Difference between revisions of "Publications/darbon.07.mirage"
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| booktitle = Proceedings of the international Computer Vision / Computer Graphics Collaboration Techniques and Applications (MIRAGE 2007) |
| booktitle = Proceedings of the international Computer Vision / Computer Graphics Collaboration Techniques and Applications (MIRAGE 2007) |
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| address = Paris, France |
| address = Paris, France |
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+ | | lrdeprojects = Image |
| − | | urllrde = 200703-MIRAGE |
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| abstract = This paper is concerned itself with the analysis of the two-phase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It consists of approximating an observed image by a piecewise constant image which can take only two values. First we show that this model with the $L^1$-norm as data fidelity yields a contrast invariant filter which is a well known property of morphological filters. Then we consider a discrete version of the original problem. We show that an inclusion property holds for the minimizers. The latter is used to design an efficient graph-cut based algorithm which computes an exact minimizer. Some preliminary results are presented. |
| abstract = This paper is concerned itself with the analysis of the two-phase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It consists of approximating an observed image by a piecewise constant image which can take only two values. First we show that this model with the $L^1$-norm as data fidelity yields a contrast invariant filter which is a well known property of morphological filters. Then we consider a discrete version of the original problem. We show that an inclusion property holds for the minimizers. The latter is used to design an efficient graph-cut based algorithm which computes an exact minimizer. Some preliminary results are presented. |
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| lrdekeywords = Image |
| lrdekeywords = Image |
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address = <nowiki>{</nowiki>Paris, France<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>Paris, France<nowiki>}</nowiki>, |
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month = mar, |
month = mar, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>This paper is concerned itself with the analysis of the |
abstract = <nowiki>{</nowiki>This paper is concerned itself with the analysis of the |
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two-phase Mumford-Shah model also known as the active |
two-phase Mumford-Shah model also known as the active |
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Revision as of 12:14, 26 April 2016
- Authors
- Jérôme Darbon
- Where
- Proceedings of the international Computer Vision / Computer Graphics Collaboration Techniques and Applications (MIRAGE 2007)
- Place
- Paris, France
- Type
- inproceedings
- Projects
- Image"Image" is not in the list (Vaucanson, Spot, URBI, Olena, APMC, Tiger, Climb, Speaker ID, Transformers, Bison, ...) of allowed values for the "Related project" property.
- Keywords
- Image
- Date
- 2006-12-29
Abstract
This paper is concerned itself with the analysis of the two-phase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It consists of approximating an observed image by a piecewise constant image which can take only two values. First we show that this model with the $L^1$-norm as data fidelity yields a contrast invariant filter which is a well known property of morphological filters. Then we consider a discrete version of the original problem. We show that an inclusion property holds for the minimizers. The latter is used to design an efficient graph-cut based algorithm which computes an exact minimizer. Some preliminary results are presented.
Bibtex (lrde.bib)
@InProceedings{ darbon.07.mirage,
author = {J\'er\^ome Darbon},
title = {A Note on the Discrete Binary {Mumford-Shah} Model},
booktitle = {Proceedings of the international Computer Vision /
Computer Graphics Collaboration Techniques and Applications
(MIRAGE 2007)},
year = 2007,
address = {Paris, France},
month = mar,
abstract = {This paper is concerned itself with the analysis of the
two-phase Mumford-Shah model also known as the active
contour without edges model introduced by Chan and Vese. It
consists of approximating an observed image by a piecewise
constant image which can take only two values. First we
show that this model with the $L^1$-norm as data fidelity
yields a contrast invariant filter which is a well known
property of morphological filters. Then we consider a
discrete version of the original problem. We show that an
inclusion property holds for the minimizers. The latter is
used to design an efficient graph-cut based algorithm which
computes an exact minimizer. Some preliminary results are
presented.}
}