International audienceThe characterization and estimation of the Hölder regularity of random fields has long been an important topic of Probability theory and Statistics. This notion of regularity has also been widely used in Image Analysis to measure the roughness of textures. However, such a measure is often not sufficient to characterize textures as it does account for their directional properties (e.g. isotropy and anisotropy). In this paper, we present an approach to further characterize directional properties associated to the Holder regularity of random fields. Using the spectral density, we define a notion of asymptotic topothesy which quantifies directional contributions of field high-frequencies to the Holder regularity. This noti...
Summarization: Spatially referenced data often have autocovariance functions with elliptical isoleve...
International audienceIn this paper, we propose a new and generic methodology for the analysis of te...
We study the sample paths properties of Operator scaling Gaussian random fields. Such fields are ani...
International audienceIn this paper, we describe a statistical framework for the analysis ofanisotro...
International audienceIn this paper, we propose a statistical methodology to test whether the textur...
Anisotropic Gaussian random fields arise in probability theory and in various applications. Typical ...
We consider a stochastic framework for oriented texture modeling. We study a large class of generali...
Abstract. In this paper, we propose a new and generic methodology for the analysis of texture anisot...
International audienceIn this paper, we focus on the analysis of image textures modeled by anisotrop...
In this paper, we consider a stochastic anisotropic model for medical image. We model textures by An...
The anisotropic fractional Brownian field (AFBF) is a non-stationary Gaussian random field which has...
Let X = {X(t), t ∈ RN} be a Gaussian random field with values in Rd defined by X(t) = X1(t),..., Xd(...
International audienceIn Image Analysis, Texture Analysis is an important issue which is being motiv...
Special Issue: Proceedings of the "XIème Colloque Franco-Roumain de Mathématiques Appliquées"Interna...
AbstractIn Image Analysis, Texture Analysis is an important issue which is being motivated by a wide...
Summarization: Spatially referenced data often have autocovariance functions with elliptical isoleve...
International audienceIn this paper, we propose a new and generic methodology for the analysis of te...
We study the sample paths properties of Operator scaling Gaussian random fields. Such fields are ani...
International audienceIn this paper, we describe a statistical framework for the analysis ofanisotro...
International audienceIn this paper, we propose a statistical methodology to test whether the textur...
Anisotropic Gaussian random fields arise in probability theory and in various applications. Typical ...
We consider a stochastic framework for oriented texture modeling. We study a large class of generali...
Abstract. In this paper, we propose a new and generic methodology for the analysis of texture anisot...
International audienceIn this paper, we focus on the analysis of image textures modeled by anisotrop...
In this paper, we consider a stochastic anisotropic model for medical image. We model textures by An...
The anisotropic fractional Brownian field (AFBF) is a non-stationary Gaussian random field which has...
Let X = {X(t), t ∈ RN} be a Gaussian random field with values in Rd defined by X(t) = X1(t),..., Xd(...
International audienceIn Image Analysis, Texture Analysis is an important issue which is being motiv...
Special Issue: Proceedings of the "XIème Colloque Franco-Roumain de Mathématiques Appliquées"Interna...
AbstractIn Image Analysis, Texture Analysis is an important issue which is being motivated by a wide...
Summarization: Spatially referenced data often have autocovariance functions with elliptical isoleve...
International audienceIn this paper, we propose a new and generic methodology for the analysis of te...
We study the sample paths properties of Operator scaling Gaussian random fields. Such fields are ani...