica, Optica y Electronica
Tonanzintla, 72000, Puebla, MEXICO
e-mail: urcid@pue1.telmex.net.mx
-------------------------------------------------------------------------------
7. Tutorial on morphological image processing
-------------------------------------------------------------------------------
From: Pierre Soille (Pierre.Soille@eerie.fr)
TUTORIAL ON MORPHOLOGICAL IMAGE PROCESSING
ICPR'98, Brisbane, Australia
Tutorial 1:
Mathematical Morphology for Image Analysis and Pattern Recognition
by Pierre Soille
Brisbane, Sunday 16 August 1998
Abstract/ Course Outline:
Mathematical morphology (MM) provides us with a theory for the analysis of
spatial structures. It is called morphology since it aims at analysing the
shape and form of objects and it is mathematical in the sense that the
analysis is based on set theory, topology, lattice algebra, random
functions, etc.
MM is not only a theory but also a powerful technique for successfully
achieving image analysis and pattern recognition tasks.
The intent of this half-day tutorial is not to cover theoretical aspects of
MM but to present an overview of both fundamental and advanced morphological
concepts useful for solving real image analysis problems. These concepts
are explained and illustrated with numerous applications in medical imaging,
biology, materials sciences, quality control, OCR and document processing,
geography, remote sensing, image compression, etc.
List of Topics:
Background Notions: set operators, image to image transformations and their
properties, order relationships, discrete geometry.
Erosions and Dilations: definition, properties, on the choice of the
structuring element, morphological gradients, covariance for the analysis of
oriented or periodic image structures, Minkowski dimension for grey scale
images, Hausdorff distance, implementation issues.
Openings and Closings: definition, properties, algebraic case, top-hat
transformations, top-hat contrast, multi-scale gradients, size distribution
and pattern spectrum, grey scale convex hulls.
Hit-or-Miss: definition, properties, thinnings, thickenings, skeletons (by
openings, by thinnings, smooth, minimal and Euclidean), skeleton by
influence zones.
Geodesic Transformations: geodesic erosions and dilations, morphological
reconstruction, on the choice of the mask and marker images, operators
based on morphological reconstruction, geodesic distance, propagation
function, generalized geodesy, minimal paths.
Filtering: tasks, definition and design of a morphological filter,
parallel, sequential and iterative combinations, alternating sequential
filters, toggle contrast, morphological centre, connected filters,
parametric openings and closings, directional filters.
Segmentation: watershed transformation, marker-controlled segmentation,
morphological-based clustering, minima imposition technique, separation of
overlapping blobs, connection of missing boundaries, dynamic filtering,
watershed-based clustering.
Applications and implementation issues are detailed within each section.
Intended Audience:
The target audience is anyone interested in knowing about the principles
and applications of MM and its latest developments. This can be either a
researcher willing to cross-fertilize his/her own field with MM or
application-oriented people wishing to learn about recent advanced image
analysis techniques.
The course is self-contained in the sense that no background about MM is
required to successfully follow the course. Experience with image
processing and analysis can be helpful, but is not essential.
Extensive developments are given in the tutorial notes which also include a
comprehensive list of references commented and sorted by topics.
Contact address for registration:
URL: http://www.cssip.elec.uq.edu.au/~icpr98/
Contact address of the presenter:
Name: Pierre Soille
Organisation: LGI2P, Ecole des Mines d'Al�s & EERIE
Postal Address: Parc scientifique G. Besse
F-30000 NIMES, France
E-mail: Pierre.Soille@eerie.fr
URL: http://www.eerie.fr/~soille
Telephone: int+33-466 38 70 22
Fax: int+33-466 38 70 74
-------------------------------------------------------------------------------
8. CFP: Summer School/Workshop on Shape Variation
-------------------------------------------------------------------------------
From: Jon Sporring (sporring@diku.dk)
CFP: Summer School/Workshop on Shape Variation
Organization: Department of Computer Science - University of Copenhagen
Dear Colleagues,
Allow me to draw your attention to the following event hosted by the
Image Group, Department of Computer Science, University of Copenhagen:
August 24-28: A Ph.D.-School/Workshop on Shape Variation
by Tim F. Cootes, Fred L. Bookstein, Peter Giblin, Jean-Philippe Thirion,
and Gerard Subsol. More details can be found at:
http://www.diku.dk/research-groups/image/events/shape/
Please distribute this notice to whomever you feel appropriate.
Sincerely Yours,
Jon Sporring (sporring@diku.dk)
Image Group / Dept. of Computer Science / University of Copenhagen
Universitetsparken 1 / DK-2100 Copenhagen / DENMARK
Phone: +45 3532 1400 / Fax: +45 3532 1401 / Home: +45 3526 1428
-------------------------------------------------------------------------------
9. Forthcoming events
-------------------------------------------------------------------------------
1 - 3 July 1998 Glasgow, Scotland
Workshop on Non-Linear Model Based Image Analysis (NMBIA '98)
URL: http://www.spd.eee.strath.ac.uk/noblesse/nmbia98
19 - 24 July 1998 San Diego, California, USA
VISION GEOMETRY VII (SD91)
URL: http://www.spie.org/web/meetings/calls/sd98/sd98_submissions.html
16 August 1998 Brisbane, Australia
ICPR'98 Tutorial on Mathematical Morphology (Pierre Soille)
URL: http://www.cssip.elec.uq.edu.au/~icpr98/
17 - 20 August 1998 Brisbane, Australia
14th International Conference on Pattern Recognition (ICPR'98)
URL: http://www.cssip.elec.uq.edu.au/~icpr98/
24 - 28 August 1998 Copenhagen, Denmark
Summer School/Workshop on Shape Variation
URL: http://www.diku.dk/research-groups/image/events/shape/
8 - 11 September 1998 Island of Rhodes, Greece
IX European Signal Processing Conference (EUSIPCO - 98)
URL: http://www.di.uoa.gr/~eusipco
14 -17 September 1998 Southampton, UK
The Ninth British Machine Vision Conference
URL: http://peipa.essex.ac.uk/BMVC98/present.html
4 - 7 October 1998 Chicago, Illinois, USA
IEEE 1998 International Conference on Image Processing (ICIP'98)
URL: http://mri.beckman.uiuc.edu/ICIP98/
20 - 23 October 1998 Rio de Janeiro, Brazil
International Symposium on Computer Graphics, Image Processing and Vision
URL: http://www.ifqsc.sc.usp.br/visao/sib98/sib98.htm
21 - 23 December 1998 New Delhi, India
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-98)
URL: http://www.iitd.ernet.in/~icvgip
17 - 19 March 1999 Noisy-Le-Grand, France
Discrete Geometry for Computer Imagery (DGCI'99)
URL: http://www.esiee.fr/~dgci99/
Spring 2000 USA (location to be decided)
International Symposium on Mathematical Morphology (ISMM'00 or ISMM'2000)
-------------------------------------------------------------------------------
10. Recent literature
-------------------------------------------------------------------------------
@article{FanChenWen:98,
author = "K. C. Fan, D. F. Chen, M. G. Wen",
title = "Skeletonization of binary images with nonuniform width via
block decomposition and contour vector matching",
journal = "Pattern Recognition",
year = "1998",
volume = "31",
number = "7",
pages = "823--838"
}
@article{Garr:98,
author = "L. Garrido",
title = "Extensive operators in partition lattices for image sequence
analysis",
journal = "Signal Processing",
year = "1998",
volume = "66",
number = "2",
pages = "157--180"
}
@book{HeijRoer:98,
title = "Mathematical morphology and its applications to image
and signal processing",
publisher = "Kluwer Academic Publishers",
year = "1998",
editor = "H. J. A. M. Heijmans and J. B. T. M. Roerdink",
series = "Computational Imaging and Vision",
volume = "12",
address = "Dordrecht"
}
@article{LeeParkYun:98,
author = "S. U. Lee, S. H. Park, I. D. Yun",
title = "Color image segmentation based on 3-D clustering:
morphological approach",
journal = "Pattern Recognition",
year = "1998",
volume = "31",
number = "8",
pages = "1061--1076"
}
@article{LinYuWu:98,
author = "J. A. C. Lin, J. Y. Lu, K. S. Wu",
title = "Fast full search in motion estimation by hierarchical use of
{M}inkowski's inequality (HUMI)",
journal = "Pattern Recognition",
year = "1998",
volume = "31",
number = "7",
pages = "945--952"
}
@article{PeiLaiShih:98,
author = "S. C. Pei, C. L. Lai, F. Y. Shih",
title = "A morphological approach to shortest path planning for rotating
objects",
journal = "Pattern Recognition",
year = "1998",
volume = "31",
number = "8",
pages = "1127--1138"
}
@article{RonsHeij:98,
author = "C. Ronse and H. J. A. M. Heijmans",
title = "A lattice-theoretical framework for annular filters
in morphological image processing",
year = "1998",
journal = "Applicable Analysis in Engineering, Communication, and Computing",
volume = "9",
number = "1",
pages = "45--89"
}
@book{Soil:98,
author = "P. Soille",
title = "Morphologische {B}ildverarbeitung",
subtitle = "Grundlagen, Methoden, Anwendungen",
publisher = "Springer-Verlag",
year = "1998",
isbn = "3-540-64323-0",
address = "Berlin Heidelberg",
psnote = "http://www.springer.de/cgi-bin/bag_generate.pl?ISBN=3-540-64323-0"
}
@article{TuziHeij:98,
author = "A. Tuzikov and H. J. A. M. Heijmans",
title = "Minkowski Decomposition of Convex Polygons
into their Symmetric and Asymmetric Parts",
journal = "Pattern Recognition Letters",
volume = "19",
number = "3-4",
pages = "247--254",
year = "1998"
}
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End of Morphology Digest
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