Solar Image Recognition workshop, Brussels 2003/10/23-24

Solar Physics Department
of the Royal Observatory of Belgium


                      ALPHABETICAL LIST OF PARTICIPANTS 

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Aboudarham, Jean (together with FULLER Nicolas) 
Jean.Aboudarham@obspm.fr
LESIA - Observatoire de Paris
Filament recognition on Meudon H alpha spectroheliograms
We first apply cleaning processes to correct images from their defaults (such as dust lines, dark points,
 ...) and then using region growing technics, we detect filaments automatically on the images. In order 
to check the validity of the processing, we compare our results to the synoptic maps of Meudon. The 
agreement is very good. The technics used here can then be applied to produce a reliable catalog of 
filaments in the frame of the EGSO project.

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AKINSANMI, ABAYOMI 
omotyakin@yahoo.com
Yemas Tech Ltd
System Engineer

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Antoine, Jean-Pierre
Université Catholique de Louvain, Belgium

Expression of interest:
Continuous Wavelets

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ARTZNER, Guy
artzner@ias.u-psud.fr
IAS/CNRS ORSAY

Expression of interest:
   Detection  d\'erruptions solaires a partir du programme
  synoptique  SOHO/EIT 

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Benkhalil , Ali
a.k.benkhalil@bradford.ac.uk
EGSO, University of Bradfort
An Automated Detection of Active Regions from Full Disk Solar Images
Abstract:
The techniques are developed for an automated detection of Active
Regions, bright areas on a darker background, using Há, Ca II K3 solar
images from the Meudon observatory and EUV solar images from the EIT
instrument  aboard  of the Solar and Heliospherical Observatory (SOHO).   An initial segmentation of active regions is achieved using intensity thresholds determined using statistical information from each quarter of full disk solar images. Median filtering and morphological operations are applied to the resulting binary image to remove noise and to merge broken regions. The centre of gravity of each labelled region is used as a seed for a region growing procedure. Statistically based local thresholding is applied to calculate upper and lower threshold values defining the spatial extents of the regions. This procedure has been tested on full-disk solar images from the Meudon observatory for the whole month of April 2002 and compared with their manual synoptic maps.

The active regions detected using the presented technique were also
compared with those of the National Oceanic and Atmospheric Administration
observatory (NOAA) revealing a very good correspondence. The vertical 
(pseudo-3D) structures of active regions observed from the corona, chromosphere and the photosphere are presented for the few biggest features present during this month.

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Bob Bentley
rdb@mssl.ucl.ac.uk
University College London

Talk: "The need for automated feature recognition in the EGSO project"
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Berghmans, David 
Royal Observatory of Belgium

Talk: "Automated CME detection in LASCO images"

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Berrilli, Francesco
berrilli@roma2.infn.it
Physics Department - Rome \"Tor Vergata\" University
Segmentation Of Photospheric And Chromospheric Solar Features

Francesco Berrilli, Dario Del Moro, Arnaldo Florio, Luca Santillo
 
Dipartimento di Fisica - Universit\\\'a di Roma \"Tor Vergata\" -
I-00133 Rome (Italy)
 
 Segmentation Of Photospheric And Chromospheric Solar Features
 
    We describe the application of a multiscale Laplacian-of-Gaussian
(LoG) operator and of an iterative version of Medial Axis Transform (i-MAT)
as tools for the segmentation of both photospheric and chromospheric
solar images. We introduce the multiscale LoG operator in order to extract
 compact structures like photospheric intensity (granules) or velocity
(up flow) features. The second method, based on an i-MAT algorithm working
on gray level images, is introduced to trace reticulated structures like
chromospheric network or intergranular lanes. The developed numerical
procedures permit a non-subjective segmentation of solar images in
order to investigate morphological (shape) and topological (spatial
distribution) properties of identified features.
We discuss the output of the segmentation procedures when applied
to test images. Particularly, we apply the i-MAT algorithm to Ca II K
band full-disk images obtained at the Tor Vergata Solar Station, and the
multiscal LoG algorithm to broad band high spatial resolution images
obtained at the Dunn Solar and THEMIS telescopes.

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Chapman, Steven
sachapman@uclan.ac.uk
University of central Lancashire

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Cabrera Juan
cabrera@fynu.ucl.ac.be
IASB

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Criscuoli, Serena
serenacriscuoli@tiscalinet.it
Osservatorio Astronomico di Roma
       
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Csillaghy, Andre
 csillag@fh-aargau.ch
 University of Applied Sciences Northwestern Switzerland

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Del Moro, Dario 
delmoro@roma2.infn.it
Physics Department - Rome \"Tor Vergata\" University
Segmentation Of Photospheric And Chromospheric Solar Features
Francesco Berrilli, Dario Del Moro, Arnaldo Florio, Luca Santillo

Dipartimento di Fisica - Universita` di Roma \"Tor Vergata\" - I-00133 Rome (Italy)

Segmentation Of Photospheric And Chromospheric Solar Features

   We describe the application of a multiscale Laplacian-of-Gaussian (LoG) operator and of an iterative 
version of Medial Axis Transform (i-MAT) as tools for the segmentation of both photospheric and 
chromospheric solar images. We introduce the multiscale LoG operator in order to extract compact 
structures like photospheric intensity (granules) or velocity (up flow) features. The second method, 
based on an i-MAT algorithm working on gray level images, is introduced to trace reticulated structures 
like chromospheric network or intergranular lanes. The developed numerical procedures permit a 
non-subjective segmentation of solar images in order to investigate morphological (shape) and 
topological (spatial distribution) properties of identified features.
   We discuss the output of the segmentation procedures when applied to test images. Particularly, we 
apply the i-MAT algorithm to Ca II K band full-disk images obtained at the Tor Vergata Solar Station, 
and the multiscal LoG algorithm to broad band high spatial resolution images obtained at the Dunn Solar 
and THEMIS telescopes.


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Clette, Frederic
Royal Observatorty of Belgium
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Curto, J.J. , Blanca, M.
jjcurto@obsebre.es
Observatori de l\'Ebre, CSIC-URL, Spain

"Automatic detection of sunspots and group classification from white full disc 
images" (poster)
We present the technique we developed for an automatic identification of
sunspots on white light full disk images. Strategies for noise removal and
mathematical tools used will be discussed.

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De Groof, Anik                    
anik.degroof@wis.kuleuven.ac.be

Centrum voor Plasma-Astrofysica          
K.U.Leuven                      
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Delaboudiniere
boudine@ias.fr
IAS/CNRS  ORSAY F91405

Interruptions imprevisibles 

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Dudok de Wit
ddwit@cnrs-orleans.fr
LPCE, University of Orléans, France
A local correlation function for matching stereoscopic images
We consider the problem of matching chromospheric structures from stereoscopic images 
(as provided by Stereo during its first months). 

Rather than fitting ad hoc models to the structures, we use multiscale techniques to 
correlate the images locally. From the 2D continuous wavelet transform, one can define a 
so-called \"local correlation function\", which has numerous advantages over classical 
correlation functions: it adapts itself to the scale of the structure of interest, and it 
is more easily amenable to a systematic analysis. Some examples will be given, based on synthetic stereo pairs built from EIT images.
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Fuller, Nicolas 
LESIA - Observatoire de Meudon
(together with ABOUDARHAM Jean)

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Getling, Alexander V.
A.Getling@ru.net
Institute of Nuclear Physics, Lomonosov Moscow State University
Regularities in averaged granulation patterns
La Palma granulation images averaged over a period of 2 h or so reveal quasi-regular structures in the 
form of concentric rings and straight or slightly wavy strips (Getling & Brandt, A&A 382, L5, 2002). The
 software package developed in the Institute of Computational Mathematics and Mathematical Geophysics
 (Novosibirsk, Russia) for the recognition of structures in aerospace images was tentatively employed to
 analyse solar images. The most noteworthy result is the detection of a strong anisotropy in the 
averaged granulation patterns.

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Gallagher,Peter 
Goddard Space Flight Center, Washington

Talk: "Active region monitor"
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Gissot, Samuel 
Royal Observatory of Belgium

Talk: "Motion tracking using optical flow techniques on EIT image sequences"

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Gyori, Lajos
ls@bekesnet.hu
Heliophysical Observatory of the Hungarian Academy of Sciences,
      Gyula Observing Station



Compiling sunspot catalogue: the principles


Abstract. A method for automated determination of the area and the
heliographic coordinates of sunspots are presented. It is an important
feature of the technique that it extracts information about the
structure of the sunspot group, too. On the bases of the principles
presented  I have developed computer programs encompassing every aspect
of drawing up a sunspot catalogue.




Compiling sunspot catalogue: the practice


             Compiling sunspot catalogue: the practice

          Lajos Gyori (1), Tunde Baranyi (2), Gyorgy Mezo (2)

  (1) Heliophysical Observatory of the Hungarian Academy of Sciences,
      Gyula Observing Station, 5701 Gyula, P.O. Box 93, Hungary

  (2) Heliophysical Observatory of the Hungarian Academy of Sciences,
                 4010 Debrecen, P.O. Box 30, Hungary


Abstract. The principles of an automated sunspot catalogue compilation
are outlined in another presentation of this conference. But generally
any principle has a limit. When we are compiling a sunspot catalogue so
that there should be no gaps in it we must use solar images that are
very different in the quality and the method they were made. So it is
natural that we will approaches the limit of the principle used to
automate the process and in this case we should find a workaround.
A matter of course that having suitable solar images are prerequisite
for drawing up a sunspot database. Nowadays there are problems in this
field. It is not enough to create a catalogue it is also important that
its use should be as easy and fast as possible. In this paper we address
these questions.


Note:
We would like present this paper as a poster.
Only Lajos Gyori shall participate to the meeting.


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Hochedez, Jean-Francois 
Royal Observatory of Belgium

Talk: "Wavelet analysis of EIT bright points"

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Jacques, Laurent
ljacques@fyma.ucl.ac.be
FYMA/UCLouvain
Detection and Classification of Bright-Points by Continuous Wavelet Transform.
Coronal Bright Points are detected in the EIT 284A images by using the information given 
by the continuous wavelet transform. More precisely, we develop a method based on the study of the 
lines of modulus maxima in the 2D continuous wavelet transform, to localize and characterize BPs 
from their size and from the coronal area where they appear.

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Kasia, Mikurda
kasia@kis.uni-freiburg.de
Kiepenheuer Institut Fuer Sonnenphysik
The motivation to use pattern recogniction in investigations of solar photosphere
Solar photosphere evolves in a very dynamic way. Granules or photospheric 
fine structures have to be tracked.in order to investigate their physical 
properties, dynamics and evolution. Common methodes (i.g. correlation tracking)
are often insufficient, so it is necessary to apply more sophisticated pattern recogniction
algorithms.

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LLEBARIA, ANTOINE
antoine.llebaria@oamp.fr
LABORATOIRE D4ASTROPHYSIQUE DE MARSEILLE (CNRS)

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Marilena, Mierla
mierla@linmpi.mpg.de
Max Planck Institute for Aeronomie, Germany 
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Nicula, Bogdan
bogdan@oma.be
Royal Observatory of Belgium


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Pauluhn, Anuschka 
anuschka.pauluhn@issi.unibe.ch
International Space Science Institute
none
Interest:
flares and QS cells/network descriptions

(only coming to Thursday afternoon session)
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Podlipnik, Borut 
podlipnik@linmpi.mpg.de
Max-Planck-Institut fuer Aeronomie


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Portier-Fozzani, Fabrice
Fabrice.3DSun@free.fr
None
Multiscale Vision Model to improve 3D image processing for the solar corona

In a previous paper (Portier-Fozzani F., Vandame B., Bijaoui A., Maucherat,
 A. J. and EIT Team, 2001, Solar Physics, v. 201, Issue 2, p. 271-287)
 we derived how a method called Multiscale Vision Model, based on wavelet
 transformations, can be adapted to solar coronal images to optimize 
detection of various size objects, however complex they may be. 
After a description for the correct use of this method with SOHO/EIT and 
SOHO/LASCO, we define how it could be used in the future to help the 
matching in stereoscopic methods with STEREO. 

In a second part of the talk, I will present how classical methods must be
 adapted to obtain good stereovision inversion techniques for optical thin
 medium such as solar corona.
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Potts, Hugh 
University of Glasgow

Talk: "Flow analysis in continuum data"

Abstract:
 I have been recently working on a
 very efficient method (about 200x faster than existing methods) for
 analysing photospheric flows from continuum data. 

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Qahwaji, Rami
r.s.r.qahwaji@brad.ac.uk
BSc, MSc, PhD, ISCA member
Automatic Detection of Filaments in Solar 

A fast hybrid system for automated detection of filaments in solar images, is presented in this talk. 
The system includes three major stages. The central solar region is detected in the first stage. 
The morphological hit-miss transform, watershed transform and the Filling algorithm are implemented 
in this stage. Intensity filters and image enhancement techniques are implemented in the second stage 
to enhance the quality of detection in the central region. A Combination of mosaic technique and 
detection windows is implemented in the third stage to detect the positions of filaments and to 
define rectangular windows just containing them. The detected regions can be input later to a neural 
network for verification purposes. 

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Raju, K.P.

prkuttickat@uclan.ac.uk
Centre for astrophysics, University of Central Lancashire
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Rees, David
david.rees@ozietec.com
ozIEtec (australian Intelligent Environment technologies)
Innovative IT for Space Weather Research
Innovative IT for Space Weather Research is a 4 year NSF funded project to develop a real time space 
weather monitoring and forecasting system. The project has just started and the team is Haimin Wang 
(PI - BBSO/NJIT), Carsten Denker (BBSO/NJIT), Christof Keller (NSO), Frank Shih (CCS/NJIT), 
Alex Gerbessiotis (CCS/NJIT), Mats Lofdahl (RSAS) and David Rees (ozIEtec). I will give an overview of 
the project, which covers a range of technologies including phase diversity speckle imaging, parallel 
computing, and solar image recognition. 
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Robbrecht, Eva

Eva.Robbrecht@oma.be
Royal Observatory of Belgium
CACTUS: Computer Aided CME-tracking
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Rust, David
dave.rust@jhuapl.edu
Johns Hopkins University Applied Physics Lab
Automated Detection and Classification of Solar Filaments


Kiri Wagstaff and David Rust
The Johns Hopkins University Applied Physics Laboratory
Laurel, MD, 20723, USA

We have developed an automated filament detector and classifier that can contribute to 
Living With a Star science investigations and space weather forcasting. The program 
catalogs filament heliographic position, lifetime, and morphological classification.  We 
aim to classify each filament as growing, stable, or disappearing by matching filaments 
from day to day and looking for changes in size or the inability to find a match.  
Another important attribute detected automatically is the chirality, or \"handedness\", 
of the filament.  Knowledge of chirality helps in forecasting the pattern of 
interplanetary magnetic field disturbances after filament eruptions.


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sanchez-pasquignon, Olivia
sanchez@ceremade.dauphine.fr
ceremade. universite paris 9

Fields of interest:

Motion tracking using optical flow techniques.



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Slemzin, Vladimir
P.N. Lebedev Physics Institute RAS,

Expression of interest:
Fields of my interest are: recognition of flares, CME
and other transient phenomena in the EUV-images of solar corona,
motion tracking.


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Stenborg, Guillermo 
Catholic University, Washington
 
Talk: "Solar image enhancement and noise filtering using wavelets"

Abstract:
 Image enhancement and noise filtering of solar images
 by using wavelet-based techniques and its potential applications to the
 improvement of both "edge-detection" and "automatic tracking" methods
 (Reference paper: Stenborg & Cobelli, A&A, 2003).
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Van der Linden, Ronald 
Royal Observatory of Belgium

Talk:"Solar weather Browser"
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Vanlommel Petra
Petra.vanlommel@oma.be
Royal Observatory of Belgium

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Wills-Davey, Meredith
meredith@boulder.swri.edu
SwRI, Boulder, Colorado, USA

Expression of Interest:
   I am interested in developing enhanced recognition techniques that can be used to automatically 
find and track dim, coherent coronal motion -- for instance, \"EIT waves.\"  To work, these methods must 
better mimic the motion tracking of the human eye, relying more on subtle motion detection and pattern 
recognition, rather than just intensity gradients.


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Friedrich Woeger
woeger@kis.uni-freiburg.de
Kiepenheuer Institut fuer Sonnenphysik, Freiburg


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Young, C. Alex Y
alex.young@gsfc.nasa.gov
GSFC/NASA (L-3)

Multiscale Feature Identification in Solar Flares and CMEs

Many advances in image processing techniques well suited for solar data
have occured in the past decade. Multiscale methods offer a powerful
approach to solar image processing and analysis. In this paper,
wavelet-based methods are applied to a sequence of TRACE 195 passband 
and LASCO images to identify faint features associated with the 
2002 April 21 X-class flare and CME. Morphological properties, such
as feature width, height, velocity and acceleration are then extracted,
and compared to recent results from traditional image processing
techniques.

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Zhang, Jie
Center for Earth Observing and Space Research
George Mason University, Fairfax, VA 22030, USA

Expression of interest:
Especially, I am interested in solar activity identification, such as
CMEs/Flares/Dimmings.


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Zharkov, Sergei
s.zharkov@brad.ac.uk
EGSO, Bradford University
\"An automated detection of sunspots from Ca II K1 and SOHO/MDI images\"
A new technique for an automatic identification of sunspots on the Ca K1
line and \"white light\" full disk images is presented. The technique permits
a robust detection of the features on noisy images of
ground based observations which could be distorted either by weather
conditions.  Automatic Detection on SOHO/MDI intensity photograms is used to
build Sunspot Catalog, which is cross-referenced with SOHO/MDI magnetogram
data. This research forms a part of the solar feature recognition work
package for the European Grid of Solar Observations (EGSO) project.

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Zharkova, Valentina
v.v.zharkova@brad.ac.uk
Cybernetics Department, Bradford University

TALK 1: Survey of the existing solar feature recognition techniques

 We summarize well known techniques used for general pattern recognition in the application for an 
automated recognition of the main features visible on solar images in various wavelengths. 

TALK 2 (representing Ipson, Stan): "Automated location of magnetic neutral lines"

Abstract: This talk reviews methods for the extraction of neutral lines from 
solar magnetograms in the contexts of both filaments and flares, including a 
new approach based on the Euclidian distance transform. The temporal variation 
of the neutral lines in the vicinity of a flare is also investigated. 

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