Mohamed Amine Mezghich

Ecole Nationale des Sciences de l'Informatique · GRIFT research group, CRISTAL lab

Region-based active contours give interesting results when applied for objects detection with poor contrasting edges and noise, but for medical images segmentation, where objects of interest are often present with inhomogeneity, these models fail. In this paper, we intend to present a novel method for robust medical image segmentation that incorpor...

Active contours represent a particular segmentation’s technique that has pro- ven successful salient. They are used in many applications of image analysis like medical imaging, tracking of moving object, remote sensing etc. The introduction of shape constraint to improve the performance of these methods is of an important issue. In this work, we pr...

In this paper, we present a new method to incorporate a hybrid shape prior into an edge-based active contours in order to improve its robustness to occlusions in presence. The proposed shape prior is incorporated, using statistical Map. Experimental results show the ability of the proposed prior information to constrain an evolving curve towards a...

Dans cet article, nous proposons une méthode originale pour incorporer un a priori de forme dans un modèle de contours actifs basé région afin d'améliorer sa robustesse aux similitudes, bruit et occultations. Nous définissons un a priori de forme à partir du recalage des fonctions level set associées au contour actif et une forme de référence. Le r...

In this research, we intend to present a new method of snakes with an invariant shape prior. We consider the general case where different templates are available and we have to choose the most suitable ones to define the shape constraint. A new external force is then proposed which is able to take into account several references at the same time wi...

In this research, we present a new idea to incorporate a hybrid shape constraint into a level set-based active contour in order to improve its robustness for partially occluded objects. The proposed shape prior is constructed in two steps. The first one consists in the alignment of the given training data according to the target shape. Then, the Ha...

3D reconstruction is a relatively new technique in the field of medical imaging. The main goal is to assist the physician by providing a three-dimensional model of the coronary tree from 2D sequences. We present here different methods of angiographic images filtering and one method of active contours segmentation which will allow us to rebuild the...

In this paper we intend to present an original approach that incorporates shape prior into a geometric active contours. A Fourier-based shape alignment method is used to define prior knowledge from a given reference shape. At a first step, we propose an invariant shape prior with respect to some Euclidean transformations (translation, rotation, and...

In this paper, we intend to propose a new method to incorporate geometric shape prior into an edge-based active contours for robust object detection in presence of partial occlusions, low contrast and noise. A shape registration method based on phase correlation of binary images, associated with level set functions of the active contour and a refer...

In this paper, we intend to present a new method to incorporate geometric shape prior into an edge-based active contours in order to improve its robustness to partial occlusions, low contrast and noise. The proposed shape prior is defined after the registration, based on phase correlation, of binary images associated with level set functions of the...

In this paper, we intend to present new method to incorporate geometric shape prior into region-based active contours in order to improve its robustness to noise and occlusions. The proposed shape prior is defined after the registration of binary images associated with level set functions of the active contour and a reference shape. The used regist...

Dans cet article, nous proposons une méthode originale pour incorporer un a priori de forme dans un modèle de contours actifs basé région afin d’améliorer sa robustesse aux similitudes, bruit et occultations. Nous définissons un a priori de forme à partir du recalage des fonctions level set associées au contour actif et une forme de référence. Le r...

In this paper we intend to present an original approach that incorporates geometric shape prior into region-based active contours. A Fourier-based shape alignment method is used to define prior knowledge from a reference shape. A set of complete and stable invariants to Euclidean transformations computed using Fourier transform on contours is used...

In this paper, we present a novel method to incorporate geometric shape prior into region-based active contours. Prior knowledge is obtained from a reference shape. This shape reference is used to define a new energy term obtained through a Fourier-based shape alignment. The new energy is invariant with respect to Euclidean transformations. Experim...

Segmentation is a necessary step to almost any application of image processing. It allows isolating in the image objects to be covered by the analysis and separate regions of interest from the bottom. The approach based on deformable models has become increasingly popular due to the very positive results achieved and the broad areas of application...