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Publications of type 'inproceedings'
Result of the query in the list of publications :
245 Conference articles |
161 - Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery. M. Rochery and I. H. Jermyn and J. Zerubia. In Proc. IEEE Workshop Variational, Geometric and Level Set Methods in Computer Vision, at ICCV, Nice, France, October 2003. Keywords : Higher-order, Active contour, Shape, Road network, Segmentation, Prior.
@INPROCEEDINGS{Rochery03a,
|
author |
= |
{Rochery, M. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery}, |
year |
= |
{2003}, |
month |
= |
{October}, |
booktitle |
= |
{Proc. IEEE Workshop Variational, Geometric and Level Set Methods in Computer Vision}, |
address |
= |
{at ICCV, Nice, France}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/rochery_vlsm03.pdf}, |
keyword |
= |
{Higher-order, Active contour, Shape, Road network, Segmentation, Prior} |
} |
Abstract :
We present a novel method for the incorporation of shape information
into active contour models, and apply it to the extraction
of line networks (e.g. road, water) from satellite imagery.
The method is based on a new class of contour energies.
These energies are quadratic on the space of one-chains
in the image, as opposed to classical energies, which are linear.
They can be expressed as double integrals on the contour,
and thus incorporate non-trivial interactions between
different contour points. The new energies describe families
of contours that share complex geometric properties, without
making reference to any particular shape. Networks fall
into such a family, and to model them we make a particular
choice of quadratic energy whose minima are reticulated.
To optimize the energies, we use a level set approach. The
forces derived from the new energies are non-local however,
thus necessitating an extension of standard level set methods.
Promising experimental results are obtained using real
images. |
|
162 - Décomposition D'images: Application Aux Images RSO. J.F. Aujol and G. Aubert and L. Blanc-Féraud and A. Chambolle. In Proc. GRETSI Symposium on Signal and Image Processing, Paris, France, September 2003.
@INPROCEEDINGS{jf_gretsi,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L. and Chambolle, A.}, |
title |
= |
{Décomposition D'images: Application Aux Images RSO}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
address |
= |
{Paris, France}, |
url |
= |
{http://documents.irevues.inist.fr/handle/2042/13577}, |
keyword |
= |
{} |
} |
|
163 - Wavelet-Based Level Set Evolution for Classification of Textured Images. J.F. Aujol and G. Aubert and L. Blanc-Féraud. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
@INPROCEEDINGS{jf_icip,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Wavelet-Based Level Set Evolution for Classification of Textured Images}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona, Spain}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1246863}, |
keyword |
= |
{} |
} |
|
164 - Texture Analysis: An Adaptive Probabilistic Approach. K. Brady and I. H. Jermyn and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003. Keywords : Adaptive, Wavelet packet, Statistics, Texture.
@INPROCEEDINGS{Brady03,
|
author |
= |
{Brady, K. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Texture Analysis: An Adaptive Probabilistic Approach}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona, Spain}, |
pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/Brady03icip.pdf}, |
keyword |
= |
{Adaptive, Wavelet packet, Statistics, Texture} |
} |
Abstract :
Two main issues arise when working in the area of texture
segmentation: the need to describe the texture accurately by
capturing its underlying structure, and the need to perform
analyses on the boundaries of textures. Herein, we tackle
these problems within a consistent probabilistic framework.
Starting from a probability distribution on the space of infinite
images, we generate a distribution on arbitrary finite
regions by marginalization. For a Gaussian distribution, the
computational requirement of diagonalization and the modelling
requirement of adaptivity together lead naturally to
adaptive wavelet packet models that capture the ‘significant
amplitude features’ in the Fourier domain. Undecimated
versions of the wavelet packet transform are used to diagonalize
the Gaussian distribution efficiently, albeit approximately.
We describe the implementation and application of
this approach and present results obtained on several Brodatz
texture mosaics. |
|
165 - Extraction de réseaux linéiques à partir d'images satellitaires par processus Markov objet. C. Lacoste and X. Descombes and J. Zerubia and N. Baghdadi. In Proc. GRETSI Symposium on Signal and Image Processing, Paris, France, September 2003.
@INPROCEEDINGS{lacosteXDJZNB03,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J. and Baghdadi, N.}, |
title |
= |
{Extraction de réseaux linéiques à partir d'images satellitaires par processus Markov objet}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
address |
= |
{Paris, France}, |
url |
= |
{http://documents.irevues.inist.fr/handle/2042/13529}, |
keyword |
= |
{} |
} |
|
166 - Road Network Extraction in Remote Sensing by a Markov Object Process. C. Lacoste and X. Descombes and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
@INPROCEEDINGS{lacosteXDJZ03,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Road Network Extraction in Remote Sensing by a Markov Object Process}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona, Spain}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1247420}, |
keyword |
= |
{} |
} |
|
167 - Filtering interferometric phase images by anisotropic diffusion. C. Lacombe and G. Aubert and L. Blanc-Féraud and P. Kornprobst. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, September 2003.
@INPROCEEDINGS{ClacombGALBFPK,
|
author |
= |
{Lacombe, C. and Aubert, G. and Blanc-Féraud, L. and Kornprobst, P.}, |
title |
= |
{Filtering interferometric phase images by anisotropic diffusion}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona}, |
url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1247201}, |
keyword |
= |
{} |
} |
|
168 - Étude D'une Nouvelle Classe de Contours Actifs Pour la Détection de Routes Dans Des Images de Télédétection. M. Rochery and I. H. Jermyn and J. Zerubia. In Proc. GRETSI Symposium on Signal and Image Processing, Paris, France, September 2003.
@INPROCEEDINGS{Rochery03,
|
author |
= |
{Rochery, M. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Étude D'une Nouvelle Classe de Contours Actifs Pour la Détection de Routes Dans Des Images de Télédétection}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
address |
= |
{Paris, France}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/rochery_gretsi03.pdf}, |
keyword |
= |
{} |
} |
|
169 - Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images. K. Brady and I. H. Jermyn and J. Zerubia. In Proc. British Machine Vision Conference (BMVC), Norwich, U. K., September 2003. Keywords : probabilistic, Adaptive, wavelet, Texture.
@INPROCEEDINGS{Brady03a,
|
author |
= |
{Brady, K. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. British Machine Vision Conference (BMVC)}, |
address |
= |
{Norwich, U. K.}, |
pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/Brady03bmvc.pdf}, |
keyword |
= |
{probabilistic, Adaptive, wavelet, Texture} |
} |
Abstract :
Remote sensing imagery plays an important role in many elds. It has
become an invaluable tool for diverse applications ranging from cartography
to ecosystem management. In many of the images processed in these types
of applications, semantic entities in the scene are correlated with textures
in the image. In this paper, we propose a new method of analysing such
textures based on adaptive probabilistic models of wavelet packets. Our approach
adapts to the principal periodicities present in the textures, and can
capture long-range correlations while preserving the independence of the
wavelet packet coefcients. This technique has been applied to several remote
sensing images, the results of which are presented. |
|
170 - Natural image modeling using complex wavelets. A. Jalobeanu and L. Blanc-Féraud and J. Zerubia. In Proc. SPIE Conference on Wavelets, Vol. 5207, San Diego, August 2003.
@INPROCEEDINGS{Jalobfjz,
|
author |
= |
{Jalobeanu, A. and Blanc-Féraud, L. and Zerubia, J.}, |
title |
= |
{Natural image modeling using complex wavelets}, |
year |
= |
{2003}, |
month |
= |
{August}, |
booktitle |
= |
{Proc. SPIE Conference on Wavelets}, |
volume |
= |
{5207}, |
address |
= |
{San Diego}, |
url |
= |
{http://spie.org/Publications/Proceedings/Paper/10.1117/12.507945}, |
keyword |
= |
{} |
} |
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