Add to ORKGInternational audienceWe propose a new variational model to locate points in 2-dimensional biological images. To this purpose we introduce a suitable functional whose minimizers are given by the points we want to detect. In order to provide numerical experiments we replace this energy with a sequence of a more treatable functionals by means of the notion of \Gamma-convergence
International audienceIn this paper, we propose a new mathematical model for detecting in an image s...
International audienceFitting Gaussian functions to empirical data is a crucial task in a variety of...
This paper arose from a minisymposium held in 2018 at the 9th International Conference on Curves and...
International audienceThe aim of this paper is to provide a rigorous variational formulation for the...
We propose a new variational model to isolate points in a $2$-dimensional image. To this purpose we ...
In this report we propose a new variational method to isolate points in a $2$-dimensional image. To ...
International audienceThe paper is concerned with the analysis of a new variational model torestore ...
The aim of this report is to provide a variational formulation for the detection of points in $2$-d ...
International audienceWe propose a new variational method to restore point-like and curve-like singu...
We propose a model for segmentation problems involving an energy concentrated on the vertices of an ...
Abstract: Problem statement: Edge detection is an important field in image processing. Edges charact...
Variational models for image segmentation aim to recover a piecewise smooth approximation of a given...
This thesis is devoted to the filament modeling and to the detection problem in 3D images. We develo...
We introduce and discuss shape based models for finding the best interpolation data when reconstruct...
International audienceIn this paper we describe a new variational approach for the detection of fine...
International audienceIn this paper, we propose a new mathematical model for detecting in an image s...
International audienceFitting Gaussian functions to empirical data is a crucial task in a variety of...
This paper arose from a minisymposium held in 2018 at the 9th International Conference on Curves and...
International audienceThe aim of this paper is to provide a rigorous variational formulation for the...
We propose a new variational model to isolate points in a $2$-dimensional image. To this purpose we ...
In this report we propose a new variational method to isolate points in a $2$-dimensional image. To ...
International audienceThe paper is concerned with the analysis of a new variational model torestore ...
The aim of this report is to provide a variational formulation for the detection of points in $2$-d ...
International audienceWe propose a new variational method to restore point-like and curve-like singu...
We propose a model for segmentation problems involving an energy concentrated on the vertices of an ...
Abstract: Problem statement: Edge detection is an important field in image processing. Edges charact...
Variational models for image segmentation aim to recover a piecewise smooth approximation of a given...
This thesis is devoted to the filament modeling and to the detection problem in 3D images. We develo...
We introduce and discuss shape based models for finding the best interpolation data when reconstruct...
International audienceIn this paper we describe a new variational approach for the detection of fine...
International audienceIn this paper, we propose a new mathematical model for detecting in an image s...
International audienceFitting Gaussian functions to empirical data is a crucial task in a variety of...
This paper arose from a minisymposium held in 2018 at the 9th International Conference on Curves and...