Morphology Digest July 7, 1999 1999 - Issue 3
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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
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CONTENTS:
1. CFP: ISMM2000 (International Symposium on Mathematical Morphology)
2. Post-doc position at ENST (Paris)
3. New book on morphological image analysis
4. Technical Report: Morphological wavelets
5. Papers on scale-space analysis with automatic scale selection
6. Special issue PR on random sets
7. Course on mathematical morphology
8. CFP: 9th Discrete Geometry for Computer Imagery (DGCI 2000)
9. Workshop on stochastic geometry and spatial statistics
10. CFP: ICPR'2000 (International Conference on Pattern Recognition)
11. Forthcoming events
12. Recent literature
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1. CFP: ISMM2000 (International Symposium on Mathematical Morphology)
-------------------------------------------------------------------------------
From: Luc Vincent (lucv@powersight.com)
ISMM 2000
Call for Papers
INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY
and its Applications to Image and Signal Processing V
--------------------------------------------
June 26-28, 2000, Palo Alto, California, USA
--------------------------------------------
This symposium is the fifth in a series of international workshops devoted
to the area of mathematical morphology and its applications in image and
signal processing. The scientific program will include invited talks and
contributed papers. The size of the workshop will be limited in order to
enable interaction between the participants.
While morphological image/signal processing remains the core topic for
ISMM 2000, presentations on related areas will be welcome. Related topics
of specific interest include, but are not limited to:
* PDE methods
* Discrete geometry for image analysis
* Probabilistic methods
* 3D image analysis
* Scale space
SUBMISSION PROCEDURES:
----------------------
Prospective authors are invited to submit five copies of a full paper
devoted to any topic in mathematical morphology or a related area to
the following address:
ISMM 2000
c/o Dan Bloomberg
Information Sciences and Technologies Lab
Xerox Palo Alto Research Center
3333 Coyote Hill Road
Palo Alto, CA 94304
USA
Alternatively, email submissions will also be accepted. Manuscripts
should be in PostScript or PDF format, possibly compressed (gzip
preferred), and emailed to the following address:
ismm2000@parc.xerox.com
Manuscripts should include a separate title page, containing the names and
the addresses of the authors (including e-mail address, phone and fax
number), an abstract of up to 200 words, and keywords.
Acceptance of papers is based on appropriateness of the topic and on
quality, novelty, and clarity of exposition. Each paper will be reviewed by
at least two members of the Program Committee using a blind procedure, and
their reviews will be returned to the author.
Accepted papers will appear in the proceedings volume published by Kluwer
in their Computational Imaging and Vision series. This volume will be
available at the beginning of the workshop. The final paper must be
prepared using the LaTeX typesetting system using the style file provided
by the organizers (see conference web site), and should be limited to 8
pages including artwork and references.
CONFERENCE SITE:
---------------
The conference will be held at the Xerox Palo Alto Research Center (PARC),
one of the most prestigious research institutions in the United States.
PARC researchers are credited for many of the innovations that led to
modern day computing, including the bit-mapped graphical user interface,
the laser printer, ethernet, etc. PARC is a vibrant institution, a
cornerstone of Silicon Valley, and a place many look to for a glimpse at
the future of computing.
For ISMM 2000, we'll use the PARC Auditorium, which can accommodate up to
240 attendees. We will also work on arranging a tour of the facilities and
some demos or presentations by PARC researchers.
For additional information on PARC, see http://www.parc.xerox.com/
IMPORTANT DATES:
----------------
October 31, 1999: Submission of full paper
December 15, 1999: Notification of acceptance
March 1, 2000: Camera-ready full paper
CONFERENCE CHAIRS:
------------------
Luc Vincent Dan S. Bloomberg
Xerox Xerox PARC
3400 Hillview Avenue 3333 Coyote Hill Road
Palo Alto, CA 94304 Palo Alto, CA 94304
USA USA
luc@vincent-net.com bloomberg@parc.xerox.com
Voice: +1 530 678 9459 Tel: +1 650 812 4128
Fax: +1 650 373 2642 Fax: +1 650 812 4374
Proceedings:
------------
John Goutsias
Dept. of Electrical and Computer Engineering
The John Hopkins University
Baltimore, MD 21218
USA
goutsias@ece.jhu.edu
Tel: +1 410 516 7871
Fax: +1 410 516 5566
PROGRAM COMMITTEE:
-----------------
Banon , G.J.F, INPE, Brazil
Barrera, J. University of Sao Paulo, Brazil
Berman, M. CSIRO, Australia
Boomgaard, R. van den University of Amsterdam, The Netherlands
Dougherty, E.R. Texas A&M University, USA
Heijmans, H.J.A.M CWI, The Netherlands
Kimia, B.B. Brown University, USA
Kunt, M. EPFL, Switzerland
Malladi, R. UC Berkeley, USA
Maragos, P. ILSP, Greece
Meyer, F. Ecole des Mines, France
Montanvert, A. Universite Pierre Mendes France, France
Morel, J.M. ENS Cachan, France
Roerdink, J.B.T.M University of Groningen, The Netherlands
Ronse, C. Universite Louis Pasteur, France
Salembier, Ph. UPC, Spain
Schafer, R.W. Georgia Institute of Technology, USA
Schmitt, M. Ecole des Mines, France
Serra, J. Ecole des Mines, France
SPONSORS:
--------
Xerox
INFORMATION:
------------
The following site:
http://www.parc.xerox.com/ismm2000
contains information about submission, registration, invited speakers,
accommodation, etc. For additional information, you can also contact
the organizing committee, or send email to: ismm2000@parc.xerox.com
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2. Post-doc position at ENST (Paris)
-------------------------------------------------------------------------------
From: Isabelle Bloch (bloch@ima.enst.fr)
Post-doc position available at ENST, Signal and Image Processing Department,
Image Processing and Interpretation Group.
Duration: minimum 6 months
Starting between September 1999 and January 2000.
The scientific research project is part of a federative French project
COMOBIO, in the RNRT program (Reseau National de Recherches en
Telecommunications).
Candidates have to send a CV, list of publications, motivation, preferred
starting date, at the following address:
Isabelle Bloch
Ecole Nationale Superieure des Telecommunications
Dept TSI
46 rue Barrault
75013 Paris
France
Information on http://www.tsi.enst.fr/~bloch/post-doc-comobio.html
General objectives of the project
----------------------------------
Due to the increasing number of mobile phone users, the questions related
to the possible biological effects of electromagnetic waves are numerous.
Being able to answer to these questions constitutes major sanitary and
economic stakes. The COMOBIO project brings together French academic
researchers and industrials in a common action aiming at increasing the
knowledge of biological and sanitary effects of the micro-waves emitted by
mobile phones, in order to bring some answers to the questions asked by the
users. This project has a duration of 24 months, and merges complementary
studies that can be divided in three groups: dosimetry studies, human
studies, and animal studies. Epidemiologic studies cannot be carried out at
the only national level, and are therefore out of the scope of this
project. This project will allow French teams to contribute to future
European studies.
The TSI department of ENST, in collaboration with the LENA at the
Salpetriere Hospital, is concerned in this research project by the
development of realistic head models, including the different tissues of
the head, from individual MRI data. These models will be adapted to the
different methods of numerical computation used both in dosimetry and, in
longer term, in magneto-encephalography (MEG) (inverse problems and source
localization).
Anatomical imaging and modeling
--------------------------------
Coordination of this part of the project: Isabelle Bloch (ENST Paris - CNRS
URA820) - Line Garnero (LENA, Salpetriere Hospital, Paris - CNRS UPR 640)
This part of the project aims at constructing, from magnetic resonance
images (MRI), a model of the head and of the different types of tissues it
contains. The modeling will be used for dosimetry on the one hand, and on
the other hand for the analysis of electro-encephalography (EEG) and MEG
acquisitions (source localization, resolution of direct and inverse
problems). Indeed, the determination of electric filed inside the tissues
is often performed using numerical computation techniques, that need a
surfacic or volumic mesh of the tissues, along with dielectric constants of
these tissues. Several methods use meshes built from very simple models of
the head. In the same way, studies in EEG need individual anatomical
models.
Therefore we propose to build a realistic and individual model of the head,
which also has to be adapted to the different methods of numerical
computation. For doing this, we will use real 3D anatomical images,
obtained with MRI.
We already started to work on this problem, in collaboration with the
Centre National d'Etudes des Telecommunications (CNET: ressearch lab of
france Telecom) (Joe Wiart), for dosimetry studies. We already developed
methods for segmenting the brain and the main tissues (grey matter, white
matter, cephalo-spinal fluid). We also addressed difficult problems, not
much treated in the literature, concerning the modeling of the internal ear
and of the skull (Ph.D thesis of Hilmi Rifai). The developed methods
involve classification, Markov Random Fields, mathematical morphology,
deformable models with topological constraints or using level sets methods,
and with partial volume estimation.
From these first results, numerous problems still have to be solved, and
will be addressed in this project. They include the following steps:
-- Tests of existing methods for brain, skull and internal ear segmentation,
and adaptation to a representative set of MR images.
-- Segmentation of the skin (the deformable models devloped by Hilmi Rifai can
be used as a starting point).
-- Segmentation of cortical ribbon (the Ph.D of Yann Cointepas can serve as basis
for this step).
-- Segmentation of the different types of bone in the skull.
-- Integration of segmentation results in a global, consistent model of the
head. Particular attention will be paid to topological consistency. This
constitutes the main part of the work.
-- Study of the necessary resolution for the different parts of the head,
and development of an adaptive method, to adapt the smoothing and the
resolution of the model, in accordance with numerical resolution methods.
This constitutes another important point of the project.
The final result which is expected from this research if a complete
individual and adaptive model of the head. We may choose to consider or
not some structures in the model, choose the resolution, impose a given
level of smoothing, etc.
-------------------------------------------------------------------------------
3. New book on morphological image analysis
-------------------------------------------------------------------------------
From: Pierre Soille (Pierre.Soille@bbsrc.ac.uk)
A new book on morphological image analysis has just been released:
Morphological Image Analysis: Principles and Applications
P.~Soille
Springer-Verlag, Berlin,1999, ISBN 3-540-65671-5
URL: http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-65671-5
It is also available in German:
URL: http://www.springer.de/cgi-bin/bag_generate.pl?ISBN=3-540-64323-0
From the backcover:
===================
Mathematical morphology (MM) or simply morphology can be defined as a
theory for the analysis of spatial structures. It is called morphology
because it aims at analysing the shape and form of objects. MM is not only
a theory, but also a powerful image analysis technique.
The purpose of this book is to provide the reader with a detailed
presentation of the principles and applications of morphological image
analysis. This is achieved through a step by step process starting from the
basic morphological operators and pursued until the most recent advances
which have proven their practical usefulness. All concepts are illustrated
with real applications to help the reader acquiring the expert knowledge
necessary for building the chain of operators to resolve his/her own image
analysis problem. The emphasis is therefore put on the technique rather
than the theory underlying MM.
This volume will be valuable to all engineers, scientists, and
practitioners dealing with the analysis of digital images.
For further information and updates, please check:
http://web.ukonline.co.uk/soille
Best regards,
Pierre Soille
-------------------------------------------------------------------------------
4. Technical Report: Morphological wavelets
-------------------------------------------------------------------------------
From: Henk Heijmans (henkh@cwi.nl)
The following report is available:
TITLE: Multiresolution Signal Decomposition Schemes.
Part 2: Morphological Wavelets
(Technical Report PNA-R9905, CWI Amsterdam)
AUTHORS: H.J.A.M. Heijmans and J. Goutsias
ABSTRACT: In its original form, the wavelet transform is a linear tool.
However, it has been increasingly recognized that nonlinear extensions are
possible. A major impulse to the development of nonlinear wavelet
transforms has been given by the introduction of the lifting scheme by
Sweldens. The aim of this report, which is a sequel to a previous report
devoted exclusively to the pyramid transform, is to present an axiomatic
framework encompassing most existing linear and nonlinear wavelet
decompositions. Furthermore, it introduces some, thus far unknown, wavelets
based on mathematical morphology, such as the morphological Haar wavelet,
both in one and two dimensions. A general and flexible approach for the
construction of nonlinear (morphological) wavelets is provided by the
lifting scheme. This paper discusses one example in considerable detail,
the max-lifting scheme, which has the intriguing property that it preserves
local maxima in a signal over a range of scales, depending on how local or
global these maxima are.
HOW TO GET IT:
ELECTRONICALLY (pdf-format, 1.8 Mb)
ftp://ftp.cwi.nl/pub/morphology/report/Heijmans_Goutsias_part2.pdf
See also: ftp://ftp.cwi.nl/pub/CWIreports/PNA/
PAPER VERSION: contact:
Henk Heijmans email: henkh@cwi.nl
CWI
Kruislaan 413
NL 1098 SJ Amsterdam
The Netherlands
-------------------------------------------------------------------------------
5. Papers on scale-space analysis with automatic scale selection
-------------------------------------------------------------------------------
From: Tony Lindeberg (tony@nada.kth.se)
Papers on scale-space analysis with automatic scale selection
In the field of scale-space theory for computer vision, a framework for
automatic scale selection has been developed during the last few years.
Recently, a number of journal articles have come out on this subjct:
T. Lindeberg (1998) "Feature detection with automatic scale selection",
Int. J. of Computer Vision, vol 30, number 2, pp 77--116, 1998.
T. Lindeberg (1998) "Edge detection and ridge detection with automatic scale
selection", Int. J. of Computer Vision, vol 30, number 2, pp 117--154, 1998.
T. Lindeberg (1998) "A scale selection principle for estimating image
deformations, Image and Vision Computing, vol. 16, no.14, pp. 961--977, 1998.
Online information about the technical reports preceding these works is
available from:
http://www.nada.kth.se/cvap/abstracts/cvap198.html
http://www.nada.kth.se/cvap/abstracts/cvap191.html
http://www.nada.kth.se/cvap/abstracts/cvap196.html
and a comprehensive overview is presented in
http://www.nada.kth.se/cvap/abstracts/cvap222.html
ABSTRACT:
An inherent property of objects in the world is that they only exist as
meaningful entities over certain ranges of scale. If one aims at describing
the structure of unknown real-world signals, then a multi-scale
representation of data is of crucial importance. Whereas conventional
scale-space theory provides a well-founded framework for dealing with image
structures at different scales, this theory does not directly address the
problem of how to select appropriate scales for further analysis. This work
outlines a systematic methodology of how mechanisms for automatic scale
selection can be formulated in the problem domains of feature detection and
image matching (flow estimation), respectively.
For feature detectors expressed in terms of Gaussian derivatives,
hypotheses about interesting scale levels can be generated from scales at
which normalized measures of feature strength assume local maxima with
respect to scale. It is shown how the notion of $\gamma$-normalized
derivatives arises by necessity given the requirement that the scale
selection mechanism should commute with rescalings of the image pattern.
Specifically, it is worked out in detail how feature detection algorithms
with automatic scale selection can be formulated for the problems of edge
detection, blob detection, junction detection, ridge detection and
frequency estimation. A general property of this scheme is that the
selected scale levels reflect the size of the image structures.
When estimating image deformations, such as in image matching and optic
flow computations, scale levels with associated deformation estimates can
be selected from the scales at which normalized measures of uncertainty
assume local minima with respect to scales. It is shown how an integrated
scale selection and flow estimation algorithm has the qualitative
properties of leading to the selection of coarser scales for larger size
image structures and increasing noise level, whereas it leads to the
selection of finer scales in the neighbourhood of flow field
discontinuities.
-------------------------------------------------------------------------------
6. Special issue PR on random sets
-------------------------------------------------------------------------------
From: ContentsDirect from Elsevier Science (cdmailer@elsevier.co.uk)
URL: http://www.elsevier.nl/locate/jnlnr/00328
Journal: Pattern Recognition
ISSN : 0031-3203
Volume : 32
Issue : 9
Date : 09-Jun-1999
pp 1473-1474
Special issue on random sets. Introduction
ER Dougherty, I Molchanov
pp 1475-1505
Texture synthesis and pattern recognition for partially ordered
Markov models
JL Davidson, N Cressie, X Hua
pp 1507-1517
A new thresholding technique based on random sets
N Friel, IS Molchanov
pp 1519-1528
Corrections for systematic boundary effects in pixel-based area
counts
P Hall, IS Molchanov
pp 1529-1541
Maximum-likelihood estimation and optimal filtering in the
nondirectional, one-dimensional binomial germ-grain model
JC Handley, ER Dougherty
pp 1543-1567
Conditional expectation and martingales of random sets
C Hess
pp 1569-1586
Perfect simulation in stochastic geometry
WS Kendall, E Thonnes
pp 1587-1600
On the empty space function of some germ-grain models
G Last, M Holtmann
pp 1601-1613
Multidimensional scaling of simplex shapes
H Le, CG Small
pp 1615-1630
Averaging feature maps
T Lewis, R Owens, A Baddeley
pp 1631-1644
Size-biased random closed sets
MNM Van Lieshout
pp 1645-1648
On the relationship between the O-cell and the typical cell of a
stationary random tessellation
J Mecke
pp 1649-1655
The stereological unfolding problem for systems of homothetic
particles
M Nippe, J Ohser
pp 1657-1665
Robustness of granulometric moments
F Sand, ER Dougherty
pp 1667-1674
On the tractability of estimating the germ process of certain
germ-grain random set models and related problems
ND Sidiropoulos
pp 1675-1684
Intensity analysis of Boolean models
W Weil
-------------------------------------------------------------------------------
7. Course on mathematical morphology
-------------------------------------------------------------------------------
From: Rein van den Boomgaard (rein@wins.uva.nl)
ASCI course a11
MATHEMATICAL MORPHOLOGY
Principles, Algorithms and Applications
This course provides an comprehensive introduction to mathematical
morphology. Principles, algorithms and applications of will be covered in a
5 day course to be held at the University of Amsterdam in September 1999.
The course is open to all ASCI members and others interested in
mathematical morphology both from a theoretical as well as practical point
of view.
Lecturers at the course will be Ted Young (Delft University), Henk
Heijmans (CWI), Arnold Smeulders (UvA) and Rein van den Boomgaard (UvA).
This ensemble of speakers will provide a mix of educational, theoretical,
thought provoking and hopefully inspiring lectures.
Besides the lectures, several hours worth of practical sessions will be
organized. Most lectures will take place in the morning and most practical
work will be done in the afternoons.
Further information can be found in the webpages of the course
http://carol.wins.uva.nl/~rein/asci-mm/ or mail rein@wins.uva.nl
-------------------------------------------------------------------------------
8. CFP: 9th Discrete Geometry for Computer Imagery (DGCI 2000)
-------------------------------------------------------------------------------
From: DGCI 2000 organising committee (dgci2000@cb.uu.se)
9th Discrete Geometry for Computer Imagery (DGCI 2000)
13-15 December 2000
Centre for Image Analysis, Uppsala, Sweden
Information: http://www.cb.uu.se/~dgci2000
Contact: dgci2000@cb.uu.se
DEADLINE FOR PAPER SUBMISSION: 28 April 2000
SCIENTIFIC TOPICS
Theory and applications, especially within image analysis and
computer graphics, on
* Topology * Surfaces and Volumes
* Geometrical Transforms * Shape Representation
* Models for Discrete Geometry * Shape Understanding
* Visualisation * Image Generation and Reconstruction
* Tilings and Patterns * Discrete Tomography
Proceedings will be published in the Springer-Verlag LNCS series.
Extended versions of about 15 selected papers will be published in
a special issue of Pattern Recognition Letters.
For more information about the conference, committees, paper submission,
venue, etc., see http://www.cb.uu.se/~dgci2000.
A paper version of the Call for Paper is on its way to a large number of
addresses where we know colleagues are working on the conference topics.
If you for some reason do not receive a Call for Paper within a week,
please e-mail dgci2000@cb.uu.se and ask for one.
Do not hesitate to ask any questions to dgci2000@cb.uu.se
---
Gunilla Borgefors Gabriella Sanniti di Baja Ingela Nystr�m
-------------------------------------------------------------------------------
9. Workshop on stochastic geometry and spatial statistics
-------------------------------------------------------------------------------
From: Marie-Colette van Lieshout (colette@cwi.nl)
Dear colleagues,
As part of its Complex Statistical Models programme, Eurandom is organising
a workshop on stochastic geometry and spatial statistics. The workshop will
be held 27 - 29 April 2000 in Eindhoven, The Netherlands.
The program will consist of invitated talks by international experts, with
time allocated for informal contacts. More information can be found on
http://www.cwi.nl/~colette/eurandom.html. If you would like to participate,
please let either me or Mrs Connie Cantrijn (cantrijn@eurandom.tue.nl)
know.
With best wishes,
Marie-Colette van Lieshout
----
Dr M N M van Lieshout Tel: +31 20 592 4008
Centrum voor Wiskunde en Informatica Fax: +31 20 592 4199
Kruislaan 413, 1098 SJ Amsterdam
The Netherlands
-------------------------------------------------------------------------------
10. CFP: ICPR'2000 (International Conference on Pattern Recognition)
-------------------------------------------------------------------------------
From: Anya (otac@infase.es)
15th INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
Barcelona, Catalonia, Spain, 3-8 September 2000
Hotel Barcelo Sants
http://www.cvc.uab.es/icpr2000
CALL FOR PAPERS
ICPR2000 is the fifteenth international conference sponsored by the
International Association for Pattern Recognition (IAPR). The conference
is held every two years and, in 2000, it will be held in Barcelona,
Spain. ICPR2000 will be an international forum for discussion on recent
advances in the fields of Computer Vision, Pattern Recognition, Neural
Networks, Image, Speech and Signal Processing and Robotics, as well as
on their applications. Participants will have the opportunity to attend
highly specialised presentations and to meet colleagues from the above
fields. In addition, Barcelona offers a combination of history and
modern convenience for attendants to enjoy from the Gothic Quarter,
Picasso Museum, or Gaud�'s G�ell Park and Sagrada Familia to the more
recent Olympic Ring or the Maremagnum.
General Co-Chairs:
Alberto Sanfeliu, IRI - Univ. Politecnica de Catalunya
Juan Jose Villanueva, CVC - Univ. Autonoma de Barcelona
Local Organisation Co-Chairs:
Maria Vanrell, CVC - Univ. Autonoma de Barcelona
Rene Alquezar, LSI - Univ. Politecnica de Catalunya
Tutorial Chair:
Joan Climent ESAII - Univ. Politecnica de Catalunya
Workshops Chair:
Maria Ines Torres Univ. Pais Vasco/Euskal Herriko Unibertsitatea
Conference Track Chairs:
Computer Vision and Image Analysis:
Yiannis Aloimonos, Univ. Maryland, USA
Jan-Olof Eklundh, Royal Inst. Techn., Sweden
Pattern Recognition and Neural Networks:
Anil K. Jain, Michigan State Univ., USA
Josef Kittler, Univ. Surrey, UK
Image, Speech and Signal Processing:
Tom Huang, Beckman Inst., USA
Jean Serra, CMM, France
Applications, Robotics, Systems and Architectures:
James Crowley, LIFIA, France
Yoshiaki Shirai, Osaka University, Japan
Local Organizing Committee
Rafael Aracil - DISA - Univ. Politecnica de Madrid
Joan Aranda, DESAII - Univ. Politecnica de Catalunya
Francesc Casacuberta, DSIC - Univ. Politecnica de Valencia
Antoni Grau, DESAII - Univ. Politecnica de Catalunya
Josep Llados, CVC - Univ. Autonoma de Barcelona
Enric Marti, CVC - Univ. Autonoma de Barcelona
Judit Martinez, CVC - Univ. Autonoma de Barcelona
Augusto Moragas, Hosp. Vall d'Hebron de Barcelona
Nicolas Perez de la Blanca DECSAI - Univ. de Granada
Xavier Roca, CVC - Univ. Autonoma de Barcelona
Joan Serrat, CVC - Univ. Autonoma de Barcelona
Francesc Serratosa, DEI - Univ. Rovira i Virgili de Tarragona
Federico Thomas, IRI - Univ. Politecnica de Catalunya/CSIC
Carme Torras, IRI - Univ. Politecnica de Catalunya/CSIC
Jordi Vitria, CVC - Univ. Autonoma de Barcelona
Topics
Tracks include the following topics:
Computer Vision and Image Analysis, Early Vision, Representation,
Segmentation, Recognition (2D and 3D), Active Vision, Scene Understanding,
Visual Navigation, Shape from X Motion Analysis, Texture and Colour,
Feature extraction
Pattern Recognition and Neural Networks
Statistical Pattern Recognition, Structural and Syntactic Pattern Recognition
AI-based Pattern Recognition Techniques, Multiresolution Classification
Neural Networks for Classification and Regression, Self-Organising Networks
Associative Memories, Learning, Feature Selectionm, Dimensionality Reduction
Invariance in Recognition
Image, Speech and Signal Processing
Filtering, Enhancement and Restoration, Image Registration, Signal Coding
and Compression, Signal Segmentation, Speech Processing, Speech
Understanding Image and data representations, Mathematical Morphology,
Wavelets, Visualisation
Applications, Robotics, Systems and Architectures
Automation and Robotics, Visual Inspection, Surveillance, OCR and Document
Analysis, Biomedical Imaging, Range Imaging, Smart Sensors, Mobile Robots
Real Time Systems, Image Database Systems, Remote Sensing Applications,
VLSI Architectures, Multiprocessor Systems, Parallel Algorithms and
Languages, Multimedia
Important Dates:
Paper submission deadline: November 15th, 1999
Acceptance notification: February 1st, 2000
Camera-ready copy submission: April 1st, 2000
Lower registration fee deadline:May 1st, 2000
Paper submission
Authors are requested to submit their papers before November 15th, 1999.
Papers should be written in English, with a maximum extension of 4 pages
per paper and omitting authors' name and affiliation. In addition, a
separate page must include title of paper, the names, affiliations and
e-mail addresses of authors as well as postal address of the contact
author, together with the paper abstract, a list of keywords and the
preferred conference track and type of presentation (oral or poster).
Papers should be submitted electronically using one of the required file
formats that will be available shortly at the Conference web site
(http://www.cvc.uab.es/ICPR2000). Alternatively, authors may send five
copies of the paper on DIN A4 to the Conference Secretariat address.
Review process
Papers will be subject to blind review. Selection criteria include
accuracy and originality of ideas, clarity and significance of results
and quality of the presentation.
Accepted papers will be scheduled for oral or poster presentation and
will be printed in the Proceedings. Authors of accepted papers, or at
least one of them, should be registered and are expected to present
their works (oral or poster presentations) in the conference.
Call for Contest Participation
ICPR2000 offers the possibility to participate in several competitions
of algorithms and techniques. More information will be available in the
Contest section of the web site (http://www.cvc.uab.es/icpr2000).
Results of each contest will be published as a paper in the conference
proceedings.
Tutorial Proposals
ICPR'2000 invites proposals for the Tutorial Program. Tutorials will be
held on September 3rd, 2000 immediately before the start of the main
conference. Tutorials will be offered both on standard topics and on new
and more advanced topics.
Those interested in presenting a tutorial should submit a proposal to
the ICPR'2000 Tutorial Chair, Prof. Joan Climent (climent@esaii.upc.es)
before February 1st, 2000. A tutorial proposal should contain the
following information:
- A brief description of the tutorial. It has to be suitable for
inclusion in the conference registration brochure.
- A detailed outline of the tutorial.
- Necessary background and potential target audience for the tutorial.
- A brief resume of the presenter(s), which should include name, postal
address, phone and fax numbers, e-mail address if available, background
in the tutorial area and any available example of work in the area
(ideally, a published tutorial-level article on the subject).
Those submitting a proposal should keep in mind that tutorials are
intended to provide an overview of the field; they should present
reasonably well established information in a balanced way.
Workshops
The Joint Workshop S+SSPR'2000, that will join together the two IAPR
International Workshops on Statistical Pattern Recognition and
Structural-Syntactic Pattern Recognition, respectively, will be held
in Alicante (Spain) from August 30 to September 1. In addition,
ICPR'2000 will promote some workshops on specific topics in the previous
or later days of the conference. Those interested in organising a
workshop near Barcelona during these days should contact
Prof. Maria Ines Torres (manes@we.lc.ehu.es), who will coordinate
and support these events.
Secretariat Address:
OTAC, S.A.
Gran Via Corts Catalanes, 454 - 1�, 08015-Barcelona (Spain)
Phone: +34 93 423 94 08, Fax: +34 93 325 27 08
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11. Forthcoming events
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See also: http://www.cwi.nl/projects/morphology/calendar.html
6 - 16 July 1999 Bellaterra, Spain
Advanced course on mathematical aspects of image processing
http://crm.es/info/acmaip/acmaip.html
12 - 15 July 1999 Manchester, UK
Seventh IEE Conference on Image Processing and its Applications
http://www.iee.org.uk/Conf/IPA/
1 - 3 September 1999 Ljubljana, Slovenia
CAIP'99: 8th Intern. Conf. on Computer Analysis of Images and Patterns,
http://razor.fri.uni-lj.si/CAIP99
6 - 8 September 1999 Budapest, Hungary
FSPIPA'99: Fundamental Structural Properties in Image and Pattern Analysis
http://visual.ipan.sztaki.hu/FSPIPA99
8 - 9 September 1999 Dublin, Ireland
Irish Machine Vision and Image Processing Conference 1999
http://www.eeng.dcu.ie/~whelanp/home.html
13 - 17 September 1999 Amsterdam, The Netherlands
ASCI course Mathematical Morphology: Principles, Algorithms and Applications
http://carol.wins.uva.nl/~rein/asci-mm/
20 - 25 September 1999 Corfu, Greece
ICCV '99 International Conference on Computer Vision
http://www.cs.toronto.edu/iccv99/
26 - 27 September 1999 Corfu, Greece
Scale-Space '99: Second International Conference on Scale-Space
http://www.diku.dk/scalespace99/
27 - 29 September 1999 Venice, Italy
International Conference on Image Analysis and Processing (ICIAP99)
http://www.dimi.uniud.it/~iciap99/
25 - 28 October 1999 Kobe, Japan
ICIP '99: 6th IEEE International Conference on Image Processing
http://icip99.ozawa.ics.keio.ac.jp/
27 - 29 April 2000 Eindhoven, The Netherlands
Workshop on stochastic geometry and spatial statistics
http://www.cwi.nl/~colette/eurandom.html
26 - 28 June 2000 Palo Alto, California, USA
International Symposium on Mathematical Morphology (ISMM2000)
http://www.parc.xerox.com/ismm2000
3 - 8 September 2000 Barcelona, Spain
15th International Conference on Image Processing (ICPR2000)
http://www.cvc.uab.es/icpr2000
13 - 15 December 2000 Uppsala, Sweden
9th Discrete Geometry for Computer Imagery (DGCI 2000)
http://www.cb.uu.se/~dgci2000
-------------------------------------------------------------------------------
12. Recent literature
-------------------------------------------------------------------------------
@article{AgamDins:99,
author = "G. Agam and I. Dinstein",
title = "Regulated morphological operations",
journal = "Pattern Recognition",
year = "1999",
volume = "32",
number = "6",
pages = "947-971"
}
@article{BorgNystSann:99,
author = "G. Borgefors and I. Nystrom and G. Sanniti Di Baja",
title = "Computing skeletons in three dimensions",
journal = "Pattern Recognition",
year = "1999",
volume = "32",
number = "7",
pages = "1225-1236"
}
@book{DougAsto:99,
editors = "E. R. Dougherty and J. T. Astola",
title = "Nonlinear Filters for Image Processing",
publisher = "SPIE/IEEE",
series = "SPIE/IEEE Series on Imaging Science \& Engineering",
year = "1999"
}
@article{FerrUbed:99,
author = "A. Ferreira and S. Ubeda",
title = "Computing the medial axis transform in parallel
with eight scan operations",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
year = "1999",
volume = "21",
number = "3",
pages = "277--282"
}
@article{GarcPetrKama:99,
author = "P. Garcia and M. Petrou and S. Kamata",
title = "The use of Boolean model for texture analysis of grey images",
journal = "Computer Vision and Image Understanding",
year = "1999",
volume = "74",
number = "3",
pages = "227--235"
}
@book{Soil:99,
author = "P.~Soille",
title = "Morphological Image Analysis",
subtitle = "Principles and Applications",
publisher = "Springer-Verlag",
year = 1999,
address = "Berlin"
}
@article{SuLiLodw:98,
author = "B. Su and Z. Li and G. Lodwick",
title = "Morphological models for the collapse of area features in
digital map generalization",
journal = "GeoInformatica",
year = "1998",
volume = "2",
number = "4",
pages = "359-382"
}
@article{Yoda:99,
author = "I. Yoda",
title = "Automatic acquisition of hierarchical mathematical
morphology procedures by genetic algorithms",
journal = "Image and Vision Computing",
year = "1999",
volume = "17",
number = "10",
pages = "749-760"
}
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End of Morphology Digest
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