A Novel Combination Method for Image Restoration Based on Bootstrap Filter and DWT

In our paper, we propose a novel combination of two methods based on the bootstrap filter. We will use the fusion technique to combine the restored images from the bootstrap multivariate kernel density filter and the bootstrap kernel-diffeomorphism filter. Experimental results have shown that our method has proved the image restoration results

A set of invariant and stable descriptors for 3D gray-levels objects

The description of 3D objects independently of their position and orientation, is an important and difficult problem in pattern analysis. In this paper, we deal with this problem by a pseudo-Fourier transform on the group of motions of the 3D Euclidean space, which we denote by M(3). This transform allows us to define 3D gray-levels object descriptors which are invariant and stable with respect to M(3). This method is applied to human bones automatic classification and description.La description d'objets tridimensionnels indépendamment de leur position et de leur orientation est un problème important et difficile de l'analyse de formes. Dans cet article, nous traitons ce problème à l'aide d'une pseudo-transformation de Fourier sur le groupe M(3) des déplacements de l'espace euclidien à trois dimensions. Celle-ci nous permet de définir des descripteurs de volumes à niveaux de gris stables et invariants par rapport à M(3). Cette méthode est appliquée à la classification et la description automatiques d'os humains

Contribution de la fusion multi-capteurs par approche probabiliste et de croyance pour la localisation

Les travaux de thèse présentés dans ce mémoire portent sur la contribution de la fusion multi-capteurs par approche probabiliste et de croyance pour la localisation. En effet, deux problématiques de fusion multicapteurs ont été traitées pour l amélioration de la navigation d un véhicule terrestre en environnement urbain dense. Dans un premier temps, nous avons proposé une nouvelle solution pour l intégration des systèmes de navigation : GPS et centrale inertielle (INS). La raison de cette intégration est d exploiter les avantages de chacun des systèmes utilisés. Cette solution est basée sur de nouveaux filtres non linéaire et non paramétrique. Dans un deuxième temps, deux solutions ont été proposées pour la résolution de la divergence du filtre dans le cas ou les capteurs sont potentiellement défaillants basées sur le modèle de croyances transférables (MCT). La première consiste à introduire un capteur annexe dans les caractéristique sont connues (carte numérique). L exploitation des informations de la carte numérique s effectue par une corrélation entre la position du véhicule et les éléments géométriques représentant les routes sur la carte, connue sous le nom de mapmatching. Un nouveau algorithme de map-matching basée sur le MCT a été proposé afin d identifier le segment de route le plus crédible sur lequel le véhicule est suciptible de se trouver. La deuxième consiste à proposer un algorithme de fusion d informations permettant de tenir compte du contexte. Cette prise en compte permet de ne sélectionner à tout instant que les mesures pertinentes et de réduire l'importance ou simplement d'exclure les mesures qui pourraient perturber l information utile.The work presented in this thesis, is focused on the contribution of multisensor fusion by probabilistic and belief approaches for localization. In fact, two problems of multisensor fusion for improving the navigation of land vehicles in dense urban environment have been addressed. As a first step, we proposed a new solution for the integration of navigation systems : GPS and inertial (INS). The reason for the integration is to exploit the advantages of each system used. This solution is based on new nonlinear and nonparametric filters. In a second step, two solutions based on the transferable belief model (TBM) have been proposed to resolve the divergence of the filter in case where these sensors are potentially failing. The first is to introduce an annex sensor in characteristics are known (digital map). The exploitation of digital map information is made by a correlation between the position of the vehicle and the geometric elements representing the roads on the map known as map-matching. A new algorithm for map-matching based on the TBM has been proposed to identify the most credible road that the vehicule is to be suciptible. The second is to propose an algorithm of information fusion to take into account the context. This incorporation allows to select at any time that the relevant measures and to reduce the importance or simply to exclude measures that could disrupt information.CALAIS-BU Sciences (621932101) / SudocSudocFranceF

A New Content-Based Image Retrieval System Using Deep Visual Features

International audienceContent-based image retrieval (CBIR) is a technique for images retrieval based on their visual features, i.e. induced by their pixels. The images are, classically, described by the image feature vectors. Those vectors reflect the texture, color or a combination of them. The accuracy of the CBIR system is highly influenced by the (i) definition of the image feature vector describing the image, (ii) indexing and (iii) retrieval process. In this paper, we propose a new CBIR system entitled ISE (Image Search Engine). Our ISE system defines the optimum combination of color and texture features as an image feature vector, including the Particle Swarm Optimization (PSO) algorithm and employing an Interactive Genetic Approach (GA) for the indexing process. The performance analysis shows that our suggested PCM (Proposed Combination Method) upgrades the average precision metric from 66.6% to 89.30% for the “Food” category color histogram, from 77.7% to 100% concerning CCVs (Color Coherence Vectors) for the “Flower” category and from 58% to 87.65% regarding the DCD (Dominant Color Descriptor) for the “Building” category using the Corel dataset. Besides, our ISE system showcases an average precision of 98.23%, which is significantly higher than other CBIR systems presented in related works

Une famille d'invariants stables pour l'analyse des objets 3D à niveaux de gris

International audienceThe description of 3D objects independently of their position and orientation, is an important and difficult problem in pattern analysis. In this paper, we deal with this problem by a a pseudo-Fourier transform on the group of motions of the 3D Euclidean space, which we denote by M(3). This transform allows us to define 3D gray-levels object descriptors which are invariant and stable with respect to M(3). This method is applied to human bones automatic classification and description.La description d'objets tridimensionnels indépendamment de leur position et de leur orientation est un problème important et difficile de l'analyse de formes. Dans cet article, nous traitons de ce problème à l'aide d'une pseudo-transformation de Fourier sur le groupe M(3) des déplacements de l'espace euclidien à trois dimensions. Celle-ci nous permet de définir des descripteurs de volumes à niveaux de gris stables et invariants par rapport à M(3). Cette méthode est appliquée à la classification et à la description automatiques d'os humains

Hyperimmunoglobulin E syndrome in two siblings

Hyperimmunoglobulin E recurrent infection syndrome (HIES) is characterized by recurrent skin and lung infections, eczema, elevated serum immunoglobulin E (IgE) levels (>2000 IU/mL), various connective tissue, skeletal, and vascular abnormalities.1 We describe herein two brothers with HIES and documented the complications and management of such involvement

Further evidence of the clinical and genetic heterogeneity of recessive transgressive PPK in the Mediterranean region

International audienceTransgressive palmoplantar keratoderma (PPK) is the phenotypic hallmark of Mal de Meleda (MDM, MIM 24300). It is characterized by erythema and hyperkeratosis that extend to the dorsal face of the hands and feet. The disease is distributed worldwide and includes the Mediterranean population. The gene responsible for MDM, ARS (component B) mapped on chromosome 8qter, encodes for the SLURP-1 protein (Ly-6/uPAR related protein-1). A variety of mutations within the ARS gene have been shown to underlie MDM in different populations. Genetic heterogeneity of MDM is suspected. We have recently shown that three different homozygous mutations (82delT, C77R, C99Y) were responsible for MDM in 17 patients from Northern Tunisia belonging to eight unrelated consanguineous families. We report here a Tunisian family with three siblings presenting with recessive transgressive PPK closely resembling the MDM phenotype that excludes linkage to the ARS gene