Flicker stabilization in image sequences (2009)
Delon, Julie, Desolneux, Agnès
Flicker is an artefact appearing in old movies or in some videos, which is characterized by intensity changes from a frame to another. Some of these contrast changes are not global and may be...
Flicker stabilization in image sequences (2009)
Delon, Julie, Desolneux, Agnès
Flicker is an artefact appearing in old movies or in some videos, which is characterized by intensity changes from a frame to another. Some of these contrast changes are not global and may be...
c ○ 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. Meaningful Alignments (2008)
Agnès Desolneux, Lionel Moisan, Jean-michel Morel
Abstract. We propose a method for detecting geometric structures in an image, without any a priori information. Roughly speaking, we say that an observed geometric event is “meaningful ” if the...
A non parametric theory for histogram (2008)
Julie Delon, Agnès Desolneux, Ana-belén Petro
segmentation
Andrés Almansa, Agnès Desolneux, Sébastien Vamech
point detection without any a priori information
A zero-one law for first-order logic on random images (2006)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
For an $n\times n$ random image with independent pixels, black with probability $p(n)$ and white with probability $1-p(n)$, the probability of satisfying any given first-order sentence tends to 0 or...
Image denoising by statistical area thresholding (2006)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice...
Agnès Desolneux, Lionel Moisan, Jean-michel Morel
Angeles. It is also being taught by Andrès Almansa at the Facultad de Ingeneria, Montevideo. This text will be of interest to several kinds of audiences. Our teaching experience proves that...
Agnès Desolneux, Lionel Moisan, Jean-michel Morel
Angeles. It is also being taught by Andrès Almansa at the Facultad de Ingeneria, Montevideo. This text will be of interest to several kinds of audiences. Our teaching experience proves that...
Image denoising by statistical area thresholding (2005)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice...
A unified framework for detecting groups and application to shape recognition (2005)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is...
A unified framework for detecting groups and application to shape recognition (2005)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is...
A unified framework for detecting groups and application to shape recognition (2005)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is...
A unified framework for detecting groups and application to shape recognition (2005)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is...
Image denoising by statistical area thresholding (2005)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice...
A unified framework for detecting groups and application to shape recognition (2005)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is...
Image denoising by statistical area thresholding (2005)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice...
Image denoising by statistical area thresholding (2005)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice...
An a contrario approach to hierarchical clustering validity assessment (2004)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
In this paper we present a method to detect natural groups in a data set, based on hierarchical clustering. A measure of the meaningfulness of clusters, derived from a background model assuming no...
A zero-one law for first-order logic on random images (2004)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
For an $n\!\times\! n$ random image with independent pixels, black with probability $p(n)$ and white with probability $1\!-\!p(n)$, the probability of satisfying any given first-order sentence tends...
An a contrario approach to hierarchical clustering validity assessment (2004)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
In this paper we present a method to detect natural groups in a data set, based on hierarchical clustering. A measure of the meaningfulness of clusters, derived from a background model assuming no...
An a contrario approach to hierarchical clustering validity assessment (2004)
Cao, Frédéric, Delon, Julie, Desolneux, Agnès, Musé, Pablo, Sur, Frédéric
In this paper we present a method to detect natural groups in a data set, based on hierarchical clustering. A measure of the meaningfulness of clusters, derived from a background model assuming no...
A zero-one law for first-order logic on random images (2004)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
For an $n\!\times\! n$ random image with independent pixels, black with probability $p(n)$ and white with probability $1\!-\!p(n)$, the probability of satisfying any given first-order sentence tends...
A zero-one law for first-order logic on random images (2004)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
For an $n\!\times\! n$ random image with independent pixels, black with probability $p(n)$ and white with probability $1\!-\!p(n)$, the probability of satisfying any given first-order sentence tends...
A zero-one law for first-order logic on random images (2004)
Coupier, David, Desolneux, Agnès, Ycart, Bernard
For an $n\!\times\! n$ random image with independent pixels, black with probability $p(n)$ and white with probability $1\!-\!p(n)$, the probability of satisfying any given first-order sentence tends...
Frédéric Cao, Julie Delon, Agnès Desolneux, Pablo Musé, Frédéric Sur
a contrario approach to hierarchical clustering validity assessment
Maximal meaningful events and applications to image analysis (2003)
Desolneux, Agnès, Moisan, Lionel, Morel, Jean-Michel
We discuss the mathematical properties of a recently introduced method for computing geometric structures in a digital image without any a priori information. This method is based on a basic...
Computational Gestalts and Perception Thresholds (2002)
Agnès Desolneux, Lionel Moisan, Jean-michel Morel
In 1923, Max Wertheimer proposed a research programme and method in visual perception.
Automatic image analysis : a challenge for Computer Vision (2001)
DESOLNEUX, Agnès, MOISAN, Lionel, MOREL, Jean-Michel
- Nous exposons une méthode récente pour trouver des structures géométriques arbitraires dans une image, sans information ou modèle a priori. Par un principe de la perception dû à Helmholtz,...
An a contrario approach to hierarchical clustering validity assessment (1647)
Frédéric Cao, Julie Delon, Agnès Desolneux, Pablo Musé, Frédéric Cao, ...
In this paper we present a method to detect natural groups in a data set, based on hierarchical clustering. A measure of the meaningfulness of clusters, derived from a background model assuming no...