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Publications about Geometric prior
Result of the query in the list of publications :
2 Conference articles |
1 - A phase field higher-order active contour model of directed networks.
A. El Ghoul and I. H. Jermyn and J. Zerubia. In 2nd IEEE Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, at ICCV, Kyoto, Japan, September 2009.
Keywords : Geometric prior, Shape, Higher-order actif contours, Phase Field, Directed networks.
Copyright : ©2009 IEEE.
@INPROCEEDINGS{ElGhoul09b,
|
| author |
= |
{El Ghoul, A. and Jermyn, I. H. and Zerubia, J.}, |
| title |
= |
{A phase field higher-order active contour model of directed networks}, |
| year |
= |
{2009}, |
| month |
= |
{September}, |
| booktitle |
= |
{2nd IEEE Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, at ICCV}, |
| address |
= |
{Kyoto, Japan}, |
| url |
= |
{https://hal.inria.fr/inria-00409910}, |
| pdf |
= |
{http://hal.inria.fr/docs/00/40/99/10/PDF/nordia09aymenelghoul.pdf}, |
| keyword |
= |
{Geometric prior, Shape, Higher-order actif contours, Phase Field, Directed networks} |
| } |
Abstract :
The segmentation of directed networks is an important
problem in many domains, e.g. medical imaging (vascular
networks) and remote sensing (river networks). Directed
networks carry a unidirectional flow in each branch, which
leads to characteristic geometric properties. In this paper,
we present a nonlocal phase field model of directed networks.
In addition to a scalar field representing a region
by its smoothed characteristic function and interacting nonlocally
so as to favour network configurations, the model
contains a vector field representing the ‘flow’ through the
network branches. The vector field is strongly encouraged
to be zero outside, and of unit magnitude inside the region;
and to have zero divergence. This prolongs network
branches; controls width variation along a branch; and
produces asymmetric junctions for which total incoming
branch width approximately equals total outgoing branch
width. In conjunction with a new interaction function, it
also allows a broad range of stable branch widths. We
analyse the energy to constrain the parameters, and show
geometric experiments confirming the above behaviour. We
also show a segmentation result on a synthetic river image. |
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2 - Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images.
A. El Ghoul and I. H. Jermyn and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Glasgow, Scotland, August 2009.
Keywords : Geometric prior, Shape, Higher-order active contour, Phase Field, remote sensing.
Copyright : EURASIP
@INPROCEEDINGS{ElGhoul09a,
|
| author |
= |
{El Ghoul, A. and Jermyn, I. H. and Zerubia, J.}, |
| title |
= |
{Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images}, |
| year |
= |
{2009}, |
| month |
= |
{August}, |
| booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
| address |
= |
{Glasgow, Scotland}, |
| url |
= |
{http://hal.inria.fr/inria-00390446/fr/}, |
| pdf |
= |
{http://hal.inria.fr/docs/00/39/04/46/PDF/eusipco09aymenelghoul.pdf}, |
| keyword |
= |
{Geometric prior, Shape, Higher-order active contour, Phase Field, remote sensing} |
| } |
Abstract :
The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. We incorporate such knowledge via phase fields and higher-order active contours (HOACs). In this paper: we introduce an improved prior model, the phase field HOAC ‘inflection point’ model of a network; we present an improved data term for the segmentation of road networks; we confirm the robustness of the resulting model to choice of gradient descent initialization; and we illustrate these points via road network extraction results on VHR satellite images. |
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