Julien Olivier

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In this paper we propose a new supervised active contour model evolving with Haralick texture features. This model is divided in two stages. First, we use a supervised step where the user defines an ideal segmentation on a learning image. A linear programming model, modeling the behavior of the active contour, is then used to determine the weights of the(More)
Active contours and surfaces are deformable models used for 2D and 3D image segmenta-tion. In this paper, we propose two methods developed in order to accelerate 3D image segmentation process. They are adaptations on active surfaces of two methods developed for 2D active contour. We use them on a discrete 3D surface model (mesh) evolving with the greedy(More)
In this paper, we propose to improve an unsupervised segmentation algorithm based on the graph diffusion and regularization model described by Ta in [1] by using Haralick texture features. With this framework, segmentation is performed by diffusing an indicator function over a graph representing an image. The benefit of our approach is to combine two(More)
Soft glassy materials exhibit the so-called glassy transition which means that the behavior of the model at low shear rate changes when a certain parameter (which we call the glass parameter) crosses a critical value. This behavior goes from a Newtonian behavior to a Herschel-Bulkley behavior through a power-law-type behavior at the transition point. In a(More)
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